US20100131307A1 - Monetization of performance information of an insured vehicle - Google Patents

Monetization of performance information of an insured vehicle Download PDF

Info

Publication number
US20100131307A1
US20100131307A1 US12/624,366 US62436609A US2010131307A1 US 20100131307 A1 US20100131307 A1 US 20100131307A1 US 62436609 A US62436609 A US 62436609A US 2010131307 A1 US2010131307 A1 US 2010131307A1
Authority
US
United States
Prior art keywords
vehicle
information
performance
advertisement
component
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US12/624,366
Inventor
Fred Collopy
Craig Allen Nard
Himanshu S. Amin
Gregory Turocy
Seyed Vahid Sharifi Takieh
Ronald Charles Krosky
David Noonan
Gustavo Arnaldo Narvaez
Brian Asquith
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
RCK-IP LLC
Great Lakes Incubator LLC
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to US12/624,366 priority Critical patent/US20100131307A1/en
Priority to PCT/US2009/065730 priority patent/WO2010062899A1/en
Publication of US20100131307A1 publication Critical patent/US20100131307A1/en
Assigned to RCK-IP LLC reassignment RCK-IP LLC ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: KROSKY, RONALD C.
Assigned to GREAT LAKES INCUBATOR, LLC reassignment GREAT LAKES INCUBATOR, LLC ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: TW VI HOLDINGS, LLC
Assigned to GREAT LAKES INCUBATOR, LLC reassignment GREAT LAKES INCUBATOR, LLC ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: COLLOPY, FRED, NARD, CRAIG ALLEN
Assigned to TW VI HOLDINGS LLC reassignment TW VI HOLDINGS LLC ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: AMIN, HIMANSHU S., TUROCY, GREGORY, NOONAN, DAVID, SHARIFI TAKIEH, SEYED VAHID, ASQUITH, BRIAN, NARVAEZ, GUSTAVO ARNALDO
Abandoned legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08Insurance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0207Discounts or incentives, e.g. coupons or rebates
    • G06Q30/0224Discounts or incentives, e.g. coupons or rebates based on user history
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0251Targeted advertisements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0251Targeted advertisements
    • G06Q30/0265Vehicular advertisement
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0251Targeted advertisements
    • G06Q30/0269Targeted advertisements based on user profile or attribute
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0273Determination of fees for advertising
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/04Billing or invoicing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions

Definitions

  • the subject disclosure relates generally to insurance benefits and optimization thereof and, more specifically, to monetization of knowledge of operation characteristics of an insured entity.
  • Insurance benefit(s), or coverage typically refers to a contract, wherein an insurance carrier agrees to pay for insured financial losses resulting from a specified event.
  • Such insurance benefit(s) is a commodity that many people purchase for peace of mind or because local laws require such coverage. Thus, most people might consider insurance as something that is necessary and, at times, undesirable due to insurance premiums.
  • Rates of insurance benefit(s), such as car insurance rates, are typically determined based on desired benefit(s) and various factors related to the prospective beneficiary that are mostly historical and rather limited.
  • the insurance company determines insurance costs based on insurance models that classify segments of the population in groups sharing similar data, such as data on features of beneficiary (e.g., health condition(s)) or property intended to be insured (car make and model, car color, car features, whether the car is garaged, estimated miles to/from the office, etc.); demographic data (e.g., age group, sex, marital status, educational background, ethnicity); historical data related to intended insurance benefit, which can include driving history as recorded primarily based on an event basis (accident(s), ticket(s) for traffic violation, processed claim(s), etc.); environmental factors related to where the prospective beneficiary lives, which is commonly factored in through ZIP code and available information thereof, recorded appraised value of property, crime rate in the area; and so forth.
  • features of beneficiary e.g., health condition(s)
  • most insurance benefit(s), such as motor vehicle insurance coverage, provided by conventional insurance carriers is typically rigidly priced and billed in relatively long time scales, e.g., in monthly or semi-annually periods. Rates occasionally fluctuate, but commonly, fluctuations only occur at the end of such relatively long time scales and can be based on additional factors unrelated directly to features or characteristics of the beneficiary, e.g., an automobile owner. Accordingly, adjustment to insurance benefit(s) and pricing thereof can significantly fail to timely accommodate changes to beneficiary's needs or be supplied at a fair price-point.
  • real time analytics is utilized to selectively adjust insurance premiums, coverage, and other parameters.
  • One or more embodiments provide system(s) and method(s) to incentivize adoption of time-dependent customized insurance benefit(s).
  • a provider of insurance benefit(s) incentivizes adoption of the insurance benefit(s) in exchange for knowledge of operation characteristics of an insured entity. Incentivation is accomplished at least in part through generation of incentive offer(s) based on available knowledge. Knowledge is associated with an operator of the insured entity rather than with such entity, and the operator can regulate the scope of exchanged knowledge, and received incentive offer(s) and related content. Knowledge is cumulative and collected from insured entity and environment in which the entity operates.
  • Incentive offer(s) can be directed to provision of insurance benefit coverage that is adequate to current or nearly-current operation condition(s); discounted real-time or nearly real-time insurance benefits; or subsidized service(s). Offered incentives can be afforded at least in part through monetization of available knowledge via commercialization thereof or targeted advertisement.
  • insurance benefit(s) can include health insurance coverage, in which case performance information comprises vitals, biometrics, or other physiological data or metrics of an individual as well as data on environment in which the individual lives or works.
  • the insurance benefit(s) can encompass home insurance coverage, wherein performance information can include data on whether the house doors are locked when no one is present, or property vandalism events affect location of insured house, etc.
  • FIG. 2 illustrates an example embodiment of a communication framework that is part of an example system as conveyed in FIG. 1 in accordance with aspects described herein.
  • FIG. 3 displays a block diagram of an example system that enables incentivation of adoption of real-time or nearly real-time insurance benefits in accordance with aspects described herein.
  • FIG. 4 presents an example embodiment of a component that manages data on operation of a vehicle in accordance with aspects described herein.
  • FIG. 5 illustrates an example embodiment of a component that generates insurance benefit(s) and related incentive offer(s) in accordance with aspects of the subject disclosure.
  • FIG. 6 is a block diagram of an example system that allows incentivation of adoption of real-time or nearly real-time insurance benefit(s) in accordance with features disclosed herein.
  • FIG. 7 is a block diagram of an example system that enables monetization of collected operation information of an insured vehicle in accordance with aspects described herein.
  • FIG. 8 is a flowchart of an example method for incentivizing adoption of time-dependent insurance benefit(s) according to aspects described herein.
  • FIG. 9 is a flowchart of an example method for issuing a set of incentive offer(s) to engage time-dependent insurance benefit(s) according to aspects described herein.
  • FIG. 10 displays a flowchart of an example method for providing performance record(s) according to aspects disclosed herein.
  • FIG. 11 is a flowchart of an example method for monetizing operation information of an insured entity in accordance with aspects described herein.
  • FIG. 12 displays a flowchart of an example method for monetizing available performance information according to aspects described herein.
  • FIGS. 13-14 illustrate block diagrams of computing environments that can execute or implement the disclosed aspects.
  • a component may be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and/or a computer.
  • a component may be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and/or a computer.
  • an application running on a server or network controller and the server or network controller can be a component.
  • One or more components may reside within a process and/or thread of execution and a component may be localized on one computer and/or distributed between two or more computers. Also, these components can execute from various computer readable media having various data structures stored thereon. The components may communicate via local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the Internet with other systems via the signal).
  • a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the Internet with other systems via the signal).
  • a component can be an apparatus with specific functionality provided by mechanical parts operated by electric or electronic circuitry, which is operated by a software, or firmware application executed by a processor, wherein the processor can be internal or external to the apparatus and executes at least a part of the software or firmware application.
  • a component can be an apparatus that provides specific functionality through electronic components without mechanical parts, the electronic components can include a processor therein to execute software or firmware that provides at least in part the functionality of the electronic components.
  • interface(s) can include input/output (I/O) components as well as associated processor, application, or Application Programming Interface (API) components. While the foregoing examples are directed to aspects of a component, the exemplified aspects or features also apply to a system, platform, module, interface, and the like.
  • Artificial intelligence based systems can be employed in connection with performing inference and/or probabilistic determinations and/or statistical-based determinations as in accordance with one or more aspects as described hereinafter.
  • the term “inference” refers generally to the process of reasoning about or inferring states of the system, environment, and/or user from a set of observations as captured through events, sensors, and/or data. Inference can be employed to identify a specific context or action, or can generate a probability distribution over states, for example. The inference can be probabilistic—that is, the computation of a probability distribution over states of interest based on a consideration of data and events.
  • Inference can also refer to techniques employed for composing higher-level events from a set of events and/or data. Such inference results in the construction of new events or actions from a set of observed events and/or stored event data, whether or not the events are correlated in close temporal proximity, and whether the events and data come from one or several event and data sources.
  • Various classification schemes and/or systems e.g., support vector machines, neural networks, expert systems, Bayesian belief networks, fuzzy logic, data fusion engines . . .
  • the word “exemplary” is used to mean serving as an example, instance, or illustration. Any aspect or design described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other aspects or designs. Rather, use of the word exemplary is intended to present concepts in a concrete fashion.
  • a “set” in the subject disclosure includes one or more elements or entities.
  • a set of offers includes one or more offers, or a set of devices includes K devices with K a natural number greater than or equal to unity.
  • the subject disclosure provides system(s) and method(s) to incentivize adoption of real-time or nearly real-time customized insurance benefit(s).
  • a provider of insurance benefit(s) incentivizes adoption of the insurance benefit(s) in exchange for knowledge of, or information on, operation characteristics of an insured entity.
  • Knowledge is cumulative and can be collected from the insured entity or an environment in which the entity operates; performance collection components can probe operation conditions and environment of the insured entity. Incentivation can be accomplished at least in part through generation of incentive offer(s) based on available knowledge and exposure of such offer(s) to an operator of the insured entity.
  • incentive offer(s) can be customized for the operator irrespective of details (e.g., vehicle make or model) of the insured entity.
  • the operator can regulate the volume and detail of knowledge, or information, exchanged with the provider of insurance benefit(s); likewise, the operator can specify the scope, e.g., type and desired features, of received incentive offer(s) and related content, such as advertisement.
  • Incentive offer(s) can be directed to provision of insurance benefit coverage that is adequate to current or nearly current operation condition(s); discounted real-time or nearly real-time insurance benefits; or (iii) subsidized service(s).
  • the subject disclosure provides system(s) and method(s) to monetize knowledge of operation characteristics of an insured entity are provided.
  • the provider of insurance benefit(s) supplies knowledge of operation characteristics of an insured entity in exchange for a financial compensation.
  • Financial compensation also can be received through commercialization of resources to expose an agent (e.g., an operator, an occupant, a resident, etc.) linked to the insured entity to advertisement in addition to delivery of the knowledge of operation characteristics of the insured entity.
  • the provider of insurance benefit(s) can exploit the financial compensation to afford, at least in part, incentives directed to discounted insurance benefit(s) or subsidized service(s).
  • operational performance of a vehicle utilized as part of time-dependent insurance benefit(s) not only can reward a safe operator with discounted insurance benefit(s) rates, but it can incentivize the safe operator to maintain a time-dependent insurance benefit policy.
  • Operational performance as exploited herein provides real-time or nearly real-time data on performance, or operation, of a vehicle and the environment on which the vehicle performs, and can be utilized in conjunction with other information to evaluate driving behavior and assess, in real-time or nearly real-time, insurance benefit(s) costs and establish incentives related to such insurance benefit(s).
  • FIG. 1 is a high-level representation of a system 100 that promotes adoption of real-time or nearly real-time insurance benefit(s) in accordance with aspects of the subject disclosure.
  • the real-time or nearly real-time insurance benefit(s) includes insurance for vehicle 110 ; however, the real-time benefit(s) can include other benefits, such as health insurance, life insurance, or the like, related to operator(s) or occupant(s) of vehicle 110 .
  • Such real-time or nearly real-time insurance benefit(s) are provided (e.g., offered, marketed, issued, administered, or effected) by service provider platform 120 .
  • vehicle 110 or a device linked thereto supplies service provider platform 120 with information 134 on performance, or operation, of vehicle 110 and, in response, incentive offer(s) 138 is received.
  • Information 134 and incentive offer(s) 138 can be exchanged through a communication framework 130 , which can include various communication networks, mobile and non-mobile, and associated functional elements (e.g., component(s), server(s), access point(s) . . . ) that enable communication; communication networks can include personal network(s) (e.g., point-to-point short-range telecommunication network based on, for example, wearable devices); local area network(s); or wide area network(s).
  • a communication framework 130 can include various communication networks, mobile and non-mobile, and associated functional elements (e.g., component(s), server(s), access point(s) . . . ) that enable communication; communication networks can include personal network(s) (e.g., point-to-point short-range telecommunication network based on, for example,
  • Service provider platform 120 or related third-party network(s) 150 can issue incentive offer(s) 138 based at least in part on available information, which can be current or nearly current information or historical information.
  • Service network platform 120 is functionally connected to third-party network(s) 150 via interface 152 , which can include I/O interface components (e.g., modem(s), gateway(s), router(s), server(s) . . . ), wired or wireless links, or the like.
  • information 134 can include cumulative performance data, or historical performance data.
  • Performance data can be collected by vehicle 110 , or a device functionally coupled thereto, and can include data intrinsic to vehicle 110 or data extrinsic to vehicle 110 .
  • Intrinsic data can comprise location (e.g., latitude, longitude, altitude), velocity, acceleration or deceleration (e.g., driven by actuation of brake(s) of vehicle 110 ), or operational condition(s) (e.g., mileage, maintenance and repair records) of vehicle 110 .
  • extrinsic data includes data on operator or occupant(s) of vehicle 110 , or data on operation environment 140 .
  • the operation environment 140 can be a highway in which vehicle 110 travels and the extrinsic data can include position of surrounding (in-road or off-road) vehicles relative to vehicle 110 ; velocity or acceleration of surrounding vehicles; traffic data (average velocity of a group of cars, presence of accident(s), etc.) at nearby location(s) that is part of a planned trajectory of vehicle 110 ; identified road hazards; intended destination or departure location (R(t 0 )); or the like.
  • operation environment 140 can include location(s) in which vehicle 110 operates (e.g., high or low accident area, high car damage or theft area, safe garage parking area . . . ).
  • information 134 conveys rich, highly segmented contextual data (e.g., data on several facets of operation of vehicle 110 , or operator or occupant(s) thereof) that service provider platform 120 or related third-party network(s) 150 can exploit to generate incentive offer(s) 138 .
  • incentive offer(s) 138 described herein are highly customized, beneficiary-centric offer(s).
  • incentive offer(s) 138 can be adjusted in real-time or nearly real-time in response to time-dependent variations in information 134 .
  • incentives offer(s) 138 are exchanged for information 134 , such incentive offer(s) can provide value to both service provider platform and prospective beneficiary of retained insurance benefits.
  • incentive offer(s) 138 can be directed to provision of (i) insurance benefit(s), or coverage, that is adequate to current or nearly-current operation condition(s) of vehicle 110 , in addition to specific incentive package(s); (ii) discounted real-time or nearly real-time insurance benefit(s) for vehicle 110 ; (iii) subsidized service(s) that operator of vehicle 110 or occupant(s) thereof can consume; or (iv) enhanced incentive package(s), particularly in scenarios in which service provider platform 120 increases price-point, or rate, of insurance benefit(s) in view of received information 134 .
  • incentive offer(s) 138 directed primarily to provision of adequate coverage can increase customer loyalty through generation of highly customized, dynamic insurance benefit(s).
  • service provider platform 120 or one or more of third-party network(s) 150 can subsidize discounts for insurance benefit(s) that operator of vehicle 110 can acquire.
  • Magnitude of discounts can be assessed based at least in part on at least one of volume and detail of information 134 that is communicated to service provider platform 120 ; scope of incentive offer(s) 138 allowed to be received; or scope of recipients of information 134 .
  • higher detail, or granularity, and/or higher scope can result in higher discounts.
  • higher granularity can result in “forgiveness” of specific information within information 134 that can be typically adverse to beneficiary, e.g., operator of vehicle 110 , and can result in increase of rate of insurance benefit(s); for instance, an operator that discloses received tickets for traffic violation(s), e.g., camera-captured speeding infraction, can avoid increase in insurance benefit rate if the unlawful speed was within a predetermined threshold (e.g., 2-4 miles per hour) of a speed limit in the area in which the camera captured the traffic violation.
  • a predetermined threshold e.g., 2-4 miles per hour
  • Such threshold or other forgiveness criteria can be established by service provider platform 120 , e.g., insurance company, based on normal or expected conduct of operation of vehicle 110 .
  • discounts for insurance benefit(s) can be determined by type and volume of advertisement that operator of vehicle 110 agrees to receive from service provider platform 120 or third-party network(s) 150 .
  • service provider platform 120 can subsidize insurance benefit(s) through revenue originated from sale or lease of resources (e.g., radio channel(s) or radio time slot(s), display real estate in navigation device) for advertisement within vehicle 110 .
  • resources e.g., radio channel(s) or radio time slot(s), display real estate in navigation device
  • Specific departments of service provider platform 120 , retailers, third-party network(s) can purchase or lease such advertisement resources.
  • discounted price-point for insurance benefit(s) can be achieved if operator of vehicle 110 accepts an incentive offer to receive customized, or contextual, promotional content from the service provider platform 120 or specific advertiser(s).
  • promotional content can be customized based at least in part on a portion of information 134 that is made available to the service provider platform 120 or the specific advertiser. Based on the portion of information 134 , customization can be accomplished as a function of at least one of time, location, or event(s).
  • the portion of information 134 that is made available can include typical mobility trajectories of vehicle 110 ; such information can be provided to retailers (restaurants, bookstores, coffee shops, etc.) located in the vicinity of the mobility trajectories, e.g., a route of vehicle 110 from a starting point to a destination, a retailer within such retailers can deliver advertisement(s) or incentives, e.g., coupons, at times in which vehicle 110 is in proximity of the retailer location.
  • the portion of information 134 that is supplied includes common destinations, e.g., historically re-incident locations, of vehicle 110 , retailers can advertise specific merchandise related to the destination.
  • the common destinations are, for example, a childcare facility, a coffee shop, and a health club, retailers that sale diapers, baby formula, children clothing; custom coffee blends and espresso machines; and nutrition supplements can supply advertisement to vehicle 110 or related operator.
  • the available portion of information 134 includes specific mechanical condition(s) of vehicle 110 and position, coupon(s) and contact information (e.g., telephone number, email address, website address) of a nearby repair shop and towing service can be delivered to vehicle 110 in an emergency event.
  • operator e.g., driver
  • vehicle 110 can elect to allow or block specific information from service provider platform 120 (e.g., insurance company) or other entities such as law enforcement agencies (e.g., third-party network(s) 150 ). Based on such election, scope of information 134 can be determined, and service provider (e.g., insurance company) can provide lower or higher rate(s) for insurance benefit(s); in one example, allowing broad information to be conveyed as part of information 134 may result in lower rates.
  • service provider platform 120 e.g., insurance company
  • law enforcement agencies e.g., third-party network(s) 150
  • scope of information 134 can be determined, and service provider (e.g., insurance company) can provide lower or higher rate(s) for insurance benefit(s); in one example, allowing broad information to be conveyed as part of information 134 may result in lower rates.
  • an advertiser or service provider exposed to such information can subsidize one or more services for the operator.
  • the service can include wireless service, such as voice, data, or voice and data; road assistance; medical or dental services, e.g., if the dentist office is in proximity of workplace of operator, dentist can provide discounted service; salon or barber service; etc.
  • service provider platform 120 can promote adoption of real-time or nearly real-time insurance benefit(s) through enhanced incentive package(s), such as discounted operation (e.g., driving) educational material(s) or operation lesson(s). It should be appreciated that access to such material can benefit both operator of vehicle 110 and service provider platform 120 (e.g., insurance company), since safer operation of vehicle 110 reduces risk of operator pursuing a claim as a result of accident, which reduces expenses for service provider platform 120 , and operator of vehicle 110 improves performance and thus can reduce rate of insurance benefit(s) over time.
  • service provider platform 120 e.g., insurance company
  • FIG. 2 illustrates an example embodiment of a communication framework that is part of an example system 200 to promote adoption of real-time or nearly real-time insurance benefit(s) in accordance with aspects of the subject disclosure.
  • the illustrated communication framework can embody communication framework 130 .
  • Vehicle 110 communicates with service network 120 through wide area network (WAN) 210 , which can include wireless and wireline functional elements that enable communication throughout various geographical areas.
  • Operation environment 140 can be part of deployment region(s) of WAN 210 , even though it is illustrated as a separate entity.
  • An insurance benefit carrier, or insurance company, that administers service provider platform 120 need not own WAN 210 in order to accomplish communication with vehicle 110 or device(s) linked thereto.
  • vehicle 110 can deliver traffic, or user data, and control data, or signaling, to access point(s) (AP(s)) 220 via wireless link 224 ; likewise, vehicle 110 can receive traffic and signaling from AP(s) 220 via wireless link 224 .
  • access point(s) AP(s)
  • vehicle 110 can serve traffic and signaling to vehicle 110 .
  • Signaling and traffic can be delivered or received in accordance with one or more radio technology protocols, such as Third Generation Partnership Project (3GPP) Long Term Evolution (LTE), 3GPP Universal Mobile Telecommunication System (UMTS), 3GPPP High Speed Packet Access (HSPA), or fourth generation (4G) radio technologies such as LTE Advanced (LTE-A).
  • 3GPP Third Generation Partnership Project
  • LTE Long Term Evolution
  • UMTS 3GPP Universal Mobile Telecommunication System
  • HSPA High Speed Packet Access
  • 4G fourth generation
  • a network interface (not shown) with wireless functionality and related circuitry, e.g., antenna(s), modem, codec(s), etc., in vehicle 110 can enable such exchange of traffic and signal amongst vehicle 110 and AP(s) 220 .
  • Traffic and signaling received in AP(s) 220 can be relayed to one or more network management component(s) (e.g., radio network controller (RNC), mobility management entity (MME), network gateway(s) . . . ) within WAN 210 , which can deliver at least a portion of the traffic and signaling to a gateway (GTY) 230 , which functionally connects WAN 210 to service network 120 via link(s) 234 .
  • Link(s) 234 can include wired link(s), e.g., reference link(s), or wireless or wired backhaul pipe(s).
  • service network platform 120 is functionally connected to third-party network(s) 150 via interface 152 .
  • Service network platform 120 or third-party network(s) 150 can deliver traffic and signaling to vehicle 110 through the functional element(s) described supra.
  • Third-party network(s) 150 can route traffic or signaling through service provider platform 120 or direct connectivity to link(s) 234 , via interface 236 (wired or wireless link(s), reference link(s), router(s), gateway(s), etc.).
  • FIG. 3 displays a block diagram of an example system 300 that enables incentivation of adoption of real-time or nearly real-time insurance benefit(s) in accordance with aspects described herein.
  • FIGS. 4-5 are referenced to illustrate various features or aspects of example system 300 or specific component(s) therein.
  • intrinsic data and extrinsic data on performance, or operation, of a vehicle, e.g., 110 compose performance information, e.g., 134 , that is utilized to produce incentive offer(s), e.g., 138 , to adopt real-time or nearly real-time insurance benefit(s).
  • the performance information can characterize operational behavior of vehicle 110 .
  • one or more performance metric collection component(s) 310 can probe various sources of performance operation condition(s) of a vehicle (e.g., 110 ) or features(s) of an operation environment (e.g., 140 ) of the vehicle in order to gather at least one of intrinsic data or extrinsic data, indicated with data 312 .
  • Performance collection component(s) 310 can be integrated with the vehicle (e.g., 110 ) for which performance operation information, or knowledge, is collected.
  • performance collection component(s) 310 can be embodied in a computerized monitoring box integrated with the vehicle and that probes mechanical condition(s) thereof (tire pressure, oil or fuel level, battery charge, fluid(s) temperature, payload weight, etc.) or operation parameters such as velocity, and acceleration or deceleration of the vehicle.
  • an integrated navigation system e.g., a satellite-based navigation unit and associated electronic circuitry
  • integrated cameras e.g., for vehicle assisted maneuvering
  • At least one or more performance collection component(s) 310 can be embodied as sensors integrated in the steering wheel or other control device (e.g., a joystick in an aircraft) of vehicle 110 .
  • sensors can efficiently allow collection of biological or medical data of operator of vehicle 110 without reliance on, for example, wearable devices, which may not be readily adopted by older drivers or operators.
  • performance collection component(s) 310 can be part of an add-on device, and associated circuitry, operationally coupled, e.g., attached through a functionally active wired or wireless link and suitable interface(s), to the vehicle.
  • one or more of performance collection component(s) 310 can be embodied in a mobile station (smartphone, wireless enable personal computer), which can supply at least one of location data or trajectory data such as velocity and acceleration or deceleration.
  • location data or trajectory data such as velocity and acceleration or deceleration.
  • such data can be collected through a global navigation satellite system (Global Positioning System (GPS), Galileo, etc.) transceiver and processor that operates in the mobile station.
  • GPS Global Positioning System
  • Galileo Galileo, etc.
  • data can be collected through an add-on navigation device, and associated circuitry.
  • One or more components in performance collection component(s) 310 can enable identification of an operator of a vehicle.
  • a biometric reader an iris scan, fingerprint reader, etc.
  • a vehicle that includes wireless communication functionality e.g., point-to-point short-range wireless access point(s), or other types of vehicular access point(s)
  • wireless communication functionality e.g., point-to-point short-range wireless access point(s), or other types of vehicular access point(s)
  • collected performance data can be independent of operated vehicle.
  • Performance data also can associated with an operator in vehicles that lack biometric readers or limited wireless functionality.
  • a device, and associated circuitry, that can identify the operator can be carried by the operator.
  • a radiofrequency (RF) transceiver device attached to a keyfob can be actuated by an RF scanner affixed to the vehicle and thus provide identification for the operator.
  • RF scanner a radiofrequency scanner affixed to the vehicle and thus provide identification for the operator.
  • a tag with a barcode associated with the vehicle or one or more performance collection component(s) can be scanned prior to operation of vehicle.
  • Other identification means are also possible.
  • performance collection component(s) 310 can generally include at least one of a processor, a memory, one or more components, or circuitry for communication amongst the one or more components, the processor, and the memory, in order to implement collection of performance data.
  • the one or more components that can be part of performance collection component(s) 310 can be retained within the memory as set(s) of code instructions that are executed by the processor to enable at the very least collection and delivery of performance data as described herein. Execution of such code instructions also can enable exchange of at least performance data with other functional elements in example system 300 .
  • intrinsic and extrinsic data on performance, or operation can be conveyed to a set of operator-machine interface(s) 330 , which can include conventional vehicular dashboard panels or advanced windshield display(s), and to an election component 320 that can administer or manipulate such data, and regulate access thereto in accordance with an election of incentive offer(s) 376 .
  • intrinsic or extrinsic data on performance, or operation can be collected in accordance with collection logic 358 , which can establish, at least in part, at least one of scope of collected data or data that is to be conveyed to operator-machine interface(s) 330 or election component 320 .
  • Information management component 324 receives data on performance, or operation, and generates performance record(s), which can be at least one of (1) instantaneous record(s) that convey performance as probed at a current or nearly current instant, or (2) aggregated record(s) over a predetermined performance period.
  • instantaneous record(s) can replicate received data 312 ; e.g., instantaneous record(s) can comprise “raw” operation data.
  • information management component 324 can receive performance data in format(s) native to performance collection component(s) 310 and format generated performance record(s) in accordance to a protocol suitable for communication via access network 370 .
  • Generated performance record(s) can be specific to an operator of the vehicle for which the performance data is gathered; performance record(s) can be retained in memory 350 within memory element 352 classified according to operator, as illustrated by memory element(s) 354 , which can comprise one or more databases.
  • information management component 324 can include a mining component 404 that generates performance record(s) in accordance with (1) or (2).
  • mining component 404 can compute statistics (e.g., mean, standard deviation and other momenta, etc.), extract patterns; identify data clusters; extract correlations; etc.
  • information management component 324 can select a portion of performance record(s) 352 , for a specific operator as recorded in memory element(s) 354 , and deliver the selected portion to service provider platform 120 as operation information (e.g., 134 ).
  • the selected portion of record(s) can be part of conveyed record(s) 374 .
  • selection of performance record(s) 352 can proceed in accordance with privacy criteria 362 , which comprises a configurable set of rules that control volume and detail level (e.g., instantaneous record(s), aggregated record(s)) of performance information, e.g., record(s) 374 , that is delivered to at least one of service provider platform 120 or third-party network(s) 150 .
  • privacy criteria 362 comprises a configurable set of rules that control volume and detail level (e.g., instantaneous record(s), aggregated record(s)) of performance information, e.g., record(s) 374 , that is delivered to at least one of service provider
  • the set of rules can be configured by the operator of a vehicle (e.g., 110 ) for which the data on performance is collected.
  • election component 320 e.g., through information management component 324
  • operator-machine interface(s) 330 can enable configuration of privacy criteria 362 , or associated set of rules. It is noted that while privacy criteria 362 is illustrated as separate from collection logic 358 , such criteria can be retained within collection logic 358 .
  • selection component 408 enables configuration of privacy criteria.
  • components that are part of information management component 324 can exchange information, e.g., data or signaling, via a bus 418 or any other information exchange conduit, protocol.
  • Bus 418 can be embodied in at least one of a memory bus, a system bus, an address bus, or a message bus.
  • analysis component 504 can correlate performance data with information available on the environment in which vehicle 110 operates.
  • data on vehicle's velocity and location can be correlated, e.g., compared, with speed limits for a road currently traveled to determine if the vehicle is speeding and thus establish a current or nearly current insurance benefit rate or a discount thereof.
  • analysis performance can contrast data on mechanical performance with standardized or expected parameters for various parts of the vehicle (in particular its make, model, etc.) to establish operational safety or assess risk of malfunction and thus determine a current or nearly current insurance benefit rate or discount thereof.
  • analysis component 504 can retrieve information related to operational environment of vehicle 110 from one or more of third-party network(s) 150 ; for instance, analysis component 504 can retrieve statistics on accident occurrence or criminality indices along a current or selected route.
  • analysis component 504 can aggregate received performance record(s), which can be retained in record storage 520 , which is substantially the same memory element as record storage 398 , to compose incentive offer(s) 376 , e.g., establish a real-time or nearly real-time insurance benefit rate or discount thereof, or determine promotional content(s), e.g., content(s) 377 , to incentivize operator of vehicle 110 .
  • analysis component 504 can compute statistics (e.g., mean, standard deviation and other momenta, etc.), extract patterns; identify data clusters, etc.
  • Empirical, customary rule(s) of operation of vehicle 110 e.g., the norm of operation, can be applied to aggregated data to determine magnitude of changes, e.g., increment or decrement, in insurance benefit(s) rates.
  • Consideration of norm of operation rather than lawful operation of vehicle 110 can result in unchanged insurance benefit rates or unchanged incentive offer(s) in case a fine for a traffic law violation is assessed to an operator of vehicle 110 , and the operator pays such fine, if the violation occurred while operator complied with the norm of operation.
  • an operator driving at 67 MPH in a 65 MPH zone may be complying with the norm and thus service provider 120 may not consider such offense detrimental to insurance cost(s) or prospective incentive offer(s).
  • service provider platform 120 Upon or after generation of incentive offer(s) 376 , service provider platform 120 , e.g., through benefit generation component 394 , can deliver incentive offer(s) 376 via access network(s) (NTWK(s)) 370 , which can be embodied in the example communication framework illustrated in FIG. 2 , and can comprise internet infrastructure (e.g., broadband remote access server(s) (B-RAS(s)), digital subscriber line access multiplexer (DSLAM) . . . ) and related connectivity.
  • B-RAS(s) broadband remote access server(s)
  • DSLAM digital subscriber line access multiplexer
  • Election management component 320 via information management component 324 , for example, can receive incentive offer(s) 376 and relay such offer(s), or content(s) thereof, to a benefit display component 340 , which is part of at least one of operator-machine interface(s) 330 .
  • information e.g., data such as record(s) 374 , incentive offer(s) 376 , content(s) 377 , or signaling 378 , can be exchanged amongst election component 320 and access network(s) 370 , and access network(s) 370 and service provider platform 120 , via, respectively, interfaces 372 and 382 .
  • Each of such interfaces 372 and 382 can include at least one of I/O interface components (e.g., modem(s), gateway(s), router(s), server(s) . . . ), wired or wireless links, or the like.
  • Access network(s) 370 also can exchange information (e.g., data, advertisement, signaling, record(s) 374 , incentive offer(s) 376 , signaling 378 . . . ) via interface 384 , which can include at least one of I/O interface components (e.g., modem(s), gateway(s), router(s), server(s) . . . ), wired or wireless links, or the like.
  • Received operator's input can be a specific election, or an indication thereof, of one or more of the received incentive offer(s) 376 , or content(s) thereof.
  • the specific election can include an indication of at least one of scope of supplied performance records or scope and source of content received as part of an elected incentive offer; such indication customizes incentive offer(s) 376 from the perspective of the operator of vehicle 110 .
  • Source can include service provider platform 120 or third-party network(s) 150 .
  • information management component 324 can commit, within privacy criteria 362 , the indication of content(s), and scope and source(s) thereof, authorized to be received as part of the elected incentive offer.
  • the specific election can be conveyed to election component 320 which can relay the election to service provide platform 120 , via access network(s) 370 , as part of signaling 378 . After an election to accept an incentive offer and related insurance benefit plan or content(s), the election can be revoked at substantially any or any time.
  • Benefit display component 340 also can render content(s) 377 associated with an elected incentive offer.
  • benefit generation component 394 can effect term(s) of a particular election of incentive offer(s) 376 .
  • benefit generation component 394 can update an insurance benefit policy to reflect discount(s), or increased or decreased coverage and associated revised insurance benefit rate(s); bill a beneficiary in accordance with updated policy; issue incentive(s) and related content, such as advertisement or other promotional material(s), educational material(s), coupon(s), service credit(s).
  • benefit generation component 394 configure one or more of third-party network(s) 150 to direct such network(s) to produce at least one of a portion of incentive(s) (e.g., coupon(s), service credit) or advertisement(s) associated with the particular election of incentive offer(s) 376 .
  • benefit generation component 394 can convey a directive to information management component 324 to supply at least a portion of performance information, e.g., record(s) 374 , to specific third-part network(s) 150 .
  • issuance component 508 can configure the one or more third-party network(s) 150 or can convey such a directive to information management component 324 .
  • benefit generation component 394 can authenticate predetermined third-party network(s) 150 with information management component 324 in order for such predetermined third-party network(s) 150 to access at least a portion of performance record(s) 352 .
  • anti-fraud component 516 can implement such authentication in accordance, for example, with one or more conventional authentication mechanisms.
  • information management component 324 can administer rendering of incentive(s) or related content(s), e.g., 377 , received in accordance with terms of an accepted incentive offer.
  • information management component 324 can compute a safety metric for a current or substantially current operation condition of vehicle 110 and determine, based at least in part on predefined safety threshold(s), for example, a suitable operation condition to render at least one of incentive(s) or related content(s).
  • computation of the safety metric indicated supra can include data on operation of the vehicle and one or more safety factors, which can be gleaned from the performance data.
  • Format or packaging of the at least one of incentive offer(s) 376 or related content(s) 377 can be dictated, at least in part, by the suitable operation condition in order to supply sufficient information to convey commercial aspect(s) and not distract operator (e.g., driver of vehicle 110 ) excessively.
  • the packaging can include a persistence time interval to render content(s) 377 .
  • content(s) 377 related to an accepted incentive offer can be rendered to an operator of a car when the car is stopped at a red traffic light; a condition that can be determined through data collected by camera(s) and speedometer reading(s); such data and reading(s) captured, for example, by one or more of performance collection component(s) 310 .
  • the rendered content(s) can be adjusted to a typical time interval that a red traffic light remains actuated.
  • content(s) such as a set of rich advertisement can be rendered when the vehicle that hosts election component 320 is parked but while the operator is still occupying the vehicle.
  • information management component 324 can customize the rendered advertisement: If the vehicle is parked near a retailer for which advertisement is available as part of an accepted incentive offer, the rendered advertisement can be linked to merchandise offered for sale at the retailer. Such customization is part of targeted advertisement provided by aspects of the subject disclosure.
  • delivery component 412 can format or package received incentive offer(s) 376 and content(s) 377 associated with an elected incentive offer as described supra.
  • packing component 512 within benefit generation component 394 can format or package content(s), e.g., 377 , associated with incentive offers 376 as described supra.
  • Delivery component 412 also can process input received from an operator of vehicle 110 via benefit display component 340 , and can compute safety metrics hereinbefore.
  • delivery component 412 can tailor incentive offer(s) or related content in accordance at least in part with available rendering resources or medium, e.g., display screen in a mobile handset or a head-up display in vehicle 110 .
  • delivery component 412 can control projection of the incentive offer(s) 376 or related content, such as advertisement, wherein benefit display component 340 embodies at least in part the head-up display.
  • delivery component 412 can exploit various elemental indicia such as light sources that span a spectrum of wavelengths (e.g., green, red, yellow . . . ) to convey available discount for insurance benefit(s) in an incentive offer; a coupon value; or available promotional material from a specific retailer or service provider.
  • light sources can be part of benefit display component 340 and can be embodied in light emitting diodes (LEDs).
  • information management component 324 also can select portion(s) of generated record(s) and retain such portion(s) in sampling storage 356 in order to preserve snapshot(s) of historical data on operation that can be utilized to leverage historical performance in a determination of one or more real-time or nearly real-time insurance benefit(s) or incentive offer(s) related therewith.
  • performance records of different longevity, retained in sampling storage 356 can be correlated to determine if specific aspects of operation of vehicle 110 , such as observance of posted speed limits is a persistent feature along historical records of operation, or if it is a singular performance aspect directed to eliciting incentive offer(s) with associated low insurance benefit(s) rates.
  • anti-fraud component 516 can download, e.g., request and retrieve upon acknowledgement of the request, historical performance record(s) retained in sampling storage 356 , and determined whether a current, nearly-current, or recent performance is fraudulent and geared towards obtainment of artificially low rates for insurance benefit(s).
  • Anti-fraud component 516 also can establish legitimacy of received performance record(s).
  • Anti-fraud component 516 can exploit one or more software or firmware applications, retained as one or more sets of code instructions in application store 530 , to make determinations on fraud.
  • election component 320 also can include information regulation component 328 , which can control access to performance record(s) 352 —e.g., control of asynchronous delivery of record(s), delivery of record(s) based on schedule, delivery or disclosure of record(s) in response to a request, delivery of record(s) as part of a service.
  • Control can be dictated, at least in part, by a configurable set of regulation rules, stored in memory element 360 ; configuration of such regulation rules can be implemented in a manner similar to configuration of privacy criteria 362 : an operator of vehicle 110 that hosts at least a portion of example system 300 can configure the set of regulation rules.
  • the set of regulation rules enforces access privileges that can be granted to service provider platform 120 or third-party network(s) 150 .
  • information regulation component 328 can control content, such as incentive package(s) or advertisement(s), associated with elected incentivized time-dependent, e.g., real-time or nearly real-time, insurance benefit(s).
  • content of memory 350 can be transferred amongst vehicles.
  • a dedicated device, and associated components and circuitry embodies performance collection component(s) 310 , election component 320 , and operator-machine interface(s) 330
  • the device can be removed from a first vehicle (e.g., family car) and functionally fitted in a second vehicle (e.g., a rental car); the fitting can be enabled by an interface such as a Universal Serial Bus (USB) port and associated connector(s).
  • USB Universal Serial Bus
  • memory 350 can be a removable memory card, and so the knowledge stored therein can be realized in a vehicle through functional fitting of the memory card; in such scenario, election component 320 , and components therein, can be retained within the memory card as a set of computer- or device-executable code instructions.
  • content of memory 350 can be uploaded to a mobile device, through a suitable interface (e.g., USB port and connector(s), infra-red (IR) interface), and downloaded to a disparate vehicle from the mobile device.
  • a suitable interface e.g., USB port and connector(s), infra-red (IR) interface
  • benefit generation component 394 is local to the vehicle for which performance information is generated. To generate incentive offer(s), as described supra, benefit generation component 394 exploits generation criteria 397 and methodologies or algorithms, retained in application store 530 , within memory 350 .
  • Terms of accepted incentive offer(s) can be communicated, via access network(s) 370 , to at least one of service provider platform 120 or third-party network(s) 150 in order to effect such terms—e.g., update an insurance benefit policy to reflect discount(s), or increased coverage and associated revised insurance benefit rate(s); bill beneficiary in accordance with updated policy; issue content, such as advertisement or other promotional material(s), educational material(s), coupon(s), service credit(s), in accordance with accepted incentive offer(s).
  • Generation of incentive offer(s) on board of an operated vehicle can reduce signaling over access network(s) 370 and thus improve real-time or nearly real-time aspects of incentive offer(s).
  • efficiencies related to election of incentive offer(s) can be realized in areas with unreliable or unavailable communication service through access network(s) 370 .
  • generation of incentive offer(s) can proceed even when access network(s) 370 experiences outage due to poor radio link quality, network congestion, or malfunctioning of a main cellular tower or other type of access point, e.g., a metropolitan Wi-Fi AP.
  • accepted term(s) of incentive offer(s) can be logically retained in memory 350 and conveyed to at least one of service provider platform 120 or third-party network(s) 150 upon or subsequent to communication service recovery.
  • FIG. 7 is a block diagram of an example system 700 that enables monetization of collected information on operation of an insured vehicle (e.g., vehicle 110 ) in accordance with aspects described herein.
  • the subject example system 700 also can be employed to monetize operation information associated with performance of most any or any insured entity, such as a house insured under a home insurance policy or benefit; a person with health insurance coverage or personal injury coverage, or life insurance; or industrial equipment.
  • Financial compensation that originates from monetization of delivery of information on operation of the insured vehicle, or any insured entity for which performance data is available, can be employed to subsidize incentive offers described supra.
  • monetization can be accomplished through sale(s) of collected information on operation of the insured entity, e.g., vehicle 110 , to third-party network(s) 150 .
  • service provider platform 120 can supply information on operation of the insured vehicle, or most any insured entity, to a third-party network within the set of third-party network(s) 150 and monetize such information through commercialization of advertisement resource associated with the insured entity.
  • benefit generation component 394 can deliver, or supply, the information on operation of the insured vehicle, or most any insured entity.
  • access component 392 also can deliver, or supply, the information on operation of the insured vehicle.
  • the third-party network can purchase advertisement resources allocated by service provider platform to deliver advertisement content(s) and promotional material(s). Financial compensation associated with purchase of the advertisement resources affords acquisition of the information on operation of the vehicle.
  • Monetization of information on operation of the insured vehicle, or any other insurance entity is advantageous to third-party network(s) in view of at least the following.
  • the supplied information on operation of the insured entity can be highly segmented, since service provider platform can select particular groups of one or more insured entities (e.g., vehicles) and associated devices or human agents (e.g., occupant(s) of the insured vehicles).
  • advertisement can be highly customized and thus the third-party network or the service provider platform can push advertisement content(s) and promotional material(s) with enhanced likelihood of engagement, e.g., purchase, offline or online store visit(s), subscription to service, adoption of membership in service club(s), such as a wholesale purchase, and so forth.
  • a transaction component 710 can commit an agreement to supply at least a portion of collected or available information on operation of the vehicle in exchange of payment or compensation from a buyer, e.g., one or more of third-party network(s) 150 , of the information.
  • a buyer e.g., one or more of third-party network(s) 150
  • transaction component 710 can retain the agreement terms in memory 396 , and install or configure a firmware of software application that implements the term(s) of the agreement.
  • the term(s) of the agreement can regulate at least one of the scope of information associated with operation of an insured entity, e.g., the insured vehicle, that is supplied to the third-party network or any other component that consumes the information on operation of the insured vehicle; delivery aspects, such as delivery schedules, delivery events, etc.; duration of the agreement, termination clause(s), or the like.
  • the term(s) of the agreement also can determine one or more allocations of resources for advertisement in at least one of the insured vehicle or a device linked thereto.
  • transaction component 710 can allocate resources for advertisement of a product or service in the insured vehicle or a device linked thereto in accordance with the term(s) of the agreement.
  • transaction component 710 can execute, at least in part, the installed or configured firmware or software application(s) that implements the term(s) of the agreement. Moreover, the term(s) of the agreement also regulate billing feature(s) of the agreement, wherein the billing feature(s) include at least one of billing model(s), billing cycles, promotional term(s), or the like.
  • billing component 720 can effect the billing feature(s) of a committed agreement. Billing component 720 can receive the financial compensation in accordance with the billing feature(s) of the committed agreement, or as regulated at least in part by such agreement.
  • Transaction component 710 can configure and retain such features in billing data store 730 , which also includes current and historical billing records for a group of third-party networks that have acquired access to a supply of information on operation of the insured entity, e.g., the insured vehicle.
  • billing component 720 can implement various billing models based on response of a beneficiary, e.g., an operator of an insured vehicle, or an agent (human or otherwise) associated therewith to an advertisement impression, e.g., rendered content that composes the advertisement.
  • the advertisement impression can be delivered to a vehicle through access network(s) 370 as part of content(s) 377 , as described supra, and the response of the beneficiary or the agent associated therewith, can be received as part of signaling 378 , which can be produced by a component, such as benefit display component 340 .
  • a cost-per-click (CPC) model can be implemented.
  • Click(s), gesture(s), or action(s) in response to the advertisement impression can incur predetermined charges that are assessed to the third-party network that receives the performance information.
  • the advertisement impression can be rendered in an on-board vehicle display that allows input (e.g., via touch screen) from an operator or an occupant of the vehicle to respond to the advertisement through a click, a gesture, or an action (e.g., purchase of an advertised product).
  • transaction component 710 can process, at least in part, the action. For instance, purchases can be enabled through billing information (e.g., credit card record(s)) of a beneficiary associated with the insured entity (e.g., vehicle 110 ) in which the action occurs.
  • billing information e.g., credit card record(s)
  • benefit generation component 394 can generate at least part of content associated with advertisement that is pushed to an insured entity, or a component therein (e.g., benefit display component 340 ), as part of monetization of information on operation of the insured entity. Accordingly, benefit generation component 394 and billing component 720 can form an advertisement platform. Advertisement content also can be generated at the third-party network that consumes (e.g., purchases) the information on operation of an insured entity; and advertisement platform that resides within such third-party network can generated the advertisement content.
  • advertisement content generated by benefit generation component 394 or an advertisement platform in the third-party network(s) can comprise a set of incentive offers associated with the insurance benefit for the vehicle based in part on at least one of the information on operation of the vehicle and available historical information on operation of the vehicle.
  • service provider platform via, for example, transaction component 710 , can adjust the scope of supplied information in accordance with configurable privacy term(s) established by a beneficiary of an insured entity.
  • privacy term(s) can be retained in beneficiary database 740 , and can complement or supplement privacy settings (e.g., privacy criteria 362 ) configured by the beneficiary to control the scope of performance information, e.g., record(s) 374 , that are provided to service provider platform 120 or third-party network(s) 150 .
  • Privacy term(s) and the privacy settings (e.g., privacy criteria 362 ) can be the same or substantially the same.
  • FIGS. 8-12 methodologies can be implemented in accordance with the disclosed subject matter, as illustrated in FIGS. 8-12 . While, for purposes of simplicity of explanation, the methodologies might be shown and described as a series of blocks, it is to be understood and appreciated that the disclosed aspects are not limited by the number or order of blocks, as some blocks may occur in different orders and/or at substantially the same time with other blocks from what is depicted and described herein. Moreover, not all illustrated and/or described blocks may be required to implement the methodologies described hereinafter. It is to be appreciated that the functionality associated with the blocks may be implemented by software, hardware, a combination thereof or any other suitable means (e.g. device, system, process, component).
  • One example implementation of such functionality can include execution of code instructions retained in a computer-readable medium or a device-readable medium by a processor. Additionally, it should be further appreciated that the methodologies disclosed hereinafter and throughout this specification are capable of being stored on an article of manufacture to facilitate transporting and transferring such methodologies to various devices. Those skilled in the art will understand and appreciate that a methodology could alternatively be represented as a series of interrelated states or events, such as in a state diagram.
  • FIG. 8 is a flowchart of an example method 800 for incentivizing adoption of time-dependent insurance benefit(s) according to aspects described herein.
  • performance information is collected. Collecting the performance information can include retaining it in a memory.
  • Performance information can include operation data of an entity that is insured, or data related to an environment in which the entity operates.
  • collecting performance information can proceed in accordance with predefined collection logic (e.g., collection logic 358 ), which can dictate, at least in part, scope of performance data to be gathered.
  • collection logic e.g., collection logic 358
  • collection logic can be advantageous to preserve battery life-span of a mobile device or other performance collection component(s), e.g., 310 , that can collect the performance information.
  • a portion of the collected performance information can be supplied based at least in part on predetermined criteria.
  • the predetermined criteria can be configured by an insurance beneficiary and thus can represent privacy criteria; the predetermined criteria can be dependent on an intended recipient of the performance information to be supplied. For example, a first set of criteria can be established for a provider of the insurance benefit(s), whereas a second set of criteria can be established for a law enforcement agency or a third-party network.
  • a disclosure of a set of optional incentives can be received, at least one of the incentives in the set of optional incentives is generated based at least in part on the supplied performance information.
  • Content can include at least one of notification of an elected insurance benefit and feature(s) thereof (rate, acquired insurance coverage, insured entities, etc.); educational material related to insured entity, such as defensive driving tips if case of car insurance, benefits of exercising for blood glucose management in case of health insurance; an advertisement; a merchandise coupon; a service voucher (a pass-code to prepaid wireless minutes, a pass-code to media content downloadable from a website, etc) or a service credit and notification thereof; or the like.
  • notification of an elected insurance benefit and feature(s) thereof rate, acquired insurance coverage, insured entities, etc.
  • educational material related to insured entity such as defensive driving tips if case of car insurance, benefits of exercising for blood glucose management in case of health insurance
  • an advertisement a merchandise coupon
  • a service voucher a pass-code to prepaid wireless minutes, a pass-code to media content downloadable from a website, etc
  • service credit and notification thereof or the like.
  • FIG. 9 is a flowchart of an example method 900 for issuing a set of incentive offer(s) to engage time-dependent insurance benefit(s) according to aspects described herein.
  • performance information is received.
  • Metadata related to the performance information e.g., data that identifies data that comprises the performance information can be received. Metadata can include identity of an operator for which the incentive offer(s) is directed, timestamps, incentive preferences, etc.
  • Receiving performance information, and associated metadata can include storing the performance information or the metadata.
  • the period of performance can be adaptive, e.g., autonomously or automatically adjustable, and linked to the performance information that is collected; for instance, if velocity of a vehicle is included in the performance information and vehicle acceleration is zero or substantially zero, then performance period can be relatively long and adjusted, e.g., reduced, when acceleration becomes measurably different from zero.
  • a set of incentive offers related to time-dependent insurance benefit(s) is generated based at least in part on the received performance information.
  • the set of incentive offers can include the optional incentives discussed supra in connection with example method 700 .
  • incentive offer(s) can include provision of insurance benefit(s) at deeply discounted rates, e.g., almost free-of-charge, in exchange for rich, highly detailed performance information.
  • the set of incentive offers is conveyed.
  • the set of incentive offers is to be updated or a new set of incentive offers is to be generated. Determination can be based at least in part on the received performance information and historical performance information available to a functional element that enacts the subject example block or method. As an illustration, if received performance information displays substantially the same correlations as available historical data, e.g., a moving average of velocity remains unchanged, then, the set of incentive offers need not be updated. Determination also can be based at least in part on signaling received in response to the delivered set of incentive offer(s); in particular, if an indication to revoke delivery of incentive offer(s) is received, no further set of incentive offer(s) are updated or generated. If outcome of 940 is affirmative, flow is directed to act 910 . Conversely, the subject example method can be terminated.
  • FIG. 10 displays a flowchart of an example method 1000 for providing operation record(s) according to aspects disclosed herein.
  • a set of criteria to regulate access to a record of operation e.g., record(s) 374
  • the set of criteria is configurable and can be issued asynchronously; an operator of a vehicle that is insured by the service provider can configure the set of criteria.
  • An operator-machine interface can enable configuration of the set of criteria by receiving information that compose one or more rules that define the set of criteria, and retaining the information in a computer-readable medium (e.g., memory 350 ).
  • the set of criteria can establish selective masking of information on operation (e.g., information 134 or record(s) 374 ) by determining a group of entities that can access, or is allowed access to, the record of performance (e.g., record(s) 374 ).
  • a service provider e.g., insurance carrier
  • a law enforcement agency e.g., police
  • a parent of a teenage driver can receive any record(s) of performance related to a vehicle operated by the teenage driver.
  • the record of performance for a specific performance period is generated.
  • the performance period can be adaptive and adjusted according to the particular record of performance.
  • access to the record of operation is regulated based at least in part on at least one of the set of criteria, the service provider, or the third-party network.
  • access regulation at least part of the records is delivered or withheld.
  • FIG. 11 is a flowchart of an example method 1100 for monetizing operation information of an insured entity in accordance with aspects described herein.
  • information on operation of an insured entity is collected.
  • the insured entity can be a motor vehicle, a facility (e.g., house, business location), a living agent, such as a person or an animal, or the like.
  • an agreement to supply at least a portion of the collected information in exchange for a financial compensation is committed. Committing the agreement can include retaining terms of the agreement in a memory, and installing or configuring firmware or software application(s) (or set of devices or set of code instructions that compose such application(s)) that implements the term(s) of the agreement.
  • committing the agreement also can include delivering the term(s) of the agreement to a party, e.g., third-party network component, and an indication that the agreement is current and in force.
  • a party e.g., third-party network component
  • at least the portion of the collected information is conveyed in accordance with the committed agreement.
  • the recipient of at least the portion of information that is conveyed can be the party, e.g., third-party network component, that consumes the information.
  • the financial compensation is secured based on at least the portion of the collected information that is conveyed or the committed agreement.
  • securing the financial compensation can include generating billing records for the information that is supplied to the party that consumes such information, and delivering billing invoices to such party.
  • FIG. 12 displays a flowchart of an example method 1200 for monetizing available performance information according to aspects described herein. While illustrated with respect to operation of a vehicle and information associated with such operation, the subject example method 1200 can be effected for other entities, such as a person, a house, a business, or the like. In addition, the subject example method 1200 is an example of method 1100 . One or more blocks of example method 1200 can be implemented as part of example method 1100 .
  • information on operation, or performance, of a vehicle is accessed. The information can be raw time-dependent intrinsic data or extrinsic data (see description of FIG.
  • Accessing the information on operation can include receiving performance data, or records; in an example scenario, access component 392 receives the information on operation.
  • an advertisement platform (which can be embodied, for example, in benefit generation component 394 and billing component 720 ).
  • the advertisement platform can be part of a service provider (e.g., service provider platform 120 ) that furnishes insurance benefit(s) for the vehicle for which operation information is accessed.
  • the advertisement platform also can be part of a third-party network (e.g., 150 ) that is functionally coupled to the service provider.
  • Advertisement of the product can be tailored to aspects of the accessed information on operation, which can reveal contextual information related to an operator or occupant(s) of the vehicle. Thus, such advertisement and the product itself can be accurately targeted to the operator or occupant(s) or focused on the vehicle.
  • the device can be integrated in the vehicle, e.g., navigation system, maneuvering system, head-up display, or the like. In addition or in the alternative, the device can be most any add-one device in the vehicle, such as a satellite-based navigation unit, or a most any electronic appliance, e.g., mobile device(s) utilized by an operator or occupant of the vehicle.
  • the device integrated to the vehicle, the add-on device, or the electronic appliance can render information to an end user (e.g., the operator or occupant of the vehicle) via, for example, a display screen, a loud speaker or any other one or more components that can supply sound, images, token(s), or stimuli that deliver information to the end user.
  • the resources that are allocated for advertisement can include radio channel(s) or radio airtime in which advertisement can be delivered.
  • resources can include at least one of (i) space in on-board displays in the vehicle, such as display of a navigation unit, a dashboard, section(s) of windshield, portion(s) of steering wheel, or a dedicated device, and associated component(s) and circuitry, that manages collection of operation information; or (ii) space in display(s) in the device linked, functionally or otherwise, to the vehicle.
  • a device that is linked to the person, and in which resources for advertisement are allocated can be a wearable device or portable device, such as a helmet-mounted display, a head-mounted display (e.g., glasses), a pedometer; a mobile telephone, a media player, or the like.
  • a wearable device or portable device such as a helmet-mounted display, a head-mounted display (e.g., glasses), a pedometer; a mobile telephone, a media player, or the like.
  • the device that is linked to the house, and in which resources for advertisement are allocated can be most any or any electronic or electric appliance that operates in the house and can render information to an end user via, for example, a display screen, a loud speaker or any other mechanism or component that can convey sound, images, or other stimuli that convey information.
  • the device can be a television set, a radio tuner set, a wireline telephone device with display component(s) (e.g., a display screen), or the like.
  • payment is collected from the advertisement platform in exchange for the allocation of resources for advertisement of the product in at least one of the vehicle or device linked thereto.
  • collecting payment includes utilizing one or more models of payment based on feedback or response from an operator or occupant of the vehicle to the advertisement of the product.
  • a cost-per-click (CPC) model can be implemented in which predetermined charges are assessed to the advertisement platform if advertisement is rendered in an on-board vehicle display that allows input (e.g., via touch screen) from an operator or occupant of the vehicle, and an occupant of the vehicle responds to the advertisement through a click or an action.
  • CPC cost-per-click
  • CPG cost-per-gesture
  • CPA cost-per-action
  • a service provider that affords insurance benefit(s) for the vehicle can employ at least one of the payment or compensation from the advertisement platform to subsidize insurance benefit(s), e.g., insurance coverage, for the vehicle and thus incentivize specific types of insurance benefit(s), such as real-time or nearly real-time insurance coverage plans.
  • the service provider e.g., insurance carrier
  • such payment or compensation can mitigate financial risk(s) associated with provision of insurance benefit(s) since the payment or the compensation is a source of revenue that originates from operation of the vehicle, which is the source of risk(s) associated with insurance coverage.
  • At least one of payment or compensation can subsidize at least part of cost of specific service(s) utilized by operator(s) or occupant(s) of the vehicle for which information on operation, or performance, of the vehicle is accessed; the specific service(s) can include wireless service, vehicle maintenance or repairs, or the like.
  • subsidies can render the specific service(s) free-of charge through rebates or service vouchers:
  • insurance carrier or advertisement platform can liquidate at least a portion of cost of delivering mobile instant messages from within the vehicle for which information on operation is accessed.
  • insurance carrier can pay (e.g., reimburse) expense of routine oil and lube changes for the vehicle for which information on operation is accessed.
  • FIG. 13 there is illustrated a block diagram of a computer environment that can execute or implement the disclosed architecture or portion(s) thereof.
  • FIG. 13 and the following discussion are intended to provide a brief, general description of a suitable computing environment 1300 in which the various aspects can be implemented. While the one or more aspects have been described above in the general context of computer-executable instructions that may run on one or more computers, those skilled in the art will recognize that the various aspects also can be implemented in combination with other program modules and/or as a combination of hardware and software.
  • the illustrated aspects may also be practiced in distributed computing environments where certain tasks are performed by remote processing devices that are linked through a communications network.
  • program modules can be located in both local and remote memory storage devices.
  • Computer-readable media can be any available media that can be accessed by the computer and includes both volatile and nonvolatile media, removable and non-removable media.
  • Computer-readable media can comprise computer storage media and communication media.
  • Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data.
  • Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital video disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by the computer.
  • Communication media typically embodies computer-readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism, and includes any information delivery media.
  • modulated data signal means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal.
  • communication media includes wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media. Combinations of the any of the above should also be included within the scope of computer-readable media.
  • the exemplary environment 1300 for implementing various aspects includes a computer 1302 , the computer 1302 including a processing unit 1304 , a system memory 1306 and a system bus 1308 .
  • the system bus 1308 couples system components including, but not limited to, the system memory 1306 to the processing unit 1304 .
  • the processing unit 1304 can be any of various commercially available processors. Dual microprocessors and other multi-processor architectures may also be employed as the processing unit 1304 .
  • the system bus 1308 can be any of several types of bus structure that may further interconnect to a memory bus (with or without a memory controller), a peripheral bus, and a local bus using any of a variety of commercially available bus architectures.
  • the system memory 1306 includes read-only memory (ROM) 1310 and random access memory (RAM) 1312 .
  • ROM read-only memory
  • RAM random access memory
  • a basic input/output system (BIOS) is stored in a non-volatile memory 1310 such as ROM, EPROM, EEPROM, which BIOS contains the basic routines that help to transfer information between elements within the computer 1302 , such as during start-up.
  • the RAM 1312 can also include a high-speed RAM such as static RAM for caching data.
  • the drives and their associated computer-readable media provide nonvolatile storage of data, data structures, computer-executable instructions, and so forth.
  • the drives and media accommodate the storage of any data in a suitable digital format.
  • computer-readable media refers to a HDD, a removable magnetic diskette, and a removable optical media such as a CD or DVD, it should be appreciated by those skilled in the art that other types of media which are readable by a computer, such as zip drives, magnetic cassettes, flash memory cards, cartridges, and the like, may also be used in the exemplary operating environment, and further, that any such media may contain computer-executable instructions for performing the methods disclosed herein.
  • a number of program modules can be stored in the drives and RAM 1312 , including an operating system 1330 , one or more application programs 1332 , other program modules 1334 and program data 1336 . All or portions of the operating system, applications, modules, and/or data can also be cached in the RAM 1312 . It is appreciated that the various aspects can be implemented with various commercially available operating systems or combinations of operating systems.
  • a user can enter commands and information into the computer 1302 through one or more wired/wireless input devices, e.g., a keyboard 1338 and a pointing device, such as a mouse 1340 .
  • Other input devices may include a microphone, an IR remote control, a joystick, a game pad, a stylus pen, touch screen, or the like.
  • These and other input devices are often connected to the processing unit 1304 through an input device interface 1342 that is coupled to the system bus 1308 , but can be connected by other interfaces, such as a parallel port, an IEEE 1394 serial port, a game port, a USB port, an IR interface, etc.
  • a monitor 1344 or other type of display device is also connected to the system bus 1308 through an interface, such as a video adapter 1346 .
  • a computer typically includes other peripheral output devices (not shown), such as speakers, printers, etc.
  • the computer 1302 may operate in a networked environment using logical connections through wired and/or wireless communications to one or more remote computers, such as a remote computer(s) 1348 .
  • the remote computer(s) 1348 can be a workstation, a server computer, a router, a personal computer, portable computer, microprocessor-based entertainment appliance, a peer device or other common network node, and typically includes many or all of the elements described relative to the computer 1302 , although, for purposes of brevity, only a memory/storage device 1350 is illustrated.
  • the logical connections depicted include wired/wireless connectivity to a local area network (LAN) 1352 and/or larger networks, e.g., a wide area network (WAN) 1354 .
  • LAN and WAN networking environments are commonplace in offices and companies, and facilitate enterprise-wide computer networks, such as intranets, all of which may connect to a global communications network, e.g., the Internet.
  • the computer 1302 When used in a LAN networking environment, the computer 1302 is connected to the local network 1352 through a wired and/or wireless communication network interface or adapter 1356 .
  • the adaptor 1356 may facilitate wired or wireless communication to the LAN 1352 , which may also include a wireless access point disposed thereon for communicating with the wireless adaptor 1356 .
  • the computer 1302 is operable to communicate with any wireless devices or entities operatively disposed in wireless communication, e.g., a printer, scanner, desktop and/or portable computer, portable data assistant, communications satellite, any piece of equipment or location associated with a wirelessly detectable tag (e.g., a kiosk, news stand), and telephone.
  • any wireless devices or entities operatively disposed in wireless communication e.g., a printer, scanner, desktop and/or portable computer, portable data assistant, communications satellite, any piece of equipment or location associated with a wirelessly detectable tag (e.g., a kiosk, news stand), and telephone.
  • the communication can be a predefined structure as with a conventional network or simply an ad hoc communication between at least two devices.
  • Wi-Fi Wireless Fidelity
  • Wi-Fi is a wireless technology similar to that used in a cell phone that enables such devices, e.g., computers, to send and receive data indoors and out; anywhere within the range of a base station.
  • Wi-Fi networks use radio technologies called IEEE 802.11(a, b, g, etc.) to provide secure, reliable, fast wireless connectivity.
  • IEEE 802.11(a, b, g, etc.) to provide secure, reliable, fast wireless connectivity.
  • a Wi-Fi network can be used to connect computers to each other, to the Internet, and to wired networks (which use IEEE 802.3 or Ethernet).
  • Wi-Fi networks operate in the unlicensed 2.4 and 5 GHz radio bands, at an 11 Mbps (802.11a) or 54 Mbps (802.11b) data rate, for example, or with products that contain both bands (dual band), so the networks can provide real-world performance similar to the basic 10BaseT wired Ethernet networks used in many offices.
  • the system 1400 includes one or more client(s) 1402 .
  • the client(s) 1402 can be hardware and/or software (e.g., threads, processes, computing devices).
  • the client(s) 1402 can house cookie(s) and/or associated contextual information by employing the various aspects, for example.
  • the system 1400 also includes one or more server(s) 1404 .
  • the server(s) 1404 can also be hardware and/or software (e.g., threads, processes, computing devices).
  • the servers 1404 can house threads to perform transformations by employing the various aspects, for example.
  • One possible communication between a client 1402 and a server 1404 can be in the form of a data packet adapted to be transmitted between two or more computer processes.
  • the data packet may include a cookie and/or associated contextual information, for example.
  • the system 1400 includes a communication framework 1406 (e.g., a global communication network such as the Internet) that can be employed to facilitate communications between the client(s) 1402 and the server(s) 1404 .
  • a communication framework 1406 e.g., a global communication network such as the Internet
  • Communications can be facilitated through a wired (including optical fiber) and/or wireless technology.
  • the client(s) 1402 are operatively connected to one or more client data store(s) 1408 that can be employed to store information local to the client(s) 1402 (e.g., cookie(s) and/or associated contextual information).
  • the server(s) 1404 are operatively connected to one or more server data store(s) 1410 that can be employed to store information local to the servers 1404 .
  • the terms (including a reference to a “means”) used to describe such components are intended to correspond, unless otherwise indicated, to any component which performs the specified function of the described component (e.g., a functional equivalent), even though not structurally equivalent to the disclosed structure, which performs the function in the herein illustrated exemplary aspects.
  • the various aspects include a system as well as a computer-readable medium having computer-executable instructions for performing the acts, blocks and/or events of the various methods.
  • the one or more aspects may be implemented as a method, apparatus, or article of manufacture using standard programming and/or engineering techniques to produce software, firmware, hardware, or any combination thereof to control a computer to implement the disclosed aspects.
  • article of manufacture (or alternatively, “computer program product”) as used herein is intended to encompass a computer program accessible from any computer-readable device, carrier, or media.
  • computer readable media can include but are not limited to magnetic storage devices (e.g., hard disk, floppy disk, magnetic strips . . . ), optical disks (e.g., compact disk (CD), digital versatile disk (DVD) . . . ), smart cards, and flash memory devices (e.g., card, stick).
  • a carrier wave can be employed to carry computer-readable electronic data such as those used in transmitting and receiving electronic mail or in accessing a network such as the Internet or a local area network (LAN).
  • LAN local area network

Abstract

System(s) and methods(s) to monetize knowledge of operation characteristics of an insured entity are provided. A provider of insurance benefit(s) supplies knowledge of operation characteristics of an insured entity in exchange for a financial compensation. The knowledge is cumulative and collected from the insured entity and environment in which the entity operates. Financial compensation also can be received through commercialization of resources to expose an agent linked to the insured entity to advertisement in addition to delivery of the knowledge of operation characteristics of the insured entity. The provider of insurance benefit(s) can exploit the financial compensation to afford, at least in part, incentives directed to discounted insurance benefit(s) or subsidized service(s).

Description

    CROSS-REFERENCE TO RELATED APPLICATIONS
  • This application claims priority to U.S. Provisional Application Ser. No. 61/118,400, filed on Nov. 26, 2008, and entitled “INSURANCE OPTIMIZER AND REAL TIME ANALYTICS.” This application is also related to U.S. patent application Ser. No. ______, entitled “INCENTIVIZED ADOPTION OF TIME-DEPENDENT INSURANCE BENEFITS,” and filed on ______. The entireties of the above-captioned applications are incorporated herein by reference.
  • TECHNICAL FIELD
  • The subject disclosure relates generally to insurance benefits and optimization thereof and, more specifically, to monetization of knowledge of operation characteristics of an insured entity.
  • BACKGROUND
  • Insurance benefit(s), or coverage, typically refers to a contract, wherein an insurance carrier agrees to pay for insured financial losses resulting from a specified event. Such insurance benefit(s) is a commodity that many people purchase for peace of mind or because local laws require such coverage. Thus, most people might consider insurance as something that is necessary and, at times, undesirable due to insurance premiums.
  • Rates of insurance benefit(s), such as car insurance rates, are typically determined based on desired benefit(s) and various factors related to the prospective beneficiary that are mostly historical and rather limited. In general, the insurance company determines insurance costs based on insurance models that classify segments of the population in groups sharing similar data, such as data on features of beneficiary (e.g., health condition(s)) or property intended to be insured (car make and model, car color, car features, whether the car is garaged, estimated miles to/from the office, etc.); demographic data (e.g., age group, sex, marital status, educational background, ethnicity); historical data related to intended insurance benefit, which can include driving history as recorded primarily based on an event basis (accident(s), ticket(s) for traffic violation, processed claim(s), etc.); environmental factors related to where the prospective beneficiary lives, which is commonly factored in through ZIP code and available information thereof, recorded appraised value of property, crime rate in the area; and so forth. Members of a segment are not distinguished for assessment of insurability and related cost. While such approach has the advantage of simplicity, it fails to incorporate variance(s) that exist amongst members in same segment, and hence squanders valuable data related to each individual's unique traits that can further affect respective insurance benefit(s) rates. More importantly, in some cases, the segments upon which rates are determined do not adequately represent a prospective beneficiary's potential coverage liability. As an example, with respect to motor vehicle insurance and for a specific segment, a first operator of a car may commute to work using inner-city streets while a second operator of a second car can commute through a highway.
  • In addition, many insurance consumers do not associate any loyalty with a particular insurance carrier, particularly those such as motor vehicle insurers, which commercialize highly commoditized insurance benefits. Thus, to find better coverage, lower rates, or both, a large number of insurance consumers frequently evaluate alternative providers of insurance benefit(s) with respect to the provider currently supplying the insurance benefit(s). As a result, insurance providers, or insurance carriers, aggressively pursue service and benefit(s) differentiation, regardless how marginal, in order to mitigate prevalent consumer attrition.
  • Moreover, most insurance benefit(s), such as motor vehicle insurance coverage, provided by conventional insurance carriers is typically rigidly priced and billed in relatively long time scales, e.g., in monthly or semi-annually periods. Rates occasionally fluctuate, but commonly, fluctuations only occur at the end of such relatively long time scales and can be based on additional factors unrelated directly to features or characteristics of the beneficiary, e.g., an automobile owner. Accordingly, adjustment to insurance benefit(s) and pricing thereof can significantly fail to timely accommodate changes to beneficiary's needs or be supplied at a fair price-point.
  • SUMMARY
  • The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed examples. This summary is not an extensive overview and is intended to neither identify key or critical elements nor delineate the scope of such aspects. Its purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.
  • In accordance with one or more examples and corresponding disclosure thereof, various aspects are described in connection with optimizing insurance from the perspective of both the insurance provider and the insurance purchaser. According to an aspect, real time analytics is utilized to selectively adjust insurance premiums, coverage, and other parameters.
  • One or more embodiments provide system(s) and method(s) to incentivize adoption of time-dependent customized insurance benefit(s). A provider of insurance benefit(s) incentivizes adoption of the insurance benefit(s) in exchange for knowledge of operation characteristics of an insured entity. Incentivation is accomplished at least in part through generation of incentive offer(s) based on available knowledge. Knowledge is associated with an operator of the insured entity rather than with such entity, and the operator can regulate the scope of exchanged knowledge, and received incentive offer(s) and related content. Knowledge is cumulative and collected from insured entity and environment in which the entity operates. Incentive offer(s) can be directed to provision of insurance benefit coverage that is adequate to current or nearly-current operation condition(s); discounted real-time or nearly real-time insurance benefits; or subsidized service(s). Offered incentives can be afforded at least in part through monetization of available knowledge via commercialization thereof or targeted advertisement.
  • In addition, the one or more embodiments or additional or alternative embodiment(s) provide system(s) and method(s) to monetize knowledge of operation characteristics of an insured entity are provided. The provider of insurance benefit(s) supplies knowledge of operation characteristics of an insured entity in exchange for a financial compensation. Financial compensation also can be received through commercialization of resources to expose an agent (e.g., an operator, an occupant, a resident, etc.) linked to the insured entity to advertisement in addition to delivery of the knowledge of operation characteristics of the insured entity. The provider of insurance benefit(s) can exploit the financial compensation to afford, at least in part, incentives directed to discounted insurance benefit(s) or subsidized service(s).
  • While various aspects, features, or advantages of the subject innovation are illustrated with insurance of a motor vehicle, such as an automobile, a motor boat, an airplane, a motorcycle, or the like, and real-time or nearly real-time coverage, it should be appreciated that disclosed aspects, features, or advantages are not so limited and can be exploited in provision of most any or any insurance benefit(s). As an example, insurance benefit(s) can include health insurance coverage, in which case performance information comprises vitals, biometrics, or other physiological data or metrics of an individual as well as data on environment in which the individual lives or works. As another example, the insurance benefit(s) can encompass home insurance coverage, wherein performance information can include data on whether the house doors are locked when no one is present, or property vandalism events affect location of insured house, etc.
  • To the accomplishment of the foregoing and related ends, one or more examples comprise the features hereinafter fully described and particularly pointed out in the claims. The following description and the annexed drawings set forth in detail certain illustrative aspects and are indicative of but a few of the various ways in which the principles of the various aspects may be employed. Other advantages and novel features will become apparent from the following detailed description when considered in conjunction with the drawings and the disclosed examples are intended to include all such aspects and their equivalents.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • FIG. 1 is a high-level representation of a system that promotes adoption of real-time or nearly real-time benefit(s) in accordance with aspects of the subject disclosure.
  • FIG. 2 illustrates an example embodiment of a communication framework that is part of an example system as conveyed in FIG. 1 in accordance with aspects described herein.
  • FIG. 3 displays a block diagram of an example system that enables incentivation of adoption of real-time or nearly real-time insurance benefits in accordance with aspects described herein.
  • FIG. 4 presents an example embodiment of a component that manages data on operation of a vehicle in accordance with aspects described herein.
  • FIG. 5 illustrates an example embodiment of a component that generates insurance benefit(s) and related incentive offer(s) in accordance with aspects of the subject disclosure.
  • FIG. 6 is a block diagram of an example system that allows incentivation of adoption of real-time or nearly real-time insurance benefit(s) in accordance with features disclosed herein.
  • FIG. 7 is a block diagram of an example system that enables monetization of collected operation information of an insured vehicle in accordance with aspects described herein.
  • FIG. 8 is a flowchart of an example method for incentivizing adoption of time-dependent insurance benefit(s) according to aspects described herein.
  • FIG. 9 is a flowchart of an example method for issuing a set of incentive offer(s) to engage time-dependent insurance benefit(s) according to aspects described herein.
  • FIG. 10 displays a flowchart of an example method for providing performance record(s) according to aspects disclosed herein.
  • FIG. 11 is a flowchart of an example method for monetizing operation information of an insured entity in accordance with aspects described herein.
  • FIG. 12 displays a flowchart of an example method for monetizing available performance information according to aspects described herein.
  • FIGS. 13-14 illustrate block diagrams of computing environments that can execute or implement the disclosed aspects.
  • DETAILED DESCRIPTION
  • Various aspects are now described with reference to the drawings. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more aspects. It may be evident, however, that the various aspects may be practiced without these specific details. In other instances, well-known structures and devices are shown in block diagram form in order to facilitate describing these aspects.
  • As used in this application, the terms “component”, “module”, “system”, “platform,” “interface,” and the like are intended to refer to a computer-related entity or an entity related to an operational apparatus with one or more specific functionalities, wherein the computer-related entity and the entity related to the operational apparatus can be either hardware, a combination of hardware and software, software, or software in execution. One or more of such entities are also referred to as “functional elements.” As an example, a component may be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of illustration, both an application running on a server or network controller, and the server or network controller can be a component. One or more components may reside within a process and/or thread of execution and a component may be localized on one computer and/or distributed between two or more computers. Also, these components can execute from various computer readable media having various data structures stored thereon. The components may communicate via local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the Internet with other systems via the signal). As another example, a component can be an apparatus with specific functionality provided by mechanical parts operated by electric or electronic circuitry, which is operated by a software, or firmware application executed by a processor, wherein the processor can be internal or external to the apparatus and executes at least a part of the software or firmware application. As yet another example, a component can be an apparatus that provides specific functionality through electronic components without mechanical parts, the electronic components can include a processor therein to execute software or firmware that provides at least in part the functionality of the electronic components. As further yet another example, interface(s) can include input/output (I/O) components as well as associated processor, application, or Application Programming Interface (API) components. While the foregoing examples are directed to aspects of a component, the exemplified aspects or features also apply to a system, platform, module, interface, and the like.
  • Artificial intelligence based systems (e.g., explicitly and/or implicitly trained classifiers) can be employed in connection with performing inference and/or probabilistic determinations and/or statistical-based determinations as in accordance with one or more aspects as described hereinafter. As used herein, the term “inference” refers generally to the process of reasoning about or inferring states of the system, environment, and/or user from a set of observations as captured through events, sensors, and/or data. Inference can be employed to identify a specific context or action, or can generate a probability distribution over states, for example. The inference can be probabilistic—that is, the computation of a probability distribution over states of interest based on a consideration of data and events. Inference can also refer to techniques employed for composing higher-level events from a set of events and/or data. Such inference results in the construction of new events or actions from a set of observed events and/or stored event data, whether or not the events are correlated in close temporal proximity, and whether the events and data come from one or several event and data sources. Various classification schemes and/or systems (e.g., support vector machines, neural networks, expert systems, Bayesian belief networks, fuzzy logic, data fusion engines . . . ) can be employed in connection with performing automatic and/or inferred action in connection with the disclosed aspects.
  • Various aspects will be presented in terms of systems that may include a number of components, modules, and the like. It is to be understood and appreciated that the various systems may include additional components, modules, etc. and/or may not include all of the components, modules, etc. discussed in connection with the figures. A combination of these approaches may also be used. The various aspects disclosed herein can be performed on electrical devices including devices that utilize touch screen display technologies and/or mouse-and-keyboard type interfaces. Examples of such devices include computers (desktop and mobile), smart phones, personal digital assistants (PDAs), and other electronic devices both wired and wireless.
  • Additionally, in the subject disclosure, the word “exemplary” is used to mean serving as an example, instance, or illustration. Any aspect or design described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other aspects or designs. Rather, use of the word exemplary is intended to present concepts in a concrete fashion.
  • Further, the term “set” as employed herein excludes the empty set. Thus, a “set” in the subject disclosure includes one or more elements or entities. As an illustration, a set of offers includes one or more offers, or a set of devices includes K devices with K a natural number greater than or equal to unity.
  • As described in greater detail below, the subject disclosure provides system(s) and method(s) to incentivize adoption of real-time or nearly real-time customized insurance benefit(s). A provider of insurance benefit(s) incentivizes adoption of the insurance benefit(s) in exchange for knowledge of, or information on, operation characteristics of an insured entity. Knowledge is cumulative and can be collected from the insured entity or an environment in which the entity operates; performance collection components can probe operation conditions and environment of the insured entity. Incentivation can be accomplished at least in part through generation of incentive offer(s) based on available knowledge and exposure of such offer(s) to an operator of the insured entity. Knowledge is associated, e.g., in a one-to-one relationship, with the operator of the insured entity rather than with the entity itself; accordingly, incentive offer(s) can be customized for the operator irrespective of details (e.g., vehicle make or model) of the insured entity. The operator can regulate the volume and detail of knowledge, or information, exchanged with the provider of insurance benefit(s); likewise, the operator can specify the scope, e.g., type and desired features, of received incentive offer(s) and related content, such as advertisement. Incentive offer(s) can be directed to provision of insurance benefit coverage that is adequate to current or nearly current operation condition(s); discounted real-time or nearly real-time insurance benefits; or (iii) subsidized service(s).
  • In addition the subject disclosure provides system(s) and method(s) to monetize knowledge of operation characteristics of an insured entity are provided. The provider of insurance benefit(s) supplies knowledge of operation characteristics of an insured entity in exchange for a financial compensation. Financial compensation also can be received through commercialization of resources to expose an agent (e.g., an operator, an occupant, a resident, etc.) linked to the insured entity to advertisement in addition to delivery of the knowledge of operation characteristics of the insured entity. The provider of insurance benefit(s) can exploit the financial compensation to afford, at least in part, incentives directed to discounted insurance benefit(s) or subsidized service(s).
  • In aspects described herein, operational performance of a vehicle utilized as part of time-dependent insurance benefit(s) not only can reward a safe operator with discounted insurance benefit(s) rates, but it can incentivize the safe operator to maintain a time-dependent insurance benefit policy. Operational performance as exploited herein provides real-time or nearly real-time data on performance, or operation, of a vehicle and the environment on which the vehicle performs, and can be utilized in conjunction with other information to evaluate driving behavior and assess, in real-time or nearly real-time, insurance benefit(s) costs and establish incentives related to such insurance benefit(s).
  • Referring to the drawings, FIG. 1 is a high-level representation of a system 100 that promotes adoption of real-time or nearly real-time insurance benefit(s) in accordance with aspects of the subject disclosure. As indicated supra, the real-time or nearly real-time insurance benefit(s) includes insurance for vehicle 110; however, the real-time benefit(s) can include other benefits, such as health insurance, life insurance, or the like, related to operator(s) or occupant(s) of vehicle 110. Such real-time or nearly real-time insurance benefit(s) are provided (e.g., offered, marketed, issued, administered, or effected) by service provider platform 120.
  • To promote adoption of real-time or nearly real-time insurance benefit(s), vehicle 110 or a device linked thereto supplies service provider platform 120 with information 134 on performance, or operation, of vehicle 110 and, in response, incentive offer(s) 138 is received. Information 134 and incentive offer(s) 138 can be exchanged through a communication framework 130, which can include various communication networks, mobile and non-mobile, and associated functional elements (e.g., component(s), server(s), access point(s) . . . ) that enable communication; communication networks can include personal network(s) (e.g., point-to-point short-range telecommunication network based on, for example, wearable devices); local area network(s); or wide area network(s). Service provider platform 120 or related third-party network(s) 150 can issue incentive offer(s) 138 based at least in part on available information, which can be current or nearly current information or historical information. Service network platform 120 is functionally connected to third-party network(s) 150 via interface 152, which can include I/O interface components (e.g., modem(s), gateway(s), router(s), server(s) . . . ), wired or wireless links, or the like.
  • Information 134 can correspond to performance information of vehicle 110 at an instantaneous position R(t), which is a time-dependent position vector and indicates a trajectory of vehicle 110, and after a period of operation Δt=t−t0, with t a current or substantially current instant and t0 a time at which vehicle operation started. In addition, information 134 can include cumulative performance data, or historical performance data. Performance data can be collected by vehicle 110, or a device functionally coupled thereto, and can include data intrinsic to vehicle 110 or data extrinsic to vehicle 110. Intrinsic data can comprise location (e.g., latitude, longitude, altitude), velocity, acceleration or deceleration (e.g., driven by actuation of brake(s) of vehicle 110), or operational condition(s) (e.g., mileage, maintenance and repair records) of vehicle 110. In the alternative, extrinsic data includes data on operator or occupant(s) of vehicle 110, or data on operation environment 140. As an example, the operation environment 140 can be a highway in which vehicle 110 travels and the extrinsic data can include position of surrounding (in-road or off-road) vehicles relative to vehicle 110; velocity or acceleration of surrounding vehicles; traffic data (average velocity of a group of cars, presence of accident(s), etc.) at nearby location(s) that is part of a planned trajectory of vehicle 110; identified road hazards; intended destination or departure location (R(t0)); or the like. As another example, operation environment 140 can include location(s) in which vehicle 110 operates (e.g., high or low accident area, high car damage or theft area, safe garage parking area . . . ). Moreover, with respect to operator of vehicle 110, extrinsic data can include biometrics information or vitals data of such operator, e.g., heart rate, blood pressure, blood glucose, perspiration level, etc., which can affect performance of vehicle 110. For example, when vehicle 110 is a car, irregular heartbeat and high blood pressure can suggest the driver of vehicle 110 is highly stressed and thus prone to unsafe driving conduct, which may warrant increase insurance benefit(s) rate. For another example, an operator with dangerously low blood glucose can be likely to cause an accident in view of risk of loosing consciousness due to inadequate blood sugar level; thus, an increase in insurance benefits(s) may be warranted.
  • It can be appreciated that information 134 conveys rich, highly segmented contextual data (e.g., data on several facets of operation of vehicle 110, or operator or occupant(s) thereof) that service provider platform 120 or related third-party network(s) 150 can exploit to generate incentive offer(s) 138. Thus, in contrast to conventional incentivation systems, incentive offer(s) 138 described herein are highly customized, beneficiary-centric offer(s). In addition, incentive offer(s) 138 can be adjusted in real-time or nearly real-time in response to time-dependent variations in information 134. Furthermore, in view that incentive offer(s) 138 are exchanged for information 134, such incentive offer(s) can provide value to both service provider platform and prospective beneficiary of retained insurance benefits.
  • In an aspect of the subject disclosure, incentive offer(s) 138 can be directed to provision of (i) insurance benefit(s), or coverage, that is adequate to current or nearly-current operation condition(s) of vehicle 110, in addition to specific incentive package(s); (ii) discounted real-time or nearly real-time insurance benefit(s) for vehicle 110; (iii) subsidized service(s) that operator of vehicle 110 or occupant(s) thereof can consume; or (iv) enhanced incentive package(s), particularly in scenarios in which service provider platform 120 increases price-point, or rate, of insurance benefit(s) in view of received information 134. In connection with (i), if operator of vehicle 110 adopts real-time or nearly real-time insurance benefit(s), the operator not only benefits from received specific incentive package(s) (e.g., coupons for merchandise related to trajectory of vehicle 110), but in view of pattern(s) of operation of vehicle 110 as revealed by information 134, the operator also mitigates risk of underinsured operation of vehicle 110 or unnecessary acquisition of insurance benefit(s) (e.g., excessive comprehensive coverage). Thus, incentive offer(s) 138 directed primarily to provision of adequate coverage can increase customer loyalty through generation of highly customized, dynamic insurance benefit(s).
  • With respect to (ii), service provider platform 120 or one or more of third-party network(s) 150 can subsidize discounts for insurance benefit(s) that operator of vehicle 110 can acquire. Magnitude of discounts can be assessed based at least in part on at least one of volume and detail of information 134 that is communicated to service provider platform 120; scope of incentive offer(s) 138 allowed to be received; or scope of recipients of information 134. In an aspect, higher detail, or granularity, and/or higher scope can result in higher discounts. In the alternative or in addition, higher granularity can result in “forgiveness” of specific information within information 134 that can be typically adverse to beneficiary, e.g., operator of vehicle 110, and can result in increase of rate of insurance benefit(s); for instance, an operator that discloses received tickets for traffic violation(s), e.g., camera-captured speeding infraction, can avoid increase in insurance benefit rate if the unlawful speed was within a predetermined threshold (e.g., 2-4 miles per hour) of a speed limit in the area in which the camera captured the traffic violation. Such threshold or other forgiveness criteria can be established by service provider platform 120, e.g., insurance company, based on normal or expected conduct of operation of vehicle 110.
  • In another aspect, with respect to incentive offer(s) 138 allowed to be received, discounts for insurance benefit(s) can be determined by type and volume of advertisement that operator of vehicle 110 agrees to receive from service provider platform 120 or third-party network(s) 150. In such an aspect, service provider platform 120 can subsidize insurance benefit(s) through revenue originated from sale or lease of resources (e.g., radio channel(s) or radio time slot(s), display real estate in navigation device) for advertisement within vehicle 110. Specific departments of service provider platform 120, retailers, third-party network(s) can purchase or lease such advertisement resources. In addition or as an alternative, discounted price-point for insurance benefit(s) can be achieved if operator of vehicle 110 accepts an incentive offer to receive customized, or contextual, promotional content from the service provider platform 120 or specific advertiser(s). Such promotional content can be customized based at least in part on a portion of information 134 that is made available to the service provider platform 120 or the specific advertiser. Based on the portion of information 134, customization can be accomplished as a function of at least one of time, location, or event(s). As an example, the portion of information 134 that is made available can include typical mobility trajectories of vehicle 110; such information can be provided to retailers (restaurants, bookstores, coffee shops, etc.) located in the vicinity of the mobility trajectories, e.g., a route of vehicle 110 from a starting point to a destination, a retailer within such retailers can deliver advertisement(s) or incentives, e.g., coupons, at times in which vehicle 110 is in proximity of the retailer location. As another example, if the portion of information 134 that is supplied includes common destinations, e.g., historically re-incident locations, of vehicle 110, retailers can advertise specific merchandise related to the destination. In particular, if the common destinations are, for example, a childcare facility, a coffee shop, and a health club, retailers that sale diapers, baby formula, children clothing; custom coffee blends and espresso machines; and nutrition supplements can supply advertisement to vehicle 110 or related operator. As yet another example, if the available portion of information 134 includes specific mechanical condition(s) of vehicle 110 and position, coupon(s) and contact information (e.g., telephone number, email address, website address) of a nearby repair shop and towing service can be delivered to vehicle 110 in an emergency event. It should be appreciated that as the portion of information 134 that is allowed to be made available to advertiser(s) becomes more comprehensive, such information allows improved customization or targeting of advertisement content(s) and thus discount in price-point of insurance benefit(s) can become substantial (e.g., 50% discount over regularly quoted price-point) as the advertiser(s) can pay premium fees for advertisement opportunities.
  • In yet another aspect, operator (e.g., driver) or vehicle 110 can elect to allow or block specific information from service provider platform 120 (e.g., insurance company) or other entities such as law enforcement agencies (e.g., third-party network(s) 150). Based on such election, scope of information 134 can be determined, and service provider (e.g., insurance company) can provide lower or higher rate(s) for insurance benefit(s); in one example, allowing broad information to be conveyed as part of information 134 may result in lower rates.
  • With respect to (iii), if an operator of vehicle 110 allows exposure of information 134 that allows rich context identification, e.g., extraction of patterns of mobility and operation habits related to vehicle 110, an advertiser or service provider exposed to such information can subsidize one or more services for the operator. The service can include wireless service, such as voice, data, or voice and data; road assistance; medical or dental services, e.g., if the dentist office is in proximity of workplace of operator, dentist can provide discounted service; salon or barber service; etc.
  • Regarding (iv), as indicated supra, in scenarios in which granularity or scope of information can adversely affect assessed rate for insurance benefit(s), service provider platform 120 can promote adoption of real-time or nearly real-time insurance benefit(s) through enhanced incentive package(s), such as discounted operation (e.g., driving) educational material(s) or operation lesson(s). It should be appreciated that access to such material can benefit both operator of vehicle 110 and service provider platform 120 (e.g., insurance company), since safer operation of vehicle 110 reduces risk of operator pursuing a claim as a result of accident, which reduces expenses for service provider platform 120, and operator of vehicle 110 improves performance and thus can reduce rate of insurance benefit(s) over time.
  • FIG. 2 illustrates an example embodiment of a communication framework that is part of an example system 200 to promote adoption of real-time or nearly real-time insurance benefit(s) in accordance with aspects of the subject disclosure. The illustrated communication framework can embody communication framework 130. Vehicle 110 communicates with service network 120 through wide area network (WAN) 210, which can include wireless and wireline functional elements that enable communication throughout various geographical areas. Operation environment 140 can be part of deployment region(s) of WAN 210, even though it is illustrated as a separate entity. An insurance benefit carrier, or insurance company, that administers service provider platform 120 need not own WAN 210 in order to accomplish communication with vehicle 110 or device(s) linked thereto.
  • In an aspect, vehicle 110 can deliver traffic, or user data, and control data, or signaling, to access point(s) (AP(s)) 220 via wireless link 224; likewise, vehicle 110 can receive traffic and signaling from AP(s) 220 via wireless link 224. In view of mobility (e.g., trajectory R(t)) of vehicle 110, as time progresses, different access point(s) in AP(s) 220 can serve traffic and signaling to vehicle 110. Signaling and traffic can be delivered or received in accordance with one or more radio technology protocols, such as Third Generation Partnership Project (3GPP) Long Term Evolution (LTE), 3GPP Universal Mobile Telecommunication System (UMTS), 3GPPP High Speed Packet Access (HSPA), or fourth generation (4G) radio technologies such as LTE Advanced (LTE-A). A network interface (not shown) with wireless functionality and related circuitry, e.g., antenna(s), modem, codec(s), etc., in vehicle 110 can enable such exchange of traffic and signal amongst vehicle 110 and AP(s) 220. Traffic and signaling received in AP(s) 220 can be relayed to one or more network management component(s) (e.g., radio network controller (RNC), mobility management entity (MME), network gateway(s) . . . ) within WAN 210, which can deliver at least a portion of the traffic and signaling to a gateway (GTY) 230, which functionally connects WAN 210 to service network 120 via link(s) 234. Link(s) 234 can include wired link(s), e.g., reference link(s), or wireless or wired backhaul pipe(s). As described supra, service network platform 120 is functionally connected to third-party network(s) 150 via interface 152. Service network platform 120 or third-party network(s) 150 can deliver traffic and signaling to vehicle 110 through the functional element(s) described supra. Third-party network(s) 150 can route traffic or signaling through service provider platform 120 or direct connectivity to link(s) 234, via interface 236 (wired or wireless link(s), reference link(s), router(s), gateway(s), etc.).
  • FIG. 3 displays a block diagram of an example system 300 that enables incentivation of adoption of real-time or nearly real-time insurance benefit(s) in accordance with aspects described herein. Throughout description of example system 300, FIGS. 4-5 are referenced to illustrate various features or aspects of example system 300 or specific component(s) therein. As discussed supra, intrinsic data and extrinsic data on performance, or operation, of a vehicle, e.g., 110, compose performance information, e.g., 134, that is utilized to produce incentive offer(s), e.g., 138, to adopt real-time or nearly real-time insurance benefit(s). The performance information can characterize operational behavior of vehicle 110. In example system 300, one or more performance metric collection component(s) 310, also referred to as performance collection component(s) 310, can probe various sources of performance operation condition(s) of a vehicle (e.g., 110) or features(s) of an operation environment (e.g., 140) of the vehicle in order to gather at least one of intrinsic data or extrinsic data, indicated with data 312.
  • Performance collection component(s) 310 can be integrated with the vehicle (e.g., 110) for which performance operation information, or knowledge, is collected. For example, performance collection component(s) 310 can be embodied in a computerized monitoring box integrated with the vehicle and that probes mechanical condition(s) thereof (tire pressure, oil or fuel level, battery charge, fluid(s) temperature, payload weight, etc.) or operation parameters such as velocity, and acceleration or deceleration of the vehicle. For another example, an integrated navigation system (e.g., a satellite-based navigation unit and associated electronic circuitry) or integrated cameras (e.g., for vehicle assisted maneuvering) also can provide at least a portion of performance operation information. For yet another example, at least one or more performance collection component(s) 310 can be embodied as sensors integrated in the steering wheel or other control device (e.g., a joystick in an aircraft) of vehicle 110. Such sensors can efficiently allow collection of biological or medical data of operator of vehicle 110 without reliance on, for example, wearable devices, which may not be readily adopted by older drivers or operators.
  • Additionally or alternatively, performance collection component(s) 310 can be part of an add-on device, and associated circuitry, operationally coupled, e.g., attached through a functionally active wired or wireless link and suitable interface(s), to the vehicle. As an example, one or more of performance collection component(s) 310 can be embodied in a mobile station (smartphone, wireless enable personal computer), which can supply at least one of location data or trajectory data such as velocity and acceleration or deceleration. In an aspect, such data can be collected through a global navigation satellite system (Global Positioning System (GPS), Galileo, etc.) transceiver and processor that operates in the mobile station. As another example, data can be collected through an add-on navigation device, and associated circuitry.
  • One or more components in performance collection component(s) 310 can enable identification of an operator of a vehicle. For example, a biometric reader (an iris scan, fingerprint reader, etc.) can identify the operator and associate, in a one-to-one relationship, collected data on performance, or operation, of the vehicle with the operator. As another example, if one of collection component(s) 310 is embodied in a mobile handset, a vehicle that includes wireless communication functionality (e.g., point-to-point short-range wireless access point(s), or other types of vehicular access point(s)) can identify the operator of the vehicle or other occupant(s) after the mobile handset attaches to an access point deployed in the vehicle. Accordingly, collected performance data can be independent of operated vehicle.
  • Performance data also can associated with an operator in vehicles that lack biometric readers or limited wireless functionality. In a scenario, a device, and associated circuitry, that can identify the operator can be carried by the operator. For example, a radiofrequency (RF) transceiver device attached to a keyfob can be actuated by an RF scanner affixed to the vehicle and thus provide identification for the operator. For another example, a tag with a barcode associated with the vehicle or one or more performance collection component(s) can be scanned prior to operation of vehicle. Other identification means are also possible.
  • In addition or in the alternative to features or aspects of performance collection component(s) 310, in one or more embodiments, performance collection component(s) 310 can generally include at least one of a processor, a memory, one or more components, or circuitry for communication amongst the one or more components, the processor, and the memory, in order to implement collection of performance data. For specific embodiments, the one or more components that can be part of performance collection component(s) 310 can be retained within the memory as set(s) of code instructions that are executed by the processor to enable at the very least collection and delivery of performance data as described herein. Execution of such code instructions also can enable exchange of at least performance data with other functional elements in example system 300.
  • In an aspect, intrinsic and extrinsic data on performance, or operation, can be conveyed to a set of operator-machine interface(s) 330, which can include conventional vehicular dashboard panels or advanced windshield display(s), and to an election component 320 that can administer or manipulate such data, and regulate access thereto in accordance with an election of incentive offer(s) 376. In another aspect, intrinsic or extrinsic data on performance, or operation, can be collected in accordance with collection logic 358, which can establish, at least in part, at least one of scope of collected data or data that is to be conveyed to operator-machine interface(s) 330 or election component 320.
  • Information management component 324 receives data on performance, or operation, and generates performance record(s), which can be at least one of (1) instantaneous record(s) that convey performance as probed at a current or nearly current instant, or (2) aggregated record(s) over a predetermined performance period. In an aspect, with respect to (1), instantaneous record(s) can replicate received data 312; e.g., instantaneous record(s) can comprise “raw” operation data. In another aspect, with respect to (1) and (2), information management component 324 can receive performance data in format(s) native to performance collection component(s) 310 and format generated performance record(s) in accordance to a protocol suitable for communication via access network 370. Generated performance record(s) can be specific to an operator of the vehicle for which the performance data is gathered; performance record(s) can be retained in memory 350 within memory element 352 classified according to operator, as illustrated by memory element(s) 354, which can comprise one or more databases. In one or more embodiments, such as embodiment 400 illustrated in FIG. 4, information management component 324 can include a mining component 404 that generates performance record(s) in accordance with (1) or (2). In an aspect, as part of aggregation of received performance data, mining component 404 can compute statistics (e.g., mean, standard deviation and other momenta, etc.), extract patterns; identify data clusters; extract correlations; etc.
  • In addition, information management component 324 can select a portion of performance record(s) 352, for a specific operator as recorded in memory element(s) 354, and deliver the selected portion to service provider platform 120 as operation information (e.g., 134). The selected portion of record(s) can be part of conveyed record(s) 374. In an aspect, selection of performance record(s) 352 can proceed in accordance with privacy criteria 362, which comprises a configurable set of rules that control volume and detail level (e.g., instantaneous record(s), aggregated record(s)) of performance information, e.g., record(s) 374, that is delivered to at least one of service provider platform 120 or third-party network(s) 150. The set of rules can be configured by the operator of a vehicle (e.g., 110) for which the data on performance is collected. In an embodiment, election component 320 (e.g., through information management component 324) in combination with operator-machine interface(s) 330 can enable configuration of privacy criteria 362, or associated set of rules. It is noted that while privacy criteria 362 is illustrated as separate from collection logic 358, such criteria can be retained within collection logic 358. As an illustration, in embodiment 400, selection component 408 enables configuration of privacy criteria. As illustrated in example embodiment 400, components that are part of information management component 324 can exchange information, e.g., data or signaling, via a bus 418 or any other information exchange conduit, protocol. Bus 418 can be embodied in at least one of a memory bus, a system bus, an address bus, or a message bus.
  • In response to supplied performance information, e.g., record(s) 374, service provider platform 120 can generate and deliver incentive offers(s) 376 to election component 320. In an aspect, access component 392 can receive the performance information, or information on operation, and retain such information in record storage 398; thus, the record storage 398 can include current or historical data on performance, or operation, of a vehicle or other insured entity associated with record(s) 374. In addition, access component 392 also can receive signaling 378. As described supra, service provider platform 120 (e.g., insurance carrier) can generate the incentive offer(s) 376 based at least in part on the received performance information; in an aspect, benefit generation component 394 can produce the incentive offer(s) 376. In one or more embodiments, for example, embodiment 500 illustrated in FIG. 5, benefit generation component 394 can include an analysis component 504 that can process received performance record(s) to issue an incentive offer; to at least that end, benefit generation component 394 can exploit a set of code instructions retained in application store 530. Exchange of information, e.g., data or signaling, amongst components that are part of benefit generation component 394 and amongst one or more of such components and memory 396 can be effected via a bus 518 or any other information exchange conduit, protocol. Bus 518 can be embodied in at least one of a memory bus, a system bus, an address bus, or a message bus.
  • In an aspect, analysis component 504 can correlate performance data with information available on the environment in which vehicle 110 operates. In an example, data on vehicle's velocity and location can be correlated, e.g., compared, with speed limits for a road currently traveled to determine if the vehicle is speeding and thus establish a current or nearly current insurance benefit rate or a discount thereof. In another example, analysis performance can contrast data on mechanical performance with standardized or expected parameters for various parts of the vehicle (in particular its make, model, etc.) to establish operational safety or assess risk of malfunction and thus determine a current or nearly current insurance benefit rate or discount thereof. In yet another example, analysis component 504 can retrieve information related to operational environment of vehicle 110 from one or more of third-party network(s) 150; for instance, analysis component 504 can retrieve statistics on accident occurrence or criminality indices along a current or selected route. In another aspect, analysis component 504 can aggregate received performance record(s), which can be retained in record storage 520, which is substantially the same memory element as record storage 398, to compose incentive offer(s) 376, e.g., establish a real-time or nearly real-time insurance benefit rate or discount thereof, or determine promotional content(s), e.g., content(s) 377, to incentivize operator of vehicle 110. As part of aggregation of received performance data, analysis component 504 can compute statistics (e.g., mean, standard deviation and other momenta, etc.), extract patterns; identify data clusters, etc. Empirical, customary rule(s) of operation of vehicle 110, e.g., the norm of operation, can be applied to aggregated data to determine magnitude of changes, e.g., increment or decrement, in insurance benefit(s) rates. Consideration of norm of operation rather than lawful operation of vehicle 110 can result in unchanged insurance benefit rates or unchanged incentive offer(s) in case a fine for a traffic law violation is assessed to an operator of vehicle 110, and the operator pays such fine, if the violation occurred while operator complied with the norm of operation. As an illustration, an operator driving at 67 MPH in a 65 MPH zone may be complying with the norm and thus service provider 120 may not consider such offense detrimental to insurance cost(s) or prospective incentive offer(s).
  • Upon or after generation of incentive offer(s) 376, service provider platform 120, e.g., through benefit generation component 394, can deliver incentive offer(s) 376 via access network(s) (NTWK(s)) 370, which can be embodied in the example communication framework illustrated in FIG. 2, and can comprise internet infrastructure (e.g., broadband remote access server(s) (B-RAS(s)), digital subscriber line access multiplexer (DSLAM) . . . ) and related connectivity. Election management component 320, via information management component 324, for example, can receive incentive offer(s) 376 and relay such offer(s), or content(s) thereof, to a benefit display component 340, which is part of at least one of operator-machine interface(s) 330. In an aspect, information, e.g., data such as record(s) 374, incentive offer(s) 376, content(s) 377, or signaling 378, can be exchanged amongst election component 320 and access network(s) 370, and access network(s) 370 and service provider platform 120, via, respectively, interfaces 372 and 382. Each of such interfaces 372 and 382 can include at least one of I/O interface components (e.g., modem(s), gateway(s), router(s), server(s) . . . ), wired or wireless links, or the like. Access network(s) 370 also can exchange information (e.g., data, advertisement, signaling, record(s) 374, incentive offer(s) 376, signaling 378 . . . ) via interface 384, which can include at least one of I/O interface components (e.g., modem(s), gateway(s), router(s), server(s) . . . ), wired or wireless links, or the like.
  • Benefit display component 340 can render the received incentive offer(s) 376, or content(s) thereof, and can collect input from at least one of operator or occupant(s) of the vehicle that hosts election component 320. In an aspect, such input can be received through one or more gestures, such as speech (e.g., voice commands), touch (e.g., screen tap), motion (e.g., hovering over screen, displacement of benefit display component), or the like. As illustrated, benefit display component 340 can be integrated in an operator machine interface 330; however, in one or more embodiments, benefit display component 340 can be a dedicated component or integrated within election component 320 or one of performance collection component(s) 310.
  • Received operator's input can be a specific election, or an indication thereof, of one or more of the received incentive offer(s) 376, or content(s) thereof. In an aspect, the specific election can include an indication of at least one of scope of supplied performance records or scope and source of content received as part of an elected incentive offer; such indication customizes incentive offer(s) 376 from the perspective of the operator of vehicle 110. Source can include service provider platform 120 or third-party network(s) 150. In an example feature, information management component 324 can commit, within privacy criteria 362, the indication of content(s), and scope and source(s) thereof, authorized to be received as part of the elected incentive offer. The specific election can be conveyed to election component 320 which can relay the election to service provide platform 120, via access network(s) 370, as part of signaling 378. After an election to accept an incentive offer and related insurance benefit plan or content(s), the election can be revoked at substantially any or any time. Benefit display component 340 also can render content(s) 377 associated with an elected incentive offer.
  • Based on the operator's input, which can be received by service provider platform 120, e.g., via access component 392, as part of signaling 378, benefit generation component 394 can effect term(s) of a particular election of incentive offer(s) 376. For instance, benefit generation component 394 can update an insurance benefit policy to reflect discount(s), or increased or decreased coverage and associated revised insurance benefit rate(s); bill a beneficiary in accordance with updated policy; issue incentive(s) and related content, such as advertisement or other promotional material(s), educational material(s), coupon(s), service credit(s). In addition, as part of effecting the term(s) of elected incentive offer(s), benefit generation component 394 configure one or more of third-party network(s) 150 to direct such network(s) to produce at least one of a portion of incentive(s) (e.g., coupon(s), service credit) or advertisement(s) associated with the particular election of incentive offer(s) 376. Moreover, benefit generation component 394 can convey a directive to information management component 324 to supply at least a portion of performance information, e.g., record(s) 374, to specific third-part network(s) 150. In an example embodiment, e.g., 500, issuance component 508 can configure the one or more third-party network(s) 150 or can convey such a directive to information management component 324. In the alternative or in addition, benefit generation component 394 can authenticate predetermined third-party network(s) 150 with information management component 324 in order for such predetermined third-party network(s) 150 to access at least a portion of performance record(s) 352. In one or more embodiments, e.g., 500, anti-fraud component 516 can implement such authentication in accordance, for example, with one or more conventional authentication mechanisms.
  • With respect to further aspects of example system 300, information management component 324 can administer rendering of incentive(s) or related content(s), e.g., 377, received in accordance with terms of an accepted incentive offer. In an aspect, information management component 324 can compute a safety metric for a current or substantially current operation condition of vehicle 110 and determine, based at least in part on predefined safety threshold(s), for example, a suitable operation condition to render at least one of incentive(s) or related content(s). In an aspect, computation of the safety metric indicated supra can include data on operation of the vehicle and one or more safety factors, which can be gleaned from the performance data. Computation can be based on disparate levels of intelligence, ranging from utilization of predetermined functions that model safety metrics to autonomous determination of a safety metric. In the latter, correlations amongst available (current, substantially current, historical, etc.) intrinsic and extrinsic data on performance, or operation, can be extracted based on AI methodologies and a safety level, or metric, can be inferred from the extracted knowledge.
  • Format or packaging of the at least one of incentive offer(s) 376 or related content(s) 377 can be dictated, at least in part, by the suitable operation condition in order to supply sufficient information to convey commercial aspect(s) and not distract operator (e.g., driver of vehicle 110) excessively. Accordingly, in an aspect, the packaging can include a persistence time interval to render content(s) 377. As an example, content(s) 377 related to an accepted incentive offer can be rendered to an operator of a car when the car is stopped at a red traffic light; a condition that can be determined through data collected by camera(s) and speedometer reading(s); such data and reading(s) captured, for example, by one or more of performance collection component(s) 310. The rendered content(s) can be adjusted to a typical time interval that a red traffic light remains actuated. As another example, content(s) such as a set of rich advertisement can be rendered when the vehicle that hosts election component 320 is parked but while the operator is still occupying the vehicle. Based on parking location, information management component 324 can customize the rendered advertisement: If the vehicle is parked near a retailer for which advertisement is available as part of an accepted incentive offer, the rendered advertisement can be linked to merchandise offered for sale at the retailer. Such customization is part of targeted advertisement provided by aspects of the subject disclosure. In one or more embodiments of information management component 324, e.g., example embodiment 400, delivery component 412 can format or package received incentive offer(s) 376 and content(s) 377 associated with an elected incentive offer as described supra. In further embodiment(s), packing component 512 within benefit generation component 394 can format or package content(s), e.g., 377, associated with incentive offers 376 as described supra. Delivery component 412 also can process input received from an operator of vehicle 110 via benefit display component 340, and can compute safety metrics hereinbefore. In an aspect, delivery component 412 can tailor incentive offer(s) or related content in accordance at least in part with available rendering resources or medium, e.g., display screen in a mobile handset or a head-up display in vehicle 110. For a head-up display, delivery component 412 can control projection of the incentive offer(s) 376 or related content, such as advertisement, wherein benefit display component 340 embodies at least in part the head-up display. To minimize distraction caused by rendered incentive offer(s) or related content(s) (e.g., advertisement), delivery component 412 can exploit various elemental indicia such as light sources that span a spectrum of wavelengths (e.g., green, red, yellow . . . ) to convey available discount for insurance benefit(s) in an incentive offer; a coupon value; or available promotional material from a specific retailer or service provider. For example, blue light can indicate promotional material from insurance carrier, whereas green light can convey advertisement from a food retailer. In an embodiment, light sources can be part of benefit display component 340 and can be embodied in light emitting diodes (LEDs).
  • Moreover, information management component 324 also can select portion(s) of generated record(s) and retain such portion(s) in sampling storage 356 in order to preserve snapshot(s) of historical data on operation that can be utilized to leverage historical performance in a determination of one or more real-time or nearly real-time insurance benefit(s) or incentive offer(s) related therewith. For example, performance records of different longevity, retained in sampling storage 356, can be correlated to determine if specific aspects of operation of vehicle 110, such as observance of posted speed limits is a persistent feature along historical records of operation, or if it is a singular performance aspect directed to eliciting incentive offer(s) with associated low insurance benefit(s) rates. In one or more embodiments, e.g., example embodiment 500, anti-fraud component 516 can download, e.g., request and retrieve upon acknowledgement of the request, historical performance record(s) retained in sampling storage 356, and determined whether a current, nearly-current, or recent performance is fraudulent and geared towards obtainment of artificially low rates for insurance benefit(s). Anti-fraud component 516 also can establish legitimacy of received performance record(s). Anti-fraud component 516 can exploit one or more software or firmware applications, retained as one or more sets of code instructions in application store 530, to make determinations on fraud.
  • In example system 300, election component 320 also can include information regulation component 328, which can control access to performance record(s) 352—e.g., control of asynchronous delivery of record(s), delivery of record(s) based on schedule, delivery or disclosure of record(s) in response to a request, delivery of record(s) as part of a service. Control can be dictated, at least in part, by a configurable set of regulation rules, stored in memory element 360; configuration of such regulation rules can be implemented in a manner similar to configuration of privacy criteria 362: an operator of vehicle 110 that hosts at least a portion of example system 300 can configure the set of regulation rules. The set of regulation rules enforces access privileges that can be granted to service provider platform 120 or third-party network(s) 150. Additionally, information regulation component 328 can control content, such as incentive package(s) or advertisement(s), associated with elected incentivized time-dependent, e.g., real-time or nearly real-time, insurance benefit(s).
  • In an aspect of the subject disclosure, content of memory 350 can be transferred amongst vehicles. In a scenario, if a dedicated device, and associated components and circuitry, embodies performance collection component(s) 310, election component 320, and operator-machine interface(s) 330, the device can be removed from a first vehicle (e.g., family car) and functionally fitted in a second vehicle (e.g., a rental car); the fitting can be enabled by an interface such as a Universal Serial Bus (USB) port and associated connector(s). Thus, available performance record(s) 352 and other information can be exploited during operation of the second vehicle (e.g., a rental car). In another scenario, memory 350 can be a removable memory card, and so the knowledge stored therein can be realized in a vehicle through functional fitting of the memory card; in such scenario, election component 320, and components therein, can be retained within the memory card as a set of computer- or device-executable code instructions. In yet another scenario, content of memory 350 can be uploaded to a mobile device, through a suitable interface (e.g., USB port and connector(s), infra-red (IR) interface), and downloaded to a disparate vehicle from the mobile device.
  • In example system 300 described supra, collection of performance information and generation of incentive offer(s) is effected in disparate functional environments. In an alternative or additional example system 600 that enables incentivation of adoption of real-time or nearly real-time insurance benefit(s), both collection of data on performance, or operation, and generation of incentive offer(s) can be conducted within a single functional environment, e.g., on-board the operated vehicle (e.g., 110) for which data is collected. FIG. 6 is a block diagram of such an example system 600.
  • In example system 600, benefit generation component 394 is local to the vehicle for which performance information is generated. To generate incentive offer(s), as described supra, benefit generation component 394 exploits generation criteria 397 and methodologies or algorithms, retained in application store 530, within memory 350. Terms of accepted incentive offer(s) can be communicated, via access network(s) 370, to at least one of service provider platform 120 or third-party network(s) 150 in order to effect such terms—e.g., update an insurance benefit policy to reflect discount(s), or increased coverage and associated revised insurance benefit rate(s); bill beneficiary in accordance with updated policy; issue content, such as advertisement or other promotional material(s), educational material(s), coupon(s), service credit(s), in accordance with accepted incentive offer(s).
  • Generation of incentive offer(s) on board of an operated vehicle can reduce signaling over access network(s) 370 and thus improve real-time or nearly real-time aspects of incentive offer(s). In addition, efficiencies related to election of incentive offer(s) can be realized in areas with unreliable or unavailable communication service through access network(s) 370. In an illustrative scenario, generation of incentive offer(s) can proceed even when access network(s) 370 experiences outage due to poor radio link quality, network congestion, or malfunctioning of a main cellular tower or other type of access point, e.g., a metropolitan Wi-Fi AP. In such scenario, accepted term(s) of incentive offer(s) can be logically retained in memory 350 and conveyed to at least one of service provider platform 120 or third-party network(s) 150 upon or subsequent to communication service recovery.
  • FIG. 7 is a block diagram of an example system 700 that enables monetization of collected information on operation of an insured vehicle (e.g., vehicle 110) in accordance with aspects described herein. The subject example system 700 also can be employed to monetize operation information associated with performance of most any or any insured entity, such as a house insured under a home insurance policy or benefit; a person with health insurance coverage or personal injury coverage, or life insurance; or industrial equipment. Financial compensation that originates from monetization of delivery of information on operation of the insured vehicle, or any insured entity for which performance data is available, can be employed to subsidize incentive offers described supra. In an aspect of the subject disclosure, monetization can be accomplished through sale(s) of collected information on operation of the insured entity, e.g., vehicle 110, to third-party network(s) 150. In an example scenario, service provider platform 120 can supply information on operation of the insured vehicle, or most any insured entity, to a third-party network within the set of third-party network(s) 150 and monetize such information through commercialization of advertisement resource associated with the insured entity. In one or more embodiment, aspect, benefit generation component 394 can deliver, or supply, the information on operation of the insured vehicle, or most any insured entity. It should be appreciated that in one or more alternative or additional embodiments, access component 392 also can deliver, or supply, the information on operation of the insured vehicle. In such example scenario, the third-party network can purchase advertisement resources allocated by service provider platform to deliver advertisement content(s) and promotional material(s). Financial compensation associated with purchase of the advertisement resources affords acquisition of the information on operation of the vehicle.
  • Monetization of information on operation of the insured vehicle, or any other insurance entity, is advantageous to third-party network(s) in view of at least the following. The supplied information on operation of the insured entity can be highly segmented, since service provider platform can select particular groups of one or more insured entities (e.g., vehicles) and associated devices or human agents (e.g., occupant(s) of the insured vehicles). Accordingly, as described supra, advertisement can be highly customized and thus the third-party network or the service provider platform can push advertisement content(s) and promotional material(s) with enhanced likelihood of engagement, e.g., purchase, offline or online store visit(s), subscription to service, adoption of membership in service club(s), such as a wholesale purchase, and so forth.
  • In an aspect of example system 700, to implement monetization of collected or available information on operation of an vehicle, a transaction component 710 can commit an agreement to supply at least a portion of collected or available information on operation of the vehicle in exchange of payment or compensation from a buyer, e.g., one or more of third-party network(s) 150, of the information. To commit the agreement, for example, transaction component 710 can retain the agreement terms in memory 396, and install or configure a firmware of software application that implements the term(s) of the agreement. The term(s) of the agreement can regulate at least one of the scope of information associated with operation of an insured entity, e.g., the insured vehicle, that is supplied to the third-party network or any other component that consumes the information on operation of the insured vehicle; delivery aspects, such as delivery schedules, delivery events, etc.; duration of the agreement, termination clause(s), or the like. The term(s) of the agreement also can determine one or more allocations of resources for advertisement in at least one of the insured vehicle or a device linked thereto. In an aspect, transaction component 710 can allocate resources for advertisement of a product or service in the insured vehicle or a device linked thereto in accordance with the term(s) of the agreement. In one or more embodiments, to allocate the resources for advertisement, transaction component 710 can execute, at least in part, the installed or configured firmware or software application(s) that implements the term(s) of the agreement. Moreover, the term(s) of the agreement also regulate billing feature(s) of the agreement, wherein the billing feature(s) include at least one of billing model(s), billing cycles, promotional term(s), or the like. To implement billing of the supplied information on operation of the insured entity (e.g., vehicle 110), and effect the monetization thereof, billing component 720 can effect the billing feature(s) of a committed agreement. Billing component 720 can receive the financial compensation in accordance with the billing feature(s) of the committed agreement, or as regulated at least in part by such agreement. Transaction component 710 can configure and retain such features in billing data store 730, which also includes current and historical billing records for a group of third-party networks that have acquired access to a supply of information on operation of the insured entity, e.g., the insured vehicle.
  • If the information on operation of the insured entity, e.g., vehicle 110, is monetized through commercialization of advertisement resources, billing component 720 can implement various billing models based on response of a beneficiary, e.g., an operator of an insured vehicle, or an agent (human or otherwise) associated therewith to an advertisement impression, e.g., rendered content that composes the advertisement. The advertisement impression can be delivered to a vehicle through access network(s) 370 as part of content(s) 377, as described supra, and the response of the beneficiary or the agent associated therewith, can be received as part of signaling 378, which can be produced by a component, such as benefit display component 340. As an example, at least one of a cost-per-click (CPC) model, a cost-per-gesture (CPG) model, or a cost-per-action (CPA) model can be implemented. Click(s), gesture(s), or action(s) in response to the advertisement impression can incur predetermined charges that are assessed to the third-party network that receives the performance information. The advertisement impression can be rendered in an on-board vehicle display that allows input (e.g., via touch screen) from an operator or an occupant of the vehicle to respond to the advertisement through a click, a gesture, or an action (e.g., purchase of an advertised product).
  • In an aspect, for response(s) to an advertisement, or advertisement impression that entail an action, transaction component 710 can process, at least in part, the action. For instance, purchases can be enabled through billing information (e.g., credit card record(s)) of a beneficiary associated with the insured entity (e.g., vehicle 110) in which the action occurs.
  • In another aspect of advertisement, benefit generation component 394 can generate at least part of content associated with advertisement that is pushed to an insured entity, or a component therein (e.g., benefit display component 340), as part of monetization of information on operation of the insured entity. Accordingly, benefit generation component 394 and billing component 720 can form an advertisement platform. Advertisement content also can be generated at the third-party network that consumes (e.g., purchases) the information on operation of an insured entity; and advertisement platform that resides within such third-party network can generated the advertisement content. As discussed supra, advertisement content generated by benefit generation component 394 or an advertisement platform in the third-party network(s), can comprise a set of incentive offers associated with the insurance benefit for the vehicle based in part on at least one of the information on operation of the vehicle and available historical information on operation of the vehicle.
  • As part of monetization of the information on operation of an insured entity, service provider platform, via, for example, transaction component 710, can adjust the scope of supplied information in accordance with configurable privacy term(s) established by a beneficiary of an insured entity. Such privacy term(s) can be retained in beneficiary database 740, and can complement or supplement privacy settings (e.g., privacy criteria 362) configured by the beneficiary to control the scope of performance information, e.g., record(s) 374, that are provided to service provider platform 120 or third-party network(s) 150. Privacy term(s) and the privacy settings (e.g., privacy criteria 362) can be the same or substantially the same.
  • In view of the exemplary systems shown and described above, methodologies can be implemented in accordance with the disclosed subject matter, as illustrated in FIGS. 8-12. While, for purposes of simplicity of explanation, the methodologies might be shown and described as a series of blocks, it is to be understood and appreciated that the disclosed aspects are not limited by the number or order of blocks, as some blocks may occur in different orders and/or at substantially the same time with other blocks from what is depicted and described herein. Moreover, not all illustrated and/or described blocks may be required to implement the methodologies described hereinafter. It is to be appreciated that the functionality associated with the blocks may be implemented by software, hardware, a combination thereof or any other suitable means (e.g. device, system, process, component). One example implementation of such functionality can include execution of code instructions retained in a computer-readable medium or a device-readable medium by a processor. Additionally, it should be further appreciated that the methodologies disclosed hereinafter and throughout this specification are capable of being stored on an article of manufacture to facilitate transporting and transferring such methodologies to various devices. Those skilled in the art will understand and appreciate that a methodology could alternatively be represented as a series of interrelated states or events, such as in a state diagram.
  • FIG. 8 is a flowchart of an example method 800 for incentivizing adoption of time-dependent insurance benefit(s) according to aspects described herein. At 810, performance information is collected. Collecting the performance information can include retaining it in a memory. Performance information can include operation data of an entity that is insured, or data related to an environment in which the entity operates. In an aspect, collecting performance information can proceed in accordance with predefined collection logic (e.g., collection logic 358), which can dictate, at least in part, scope of performance data to be gathered. In one or more embodiments, collection according to such logic can be advantageous to preserve battery life-span of a mobile device or other performance collection component(s), e.g., 310, that can collect the performance information.
  • At 820, a portion of the collected performance information can be supplied based at least in part on predetermined criteria. The predetermined criteria can be configured by an insurance beneficiary and thus can represent privacy criteria; the predetermined criteria can be dependent on an intended recipient of the performance information to be supplied. For example, a first set of criteria can be established for a provider of the insurance benefit(s), whereas a second set of criteria can be established for a law enforcement agency or a third-party network.
  • At 830, a disclosure of a set of optional incentives can be received, at least one of the incentives in the set of optional incentives is generated based at least in part on the supplied performance information. At 840, it is determined if at least one incentive in the set of optional incentives is elected. Determination can be accomplished through detection of input received from an operator of an insured entity (e.g., a motor vehicle) for which the performance information is collected. As described supra, the input can be received through a display component (e.g., 340). An affirmative determination leads to 850, in which an indication of election of at least one incentive in the set of optional incentives is delivered. The election also can convey a level of performance information that is agreed to be delivered as part of enjoying the elected benefit. Conversely, flow is directed to 810, in which additional performance information is collected.
  • At 860, content based at least in part on the at least one elected optional incentive is received. Content can include at least one of notification of an elected insurance benefit and feature(s) thereof (rate, acquired insurance coverage, insured entities, etc.); educational material related to insured entity, such as defensive driving tips if case of car insurance, benefits of exercising for blood glucose management in case of health insurance; an advertisement; a merchandise coupon; a service voucher (a pass-code to prepaid wireless minutes, a pass-code to media content downloadable from a website, etc) or a service credit and notification thereof; or the like. Subsequent to enactment of 860, flow is directed to 810, for further collection of performance information.
  • FIG. 9 is a flowchart of an example method 900 for issuing a set of incentive offer(s) to engage time-dependent insurance benefit(s) according to aspects described herein. At 910, for a specific period of performance, performance information is received. Metadata related to the performance information, e.g., data that identifies data that comprises the performance information can be received. Metadata can include identity of an operator for which the incentive offer(s) is directed, timestamps, incentive preferences, etc. Receiving performance information, and associated metadata, can include storing the performance information or the metadata. In an aspect, the period of performance can be adaptive, e.g., autonomously or automatically adjustable, and linked to the performance information that is collected; for instance, if velocity of a vehicle is included in the performance information and vehicle acceleration is zero or substantially zero, then performance period can be relatively long and adjusted, e.g., reduced, when acceleration becomes measurably different from zero.
  • At 920, a set of incentive offers related to time-dependent insurance benefit(s) is generated based at least in part on the received performance information. The set of incentive offers can include the optional incentives discussed supra in connection with example method 700. In particular, incentive offer(s) can include provision of insurance benefit(s) at deeply discounted rates, e.g., almost free-of-charge, in exchange for rich, highly detailed performance information. At 930, the set of incentive offers is conveyed.
  • At 940, it is determined if the set of incentive offers is to be updated or a new set of incentive offers is to be generated. Determination can be based at least in part on the received performance information and historical performance information available to a functional element that enacts the subject example block or method. As an illustration, if received performance information displays substantially the same correlations as available historical data, e.g., a moving average of velocity remains unchanged, then, the set of incentive offers need not be updated. Determination also can be based at least in part on signaling received in response to the delivered set of incentive offer(s); in particular, if an indication to revoke delivery of incentive offer(s) is received, no further set of incentive offer(s) are updated or generated. If outcome of 940 is affirmative, flow is directed to act 910. Conversely, the subject example method can be terminated.
  • FIG. 10 displays a flowchart of an example method 1000 for providing operation record(s) according to aspects disclosed herein. At 1010, a set of criteria to regulate access to a record of operation (e.g., record(s) 374) by at least one of a service provider, a third-party network, or an operator is issued. In an aspect, the set of criteria is configurable and can be issued asynchronously; an operator of a vehicle that is insured by the service provider can configure the set of criteria. An operator-machine interface can enable configuration of the set of criteria by receiving information that compose one or more rules that define the set of criteria, and retaining the information in a computer-readable medium (e.g., memory 350). The set of criteria can establish selective masking of information on operation (e.g., information 134 or record(s) 374) by determining a group of entities that can access, or is allowed access to, the record of performance (e.g., record(s) 374). As an example, a service provider (e.g., insurance carrier) can access record(s) of velocity of an insured vehicle, whereas a law enforcement agency (e.g., police) can be barred from accessing such record(s) of velocity if it reveals the vehicle is speeding. As another example, a parent of a teenage driver can receive any record(s) of performance related to a vehicle operated by the teenage driver.
  • At 1020, the record of performance for a specific performance period is generated. As described supra, for example, the performance period can be adaptive and adjusted according to the particular record of performance. At 1030, access to the record of operation is regulated based at least in part on at least one of the set of criteria, the service provider, or the third-party network. At 1040, based on access regulation, at least part of the records is delivered or withheld.
  • FIG. 11 is a flowchart of an example method 1100 for monetizing operation information of an insured entity in accordance with aspects described herein. At 1110, information on operation of an insured entity is collected. The insured entity can be a motor vehicle, a facility (e.g., house, business location), a living agent, such as a person or an animal, or the like. At 1120, an agreement to supply at least a portion of the collected information in exchange for a financial compensation is committed. Committing the agreement can include retaining terms of the agreement in a memory, and installing or configuring firmware or software application(s) (or set of devices or set of code instructions that compose such application(s)) that implements the term(s) of the agreement. In addition, committing the agreement also can include delivering the term(s) of the agreement to a party, e.g., third-party network component, and an indication that the agreement is current and in force. At 1130, at least the portion of the collected information is conveyed in accordance with the committed agreement. The recipient of at least the portion of information that is conveyed can be the party, e.g., third-party network component, that consumes the information. At 1140, the financial compensation is secured based on at least the portion of the collected information that is conveyed or the committed agreement. In an aspect, securing the financial compensation can include generating billing records for the information that is supplied to the party that consumes such information, and delivering billing invoices to such party.
  • FIG. 12 displays a flowchart of an example method 1200 for monetizing available performance information according to aspects described herein. While illustrated with respect to operation of a vehicle and information associated with such operation, the subject example method 1200 can be effected for other entities, such as a person, a house, a business, or the like. In addition, the subject example method 1200 is an example of method 1100. One or more blocks of example method 1200 can be implemented as part of example method 1100. At 1210, information on operation, or performance, of a vehicle is accessed. The information can be raw time-dependent intrinsic data or extrinsic data (see description of FIG. 1) or aggregated vehicle operation data, e.g., a pattern of acceleration within a predetermined performance period, a pattern of stop-and-go operation for a set of rush-hour periods in a predetermined route, destination location listing for past M trips, with M a natural number, etc. Accessing the information on operation can include receiving performance data, or records; in an example scenario, access component 392 receives the information on operation. At 1220, at least a portion of the accessed information is supplied to an advertisement platform (which can be embodied, for example, in benefit generation component 394 and billing component 720). The advertisement platform can be part of a service provider (e.g., service provider platform 120) that furnishes insurance benefit(s) for the vehicle for which operation information is accessed. In the alternative or in addition, the advertisement platform also can be part of a third-party network (e.g., 150) that is functionally coupled to the service provider.
  • At 1230, resources for advertisement of a product in at least one of the vehicle or a device linked thereto are allocated. Advertisement of the product can be tailored to aspects of the accessed information on operation, which can reveal contextual information related to an operator or occupant(s) of the vehicle. Thus, such advertisement and the product itself can be accurately targeted to the operator or occupant(s) or focused on the vehicle. The device can be integrated in the vehicle, e.g., navigation system, maneuvering system, head-up display, or the like. In addition or in the alternative, the device can be most any add-one device in the vehicle, such as a satellite-based navigation unit, or a most any electronic appliance, e.g., mobile device(s) utilized by an operator or occupant of the vehicle. The device integrated to the vehicle, the add-on device, or the electronic appliance can render information to an end user (e.g., the operator or occupant of the vehicle) via, for example, a display screen, a loud speaker or any other one or more components that can supply sound, images, token(s), or stimuli that deliver information to the end user. The resources that are allocated for advertisement can include radio channel(s) or radio airtime in which advertisement can be delivered. Additionally or alternatively, resources can include at least one of (i) space in on-board displays in the vehicle, such as display of a navigation unit, a dashboard, section(s) of windshield, portion(s) of steering wheel, or a dedicated device, and associated component(s) and circuitry, that manages collection of operation information; or (ii) space in display(s) in the device linked, functionally or otherwise, to the vehicle. In a scenario in which the subject example method is effected for a person as the insured entity, a device that is linked to the person, and in which resources for advertisement are allocated, can be a wearable device or portable device, such as a helmet-mounted display, a head-mounted display (e.g., glasses), a pedometer; a mobile telephone, a media player, or the like. In an alternative or additional scenario in which the subject example method is effected for a house as the insured entity, the device that is linked to the house, and in which resources for advertisement are allocated, can be most any or any electronic or electric appliance that operates in the house and can render information to an end user via, for example, a display screen, a loud speaker or any other mechanism or component that can convey sound, images, or other stimuli that convey information. For instance, the device can be a television set, a radio tuner set, a wireline telephone device with display component(s) (e.g., a display screen), or the like.
  • At 1240, payment is collected from the advertisement platform in exchange for the allocation of resources for advertisement of the product in at least one of the vehicle or device linked thereto. In an aspect, collecting payment includes utilizing one or more models of payment based on feedback or response from an operator or occupant of the vehicle to the advertisement of the product. For instance, at least one of a cost-per-click (CPC) model, a cost-per-gesture (CPG) model, or a cost-per-action (CPA) model can be implemented in which predetermined charges are assessed to the advertisement platform if advertisement is rendered in an on-board vehicle display that allows input (e.g., via touch screen) from an operator or occupant of the vehicle, and an occupant of the vehicle responds to the advertisement through a click or an action. It should be appreciated that, in one or more embodiments, CPC model can be part of a cost-per-gesture (CPG) model in which, for instance, speech or motion response to advertisement (e.g., an operator verbally requests details on advertised product through radio equipment that renders advertisement) can be accounted as feedback to the advertisement and thus incur charges for advertisement platform.
  • At 1250, compensation is received from the advertisement platform if a transaction related to the product is effected as a result of the advertisement of the product in at least one of the vehicle or the device linked thereto. In an aspect, the transaction can be effected during operation of the vehicle and by directing a gesture to a dedicated operator-machine interface in the vehicle for which information on operation is accessed or advertisement is rendered.
  • A service provider (e.g. insurance carrier) that affords insurance benefit(s) for the vehicle can employ at least one of the payment or compensation from the advertisement platform to subsidize insurance benefit(s), e.g., insurance coverage, for the vehicle and thus incentivize specific types of insurance benefit(s), such as real-time or nearly real-time insurance coverage plans. In addition, for the service provider (e.g., insurance carrier), such payment or compensation can mitigate financial risk(s) associated with provision of insurance benefit(s) since the payment or the compensation is a source of revenue that originates from operation of the vehicle, which is the source of risk(s) associated with insurance coverage. Moreover, at least one of payment or compensation can subsidize at least part of cost of specific service(s) utilized by operator(s) or occupant(s) of the vehicle for which information on operation, or performance, of the vehicle is accessed; the specific service(s) can include wireless service, vehicle maintenance or repairs, or the like. In one or more scenarios, subsidies can render the specific service(s) free-of charge through rebates or service vouchers: As an example, insurance carrier or advertisement platform can liquidate at least a portion of cost of delivering mobile instant messages from within the vehicle for which information on operation is accessed. As another example, insurance carrier can pay (e.g., reimburse) expense of routine oil and lube changes for the vehicle for which information on operation is accessed.
  • Referring now to FIG. 13, there is illustrated a block diagram of a computer environment that can execute or implement the disclosed architecture or portion(s) thereof. In order to provide additional context for various aspects disclosed herein, FIG. 13 and the following discussion are intended to provide a brief, general description of a suitable computing environment 1300 in which the various aspects can be implemented. While the one or more aspects have been described above in the general context of computer-executable instructions that may run on one or more computers, those skilled in the art will recognize that the various aspects also can be implemented in combination with other program modules and/or as a combination of hardware and software.
  • Generally, program modules include routines, programs, components, data structures, etc., that perform particular tasks or implement particular abstract data types. Moreover, those skilled in the art will appreciate that the inventive methods can be practiced with other computer system configurations, including single-processor or multiprocessor computer systems, minicomputers, mainframe computers, as well as personal computers, hand-held computing devices, microprocessor-based or programmable consumer electronics, and the like, each of which can be operatively coupled to one or more associated devices.
  • The illustrated aspects may also be practiced in distributed computing environments where certain tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules can be located in both local and remote memory storage devices.
  • A computer typically includes a variety of computer-readable media. Computer-readable media can be any available media that can be accessed by the computer and includes both volatile and nonvolatile media, removable and non-removable media. By way of example, and not limitation, computer-readable media can comprise computer storage media and communication media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital video disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by the computer.
  • Communication media typically embodies computer-readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism, and includes any information delivery media. The term “modulated data signal” means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. By way of example, and not limitation, communication media includes wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media. Combinations of the any of the above should also be included within the scope of computer-readable media.
  • With reference again to FIG. 13, the exemplary environment 1300 for implementing various aspects includes a computer 1302, the computer 1302 including a processing unit 1304, a system memory 1306 and a system bus 1308. The system bus 1308 couples system components including, but not limited to, the system memory 1306 to the processing unit 1304. The processing unit 1304 can be any of various commercially available processors. Dual microprocessors and other multi-processor architectures may also be employed as the processing unit 1304.
  • The system bus 1308 can be any of several types of bus structure that may further interconnect to a memory bus (with or without a memory controller), a peripheral bus, and a local bus using any of a variety of commercially available bus architectures. The system memory 1306 includes read-only memory (ROM) 1310 and random access memory (RAM) 1312. A basic input/output system (BIOS) is stored in a non-volatile memory 1310 such as ROM, EPROM, EEPROM, which BIOS contains the basic routines that help to transfer information between elements within the computer 1302, such as during start-up. The RAM 1312 can also include a high-speed RAM such as static RAM for caching data.
  • The computer 1302 further includes an internal hard disk drive (HDD) 1314 (e.g., EIDE, SATA), which internal hard disk drive 1314 may also be configured for external use in a suitable chassis (not shown), a magnetic floppy disk drive (FDD) 1316, (e.g., to read from or write to a removable diskette 1318) and an optical disk drive 1320, (e.g., reading a CD-ROM disk 1322 or, to read from or write to other high capacity optical media such as the DVD). The hard disk drive 1314, magnetic disk drive 1316 and optical disk drive 1320 can be connected to the system bus 1308 by a hard disk drive interface 1324, a magnetic disk drive interface 1326 and an optical drive interface 1328, respectively. The interface 1324 for external drive implementations includes at least one or both of Universal Serial Bus (USB) and IEEE 1394 interface technologies. Other external drive connection technologies are within contemplation of the one or more aspects.
  • The drives and their associated computer-readable media provide nonvolatile storage of data, data structures, computer-executable instructions, and so forth. For the computer 1302, the drives and media accommodate the storage of any data in a suitable digital format. Although the description of computer-readable media above refers to a HDD, a removable magnetic diskette, and a removable optical media such as a CD or DVD, it should be appreciated by those skilled in the art that other types of media which are readable by a computer, such as zip drives, magnetic cassettes, flash memory cards, cartridges, and the like, may also be used in the exemplary operating environment, and further, that any such media may contain computer-executable instructions for performing the methods disclosed herein.
  • A number of program modules can be stored in the drives and RAM 1312, including an operating system 1330, one or more application programs 1332, other program modules 1334 and program data 1336. All or portions of the operating system, applications, modules, and/or data can also be cached in the RAM 1312. It is appreciated that the various aspects can be implemented with various commercially available operating systems or combinations of operating systems.
  • A user can enter commands and information into the computer 1302 through one or more wired/wireless input devices, e.g., a keyboard 1338 and a pointing device, such as a mouse 1340. Other input devices (not shown) may include a microphone, an IR remote control, a joystick, a game pad, a stylus pen, touch screen, or the like. These and other input devices are often connected to the processing unit 1304 through an input device interface 1342 that is coupled to the system bus 1308, but can be connected by other interfaces, such as a parallel port, an IEEE 1394 serial port, a game port, a USB port, an IR interface, etc.
  • A monitor 1344 or other type of display device is also connected to the system bus 1308 through an interface, such as a video adapter 1346. In addition to the monitor 1344, a computer typically includes other peripheral output devices (not shown), such as speakers, printers, etc.
  • The computer 1302 may operate in a networked environment using logical connections through wired and/or wireless communications to one or more remote computers, such as a remote computer(s) 1348. The remote computer(s) 1348 can be a workstation, a server computer, a router, a personal computer, portable computer, microprocessor-based entertainment appliance, a peer device or other common network node, and typically includes many or all of the elements described relative to the computer 1302, although, for purposes of brevity, only a memory/storage device 1350 is illustrated. The logical connections depicted include wired/wireless connectivity to a local area network (LAN) 1352 and/or larger networks, e.g., a wide area network (WAN) 1354. Such LAN and WAN networking environments are commonplace in offices and companies, and facilitate enterprise-wide computer networks, such as intranets, all of which may connect to a global communications network, e.g., the Internet.
  • When used in a LAN networking environment, the computer 1302 is connected to the local network 1352 through a wired and/or wireless communication network interface or adapter 1356. The adaptor 1356 may facilitate wired or wireless communication to the LAN 1352, which may also include a wireless access point disposed thereon for communicating with the wireless adaptor 1356.
  • When used in a WAN networking environment, the computer 1302 can include a modem 1358, or is connected to a communications server on the WAN 1354, or has other means for establishing communications over the WAN 1354, such as by way of the Internet. The modem 1358, which can be internal or external and a wired or wireless device, is connected to the system bus 1308 through the serial port interface 1342. In a networked environment, program modules depicted relative to the computer 1302, or portions thereof, can be stored in the remote memory/storage device 1350. It will be appreciated that the network connections shown are exemplary and other means of establishing a communications link between the computers can be used.
  • The computer 1302 is operable to communicate with any wireless devices or entities operatively disposed in wireless communication, e.g., a printer, scanner, desktop and/or portable computer, portable data assistant, communications satellite, any piece of equipment or location associated with a wirelessly detectable tag (e.g., a kiosk, news stand), and telephone. This includes at least Wi-Fi and Bluetooth™ wireless technologies. Thus, the communication can be a predefined structure as with a conventional network or simply an ad hoc communication between at least two devices.
  • Wi-Fi, or Wireless Fidelity, allows connection to the Internet from home, in a hotel room, or at work, without wires. Wi-Fi is a wireless technology similar to that used in a cell phone that enables such devices, e.g., computers, to send and receive data indoors and out; anywhere within the range of a base station. Wi-Fi networks use radio technologies called IEEE 802.11(a, b, g, etc.) to provide secure, reliable, fast wireless connectivity. A Wi-Fi network can be used to connect computers to each other, to the Internet, and to wired networks (which use IEEE 802.3 or Ethernet). Wi-Fi networks operate in the unlicensed 2.4 and 5 GHz radio bands, at an 11 Mbps (802.11a) or 54 Mbps (802.11b) data rate, for example, or with products that contain both bands (dual band), so the networks can provide real-world performance similar to the basic 10BaseT wired Ethernet networks used in many offices.
  • Referring now to FIG. 14, there is illustrated a schematic block diagram of an exemplary computing environment 1400 in accordance with the various aspects. The system 1400 includes one or more client(s) 1402. The client(s) 1402 can be hardware and/or software (e.g., threads, processes, computing devices). The client(s) 1402 can house cookie(s) and/or associated contextual information by employing the various aspects, for example.
  • The system 1400 also includes one or more server(s) 1404. The server(s) 1404 can also be hardware and/or software (e.g., threads, processes, computing devices). The servers 1404 can house threads to perform transformations by employing the various aspects, for example. One possible communication between a client 1402 and a server 1404 can be in the form of a data packet adapted to be transmitted between two or more computer processes. The data packet may include a cookie and/or associated contextual information, for example. The system 1400 includes a communication framework 1406 (e.g., a global communication network such as the Internet) that can be employed to facilitate communications between the client(s) 1402 and the server(s) 1404.
  • Communications can be facilitated through a wired (including optical fiber) and/or wireless technology. The client(s) 1402 are operatively connected to one or more client data store(s) 1408 that can be employed to store information local to the client(s) 1402 (e.g., cookie(s) and/or associated contextual information). Similarly, the server(s) 1404 are operatively connected to one or more server data store(s) 1410 that can be employed to store information local to the servers 1404.
  • What has been described above includes examples of the various aspects. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the various aspects, but one of ordinary skill in the art may recognize that many further combinations and permutations are possible. Accordingly, the subject specification intended to embrace all such alterations, modifications, and variations.
  • In particular and in regard to the various functions performed by the above described components, devices, circuits, systems and the like, the terms (including a reference to a “means”) used to describe such components are intended to correspond, unless otherwise indicated, to any component which performs the specified function of the described component (e.g., a functional equivalent), even though not structurally equivalent to the disclosed structure, which performs the function in the herein illustrated exemplary aspects. In this regard, it will also be recognized that the various aspects include a system as well as a computer-readable medium having computer-executable instructions for performing the acts, blocks and/or events of the various methods.
  • In addition, while a particular feature may have been disclosed with respect to only one of several implementations, such feature may be combined with one or more other features of the other implementations as may be desired and advantageous for any given or particular application. To the extent that the terms “includes,” and “including” and variants thereof are used in either the detailed description or the claims, these terms are intended to be inclusive in a manner similar to the term “comprising.”
  • The term “or” as used in either the detailed description or the claims is intended to mean an inclusive “or” rather than an exclusive “or”. That is, unless specified otherwise, or clear from the context, the phrase “X employs A or B” is intended to mean any of the natural inclusive permutations. That is, the phrase “X employs A or B” is satisfied by any of the following instances: X employs A; X employs B; or X employs both A and B. In addition, the articles “a” and “an” as used in this application and the appended claims should generally be construed to mean “one or more” unless specified otherwise or clear from the context to be directed to a singular form.
  • In the subject specification and annexed drawings, terms such as “store,” “data store,” data storage,” “database,” and substantially any other information storage component relevant to operation and functionality of a component, refer to “memory components,” or entities embodied in a “memory” or components comprising the memory. It will be appreciated that the memory components described herein can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. Moreover, a memory component can be affixed to a disparate component or removable there from.
  • Furthermore, the one or more aspects may be implemented as a method, apparatus, or article of manufacture using standard programming and/or engineering techniques to produce software, firmware, hardware, or any combination thereof to control a computer to implement the disclosed aspects. The term “article of manufacture” (or alternatively, “computer program product”) as used herein is intended to encompass a computer program accessible from any computer-readable device, carrier, or media. For example, computer readable media can include but are not limited to magnetic storage devices (e.g., hard disk, floppy disk, magnetic strips . . . ), optical disks (e.g., compact disk (CD), digital versatile disk (DVD) . . . ), smart cards, and flash memory devices (e.g., card, stick). Additionally it should be appreciated that a carrier wave can be employed to carry computer-readable electronic data such as those used in transmitting and receiving electronic mail or in accessing a network such as the Internet or a local area network (LAN). Of course, those skilled in the art will recognize many modifications may be made to this configuration without departing from the scope of the disclosed aspects.

Claims (20)

1. A system, comprising:
a collection component that receives information on performance of a vehicle;
a transaction component that commits an agreement to supply at least a portion of the information on performance of the vehicle in exchange of financial compensation;
a benefit generation component that supplies at least the portion of information on performance of the vehicle in accordance with the agreement; and
a billing component that receives the financial compensation, wherein the financial compensation is regulated at least in part by the agreement.
2. The system of claim 1, wherein a third-party network component receives at least the portion of the information on performance of the vehicle and delivers at least a part of the financial compensation.
3. The system of claim 1, wherein, to commit the agreement, the transaction component configures a firmware of software application that implements one or more terms of the agreement.
4. The system of claim 3, wherein the one or more terms of the agreement regulate at least one of the scope of information on performance of the vehicle that is supplied, delivery of the information on performance of the vehicle that is supplied, duration of the agreement, or termination clause(s).
5. The system of claim 3, wherein the one or more terms of the agreement determine one or more allocations of resources for advertisement in at least one of the vehicle or a device linked thereto.
6. The system of claim 5, wherein the transaction component allocates resources for advertisement of a product or service in at least one of the vehicle or the device linked thereto in accordance with the one or more terms of the agreement.
7. The system of claim 3, wherein the one or more terms of the agreement regulate at least part of a billing feature of the agreement, the billing feature is at least one of a billing model, a billing cycles, or at least one promotional term.
8. The system of claim 7, wherein the billing component effects the billing model, the billing model is based on response of at least one of a beneficiary of an insurance benefit for the vehicle or an agent associated therewith to an advertisement impression.
9. The system of claim 8, wherein the benefit generation component that issues advertisement content that is at least part of the advertisement impression, wherein the content comprises a set of incentive offers associated with the insurance benefit for the vehicle based in part on at least one of the information on performance of the vehicle and available historical information on performance of the vehicle.
10. The system of claim 1, wherein the collection component receives an indication of acceptance of an incentive offer and effects at least one term thereof, the at least one term includes updates to an insurance benefit for the vehicle to reflect a discount, or increased or decreased coverage and an associated revised insurance benefit rate; or an incentive or a promotional materials.
11. A method, comprising:
employing at least a computer processor to execute code instructions retained in a computer-readable medium, the executed code instructions implement the following acts:
collecting information on operation of a vehicle;
committing an agreement to supply at least a portion of the collected information in exchange for financial compensation;
conveying at least the portion of the information in accordance with the agreement; and
securing the financial compensation base on at least the portion of the information or the agreement.
12. The method of claim 11, wherein the securing act includes:
allocating resources for advertisement of a product in at least one of the vehicle of a device linked thereto; and
collecting payment from the advertisement platform in exchange for the allocating resources for advertisement of the product in at least one of the vehicle or the device linked thereto.
13. The method of claim 12, the securing act further comprising: receiving compensation from the advertisement platform if a transaction related to the product is effected as a result of advertisement of the product in at least one of the vehicle or the device linked thereto.
14. The method of claim 13, wherein the advertisement platform is part of at least one of a service provider platform that furnishes insurance benefit(s) for the vehicle entity, or a third-party network functionally coupled to the service provider platform.
15. The method of claim 13, wherein the device is at least one of an integrated device in the vehicle, an add-one device in the vehicle, or an electronic appliance utilized by an operator or occupant of the vehicle.
16. The method of claim 15, wherein at least one of the integrated device in the vehicle, the add-on device, or the electronic appliance renders information to the operator or occupant of the vehicle via at least a component that supplies sound, images, or stimuli that convey information.
17. The method of claim 11, wherein the resources for advertisement include at least one of:
radio channel(s) or radio airtime in which advertisement can be delivered;
space in on-board displays in the vehicle; or
space in display(s) in the device linked to the vehicle.
18. The method of claim 11, the collecting act includes utilizing one or more models of payment based on feedback or response from an operator or occupant of the vehicle to the advertisement of the product, wherein the one or more models of payment include at least one of a cost-per-click model, a cost-per-gesture model, or a cost-per-action model.
19. The method of claim 13, wherein at least one of payment or compensation subsidizes at least one of insurance coverage for the vehicle, or at least part of cost of a specific service utilized by an operator or occupant of the vehicle, the specific service includes at least one of wireless service or vehicle maintenance.
20. A system, comprising:
means for receiving one or more records of performance of a vehicle;
means for committing an agreement to supply at least a portion of the one or more records of performance of the vehicle in exchange of financial compensation;
means for delivering at least the portion of the one or more records of performance of the vehicle in accordance with the agreement; and
means for receiving the financial compensation, wherein the financial compensation is regulated at least in part by the agreement.
US12/624,366 2008-11-26 2009-11-23 Monetization of performance information of an insured vehicle Abandoned US20100131307A1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
US12/624,366 US20100131307A1 (en) 2008-11-26 2009-11-23 Monetization of performance information of an insured vehicle
PCT/US2009/065730 WO2010062899A1 (en) 2008-11-26 2009-11-24 Dynamic insurance customization and adoption

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US11840008P 2008-11-26 2008-11-26
US12/624,366 US20100131307A1 (en) 2008-11-26 2009-11-23 Monetization of performance information of an insured vehicle

Publications (1)

Publication Number Publication Date
US20100131307A1 true US20100131307A1 (en) 2010-05-27

Family

ID=42197144

Family Applications (15)

Application Number Title Priority Date Filing Date
US12/395,342 Abandoned US20100131300A1 (en) 2008-11-26 2009-02-27 Visible insurance
US12/490,033 Abandoned US20100131301A1 (en) 2008-11-26 2009-06-23 Insurance vertical market specialization
US12/498,446 Abandoned US20100131302A1 (en) 2008-11-26 2009-07-07 Insurance vertical market specialization
US12/536,999 Abandoned US20100131303A1 (en) 2008-11-26 2009-08-06 Dynamic insurance rates
US12/547,800 Abandoned US20100131304A1 (en) 2008-11-26 2009-08-26 Real time insurance generation
US12/612,958 Expired - Fee Related US8620692B2 (en) 2008-11-26 2009-11-05 Insurance visibility
US12/624,371 Expired - Fee Related US8255275B2 (en) 2008-11-26 2009-11-23 Incentivized adoption of time-dependent insurance benefits
US12/624,366 Abandoned US20100131307A1 (en) 2008-11-26 2009-11-23 Monetization of performance information of an insured vehicle
US13/529,866 Expired - Fee Related US8484113B2 (en) 2008-11-26 2012-06-21 Incentivized adoption of time-dependent insurance benefits
US13/933,043 Abandoned US20130297418A1 (en) 2008-11-26 2013-07-01 Incentivized adoption of time-dependent insurance benefits
US14/101,208 Abandoned US20140100892A1 (en) 2008-11-26 2013-12-09 Insurance visibility
US14/805,164 Abandoned US20150324928A1 (en) 2008-11-26 2015-07-21 Insurance vertical market specialization
US14/805,133 Expired - Fee Related US9996884B2 (en) 2008-11-26 2015-07-21 Visible insurance
US14/816,725 Abandoned US20150339780A1 (en) 2008-11-26 2015-08-03 Insurance vertical market specialization
US15/977,193 Abandoned US20180260908A1 (en) 2008-11-26 2018-05-11 Visible insurance

Family Applications Before (7)

Application Number Title Priority Date Filing Date
US12/395,342 Abandoned US20100131300A1 (en) 2008-11-26 2009-02-27 Visible insurance
US12/490,033 Abandoned US20100131301A1 (en) 2008-11-26 2009-06-23 Insurance vertical market specialization
US12/498,446 Abandoned US20100131302A1 (en) 2008-11-26 2009-07-07 Insurance vertical market specialization
US12/536,999 Abandoned US20100131303A1 (en) 2008-11-26 2009-08-06 Dynamic insurance rates
US12/547,800 Abandoned US20100131304A1 (en) 2008-11-26 2009-08-26 Real time insurance generation
US12/612,958 Expired - Fee Related US8620692B2 (en) 2008-11-26 2009-11-05 Insurance visibility
US12/624,371 Expired - Fee Related US8255275B2 (en) 2008-11-26 2009-11-23 Incentivized adoption of time-dependent insurance benefits

Family Applications After (7)

Application Number Title Priority Date Filing Date
US13/529,866 Expired - Fee Related US8484113B2 (en) 2008-11-26 2012-06-21 Incentivized adoption of time-dependent insurance benefits
US13/933,043 Abandoned US20130297418A1 (en) 2008-11-26 2013-07-01 Incentivized adoption of time-dependent insurance benefits
US14/101,208 Abandoned US20140100892A1 (en) 2008-11-26 2013-12-09 Insurance visibility
US14/805,164 Abandoned US20150324928A1 (en) 2008-11-26 2015-07-21 Insurance vertical market specialization
US14/805,133 Expired - Fee Related US9996884B2 (en) 2008-11-26 2015-07-21 Visible insurance
US14/816,725 Abandoned US20150339780A1 (en) 2008-11-26 2015-08-03 Insurance vertical market specialization
US15/977,193 Abandoned US20180260908A1 (en) 2008-11-26 2018-05-11 Visible insurance

Country Status (2)

Country Link
US (15) US20100131300A1 (en)
WO (1) WO2010062899A1 (en)

Cited By (64)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100268591A1 (en) * 2009-04-16 2010-10-21 Xerox Corporation System and method for selectively controlling the use of functionality in one or more multifunction devices and subsidizing their use through advertisements
US20110082712A1 (en) * 2009-10-01 2011-04-07 DecisionQ Corporation Application of bayesian networks to patient screening and treatment
US20110082746A1 (en) * 2009-10-06 2011-04-07 Christopher Rice Systems and Methods for Providing Location Based Promotions and Feedback Services
US20120150758A1 (en) * 2010-12-14 2012-06-14 Elwha LLC, a limited liability corporation of the State of Delaware Efficiency of use of a common product
US20120150551A1 (en) * 2010-12-14 2012-06-14 Elwha LLC, a limited liability corporation of the State of Delaware Efficiency of use of a shared product
US20130302758A1 (en) * 2010-12-15 2013-11-14 Andrew William Wright Method and system for logging vehicle behavior
US20130311036A1 (en) * 2012-05-17 2013-11-21 Ford Global Technologies, Llc Method and Apparatus for Interactive Vehicular Advertising
US8595037B1 (en) * 2012-05-08 2013-11-26 Elwha Llc Systems and methods for insurance based on monitored characteristics of an autonomous drive mode selection system
WO2014011556A1 (en) * 2012-07-09 2014-01-16 Elwha Llc Systems and methods for vehicle monitoring
US20150015479A1 (en) * 2013-07-15 2015-01-15 Lg Electronics Inc. Mobile terminal and control method thereof
US9000903B2 (en) 2012-07-09 2015-04-07 Elwha Llc Systems and methods for vehicle monitoring
US20150213519A1 (en) * 2014-01-28 2015-07-30 Nissan North America, Inc. Method and device for determining vehicle condition based on non-operational factors
WO2012110974A3 (en) * 2011-02-16 2015-08-06 Discovery Holdings Limited A method of managing an insurance plan and a system therefor
US9165469B2 (en) 2012-07-09 2015-10-20 Elwha Llc Systems and methods for coordinating sensor operation for collision detection
US9230442B2 (en) 2013-07-31 2016-01-05 Elwha Llc Systems and methods for adaptive vehicle sensing systems
US9269268B2 (en) 2013-07-31 2016-02-23 Elwha Llc Systems and methods for adaptive vehicle sensing systems
US20160078694A1 (en) * 2014-09-14 2016-03-17 Crown Equipment Corporation Dynamic industrial vehicle measure
US9558667B2 (en) 2012-07-09 2017-01-31 Elwha Llc Systems and methods for cooperative collision detection
US9646428B1 (en) 2014-05-20 2017-05-09 State Farm Mutual Automobile Insurance Company Accident response using autonomous vehicle monitoring
US20170221149A1 (en) * 2016-02-02 2017-08-03 Allstate Insurance Company Subjective route risk mapping and mitigation
US9776632B2 (en) 2013-07-31 2017-10-03 Elwha Llc Systems and methods for adaptive vehicle sensing systems
US9786154B1 (en) 2014-07-21 2017-10-10 State Farm Mutual Automobile Insurance Company Methods of facilitating emergency assistance
US9805601B1 (en) 2015-08-28 2017-10-31 State Farm Mutual Automobile Insurance Company Vehicular traffic alerts for avoidance of abnormal traffic conditions
US9818158B1 (en) 2013-08-16 2017-11-14 United Services Automobile Association (Usaa) Utilizing credit and informatic data for insurance underwriting purposes
US9830665B1 (en) * 2014-11-14 2017-11-28 United Services Automobile Association Telematics system, apparatus and method
US9940834B1 (en) 2016-01-22 2018-04-10 State Farm Mutual Automobile Insurance Company Autonomous vehicle application
US9944282B1 (en) 2014-11-13 2018-04-17 State Farm Mutual Automobile Insurance Company Autonomous vehicle automatic parking
US9972054B1 (en) 2014-05-20 2018-05-15 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US10037579B2 (en) 2007-05-10 2018-07-31 Allstate Insurance Company Route risk mitigation
US10042359B1 (en) 2016-01-22 2018-08-07 State Farm Mutual Automobile Insurance Company Autonomous vehicle refueling
US10096067B1 (en) 2014-01-24 2018-10-09 Allstate Insurance Company Reward system related to a vehicle-to-vehicle communication system
US10096038B2 (en) 2007-05-10 2018-10-09 Allstate Insurance Company Road segment safety rating system
US10134278B1 (en) 2016-01-22 2018-11-20 State Farm Mutual Automobile Insurance Company Autonomous vehicle application
US10157422B2 (en) 2007-05-10 2018-12-18 Allstate Insurance Company Road segment safety rating
US10169771B1 (en) 2014-01-10 2019-01-01 United Services Automobile Association (Usaa) System and method to provide savings based on reduced energy consumption
US10185999B1 (en) 2014-05-20 2019-01-22 State Farm Mutual Automobile Insurance Company Autonomous feature use monitoring and telematics
US10319039B1 (en) 2014-05-20 2019-06-11 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US10324463B1 (en) 2016-01-22 2019-06-18 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation adjustment based upon route
US10373259B1 (en) 2014-05-20 2019-08-06 State Farm Mutual Automobile Insurance Company Fully autonomous vehicle insurance pricing
US10395332B1 (en) 2016-01-22 2019-08-27 State Farm Mutual Automobile Insurance Company Coordinated autonomous vehicle automatic area scanning
US10489863B1 (en) 2015-05-27 2019-11-26 United Services Automobile Association (Usaa) Roof inspection systems and methods
US10599155B1 (en) 2014-05-20 2020-03-24 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature monitoring and evaluation of effectiveness
US10614525B1 (en) 2014-03-05 2020-04-07 United Services Automobile Association (Usaa) Utilizing credit and informatic data for insurance underwriting purposes
US10664918B1 (en) 2014-01-24 2020-05-26 Allstate Insurance Company Insurance system related to a vehicle-to-vehicle communication system
US10668930B1 (en) * 2019-02-04 2020-06-02 State Farm Mutual Automobile Insurance Company Determining acceptable driving behavior based on vehicle specific characteristics
US10713726B1 (en) 2013-01-13 2020-07-14 United Services Automobile Association (Usaa) Determining insurance policy modifications using informatic sensor data
US10733673B1 (en) 2014-01-24 2020-08-04 Allstate Insurance Company Reward system related to a vehicle-to-vehicle communication system
US10783587B1 (en) 2014-02-19 2020-09-22 Allstate Insurance Company Determining a driver score based on the driver's response to autonomous features of a vehicle
US10783586B1 (en) 2014-02-19 2020-09-22 Allstate Insurance Company Determining a property of an insurance policy based on the density of vehicles
US10796369B1 (en) 2014-02-19 2020-10-06 Allstate Insurance Company Determining a property of an insurance policy based on the level of autonomy of a vehicle
US10803525B1 (en) 2014-02-19 2020-10-13 Allstate Insurance Company Determining a property of an insurance policy based on the autonomous features of a vehicle
US10956983B1 (en) 2014-02-19 2021-03-23 Allstate Insurance Company Insurance system for analysis of autonomous driving
US10991049B1 (en) 2014-09-23 2021-04-27 United Services Automobile Association (Usaa) Systems and methods for acquiring insurance related informatics
US11087404B1 (en) 2014-01-10 2021-08-10 United Services Automobile Association (Usaa) Electronic sensor management
US11107175B2 (en) * 2019-11-12 2021-08-31 Here Global B.V. Method, apparatus, and system for providing ride-sharing functions based on joint motion
US11127084B1 (en) * 2014-05-08 2021-09-21 State Farm Mutual Automobile Insurance Company Systems and methods for identifying and assessing location-based risks for vehicles
US11242051B1 (en) 2016-01-22 2022-02-08 State Farm Mutual Automobile Insurance Company Autonomous vehicle action communications
US11416941B1 (en) 2014-01-10 2022-08-16 United Services Automobile Association (Usaa) Electronic sensor management
US11441916B1 (en) 2016-01-22 2022-09-13 State Farm Mutual Automobile Insurance Company Autonomous vehicle trip routing
US11565695B2 (en) 2007-05-10 2023-01-31 Arity International Limited Route risk mitigation
US11669090B2 (en) 2014-05-20 2023-06-06 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature monitoring and evaluation of effectiveness
US11719545B2 (en) 2016-01-22 2023-08-08 Hyundai Motor Company Autonomous vehicle component damage and salvage assessment
US11847666B1 (en) 2014-02-24 2023-12-19 United Services Automobile Association (Usaa) Determining status of building modifications using informatics sensor data
US11954482B2 (en) 2022-10-11 2024-04-09 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection

Families Citing this family (403)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2531662C (en) 2003-07-07 2016-04-26 Sensomatix Ltd. Traffic information system
US7650509B1 (en) 2004-01-28 2010-01-19 Gordon & Howard Associates, Inc. Encoding data in a password
US20070194881A1 (en) 2006-02-07 2007-08-23 Schwarz Stanley G Enforcing payment schedules
US9067565B2 (en) * 2006-05-22 2015-06-30 Inthinc Technology Solutions, Inc. System and method for evaluating driver behavior
US7859392B2 (en) 2006-05-22 2010-12-28 Iwi, Inc. System and method for monitoring and updating speed-by-street data
US9129460B2 (en) 2007-06-25 2015-09-08 Inthinc Technology Solutions, Inc. System and method for monitoring and improving driver behavior
US9117246B2 (en) * 2007-07-17 2015-08-25 Inthinc Technology Solutions, Inc. System and method for providing a user interface for vehicle mentoring system users and insurers
US8818618B2 (en) 2007-07-17 2014-08-26 Inthinc Technology Solutions, Inc. System and method for providing a user interface for vehicle monitoring system users and insurers
EP2947592B1 (en) 2007-09-24 2021-10-27 Apple Inc. Embedded authentication systems in an electronic device
US8600120B2 (en) 2008-01-03 2013-12-03 Apple Inc. Personal computing device control using face detection and recognition
US8488573B2 (en) * 2008-02-27 2013-07-16 Midwest Telecom Of America, Inc. Apparatus and method for delivering public switched telephone network service and broadband internet access
US11482058B2 (en) 2008-09-09 2022-10-25 United Parcel Service Of America, Inc. Systems and methods for utilizing telematics data to improve fleet management operations
US8416067B2 (en) 2008-09-09 2013-04-09 United Parcel Service Of America, Inc. Systems and methods for utilizing telematics data to improve fleet management operations
US8054168B2 (en) * 2009-02-27 2011-11-08 General Motors Llc System and method for estimating an emergency level of a vehicular accident
US9928552B1 (en) * 2009-03-13 2018-03-27 New York Life Insurance Company Methods and systems for insurance investment product decision modeling
US9727920B1 (en) * 2009-03-16 2017-08-08 United Services Automobile Association (Usaa) Insurance policy management using telematics
AU2010101547A4 (en) * 2009-05-29 2016-12-22 Quanis Licensing Limited Variable life protection based on dynamic inputs
US9916625B2 (en) * 2012-02-02 2018-03-13 Progressive Casualty Insurance Company Mobile insurance platform system
US9616849B1 (en) * 2009-06-26 2017-04-11 United Services Automobile Association Systems and methods for providing driving insurance for an individual driver
US10387965B1 (en) 2009-07-09 2019-08-20 United Services Automobile Association (Usaa) Systems and methods for alternate location of a vehicle
US9386447B2 (en) 2009-07-21 2016-07-05 Scott Ferrill Tibbitts Method and system for controlling a mobile communication device
US8761821B2 (en) 2009-07-21 2014-06-24 Katasi Llc Method and system for controlling a mobile communication device in a moving vehicle
US9615213B2 (en) 2009-07-21 2017-04-04 Katasi Llc Method and system for controlling and modifying driving behaviors
US9073554B2 (en) * 2009-07-29 2015-07-07 The Invention Science Fund I, Llc Systems and methods for providing selective control of a vehicle operational mode
US20110029189A1 (en) * 2009-07-29 2011-02-03 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Promotional correlation with selective vehicle modes
US9123049B2 (en) * 2009-07-29 2015-09-01 The Invention Science Fund I, Llc Promotional correlation with selective vehicle modes
US9008956B2 (en) * 2009-07-29 2015-04-14 The Invention Science Fund I, Llc Promotional correlation with selective vehicle modes
US8751059B2 (en) 2009-09-29 2014-06-10 The Invention Science Fund I, Llc Selective implementation of an optional vehicle mode
US8751058B2 (en) 2009-09-29 2014-06-10 The Invention Science Fund I, Llc Selective implementation of an optional vehicle mode
US20110145023A1 (en) * 2009-12-14 2011-06-16 Unitrin Direct Insurance Company System and Method for Incentivizing Insurance Participation Utilizing Social Networking Systems
US9558520B2 (en) * 2009-12-31 2017-01-31 Hartford Fire Insurance Company System and method for geocoded insurance processing using mobile devices
US8805707B2 (en) 2009-12-31 2014-08-12 Hartford Fire Insurance Company Systems and methods for providing a safety score associated with a user location
US20120010906A1 (en) * 2010-02-09 2012-01-12 At&T Mobility Ii Llc System And Method For The Collection And Monitoring Of Vehicle Data
US20120004933A1 (en) * 2010-02-09 2012-01-05 At&T Mobility Ii Llc System And Method For The Collection And Monitoring Of Vehicle Data
US20110196571A1 (en) * 2010-02-09 2011-08-11 At&T Mobility Ii Llc System And Method For The Collection And Monitoring Of Vehicle Data
US9097891B2 (en) 2010-02-28 2015-08-04 Microsoft Technology Licensing, Llc See-through near-eye display glasses including an auto-brightness control for the display brightness based on the brightness in the environment
US9134534B2 (en) 2010-02-28 2015-09-15 Microsoft Technology Licensing, Llc See-through near-eye display glasses including a modular image source
US9128281B2 (en) 2010-09-14 2015-09-08 Microsoft Technology Licensing, Llc Eyepiece with uniformly illuminated reflective display
US20150309316A1 (en) 2011-04-06 2015-10-29 Microsoft Technology Licensing, Llc Ar glasses with predictive control of external device based on event input
US20120249797A1 (en) 2010-02-28 2012-10-04 Osterhout Group, Inc. Head-worn adaptive display
US9097890B2 (en) 2010-02-28 2015-08-04 Microsoft Technology Licensing, Llc Grating in a light transmissive illumination system for see-through near-eye display glasses
US9759917B2 (en) 2010-02-28 2017-09-12 Microsoft Technology Licensing, Llc AR glasses with event and sensor triggered AR eyepiece interface to external devices
US9091851B2 (en) 2010-02-28 2015-07-28 Microsoft Technology Licensing, Llc Light control in head mounted displays
US8488246B2 (en) 2010-02-28 2013-07-16 Osterhout Group, Inc. See-through near-eye display glasses including a curved polarizing film in the image source, a partially reflective, partially transmitting optical element and an optically flat film
US8477425B2 (en) 2010-02-28 2013-07-02 Osterhout Group, Inc. See-through near-eye display glasses including a partially reflective, partially transmitting optical element
US9366862B2 (en) 2010-02-28 2016-06-14 Microsoft Technology Licensing, Llc System and method for delivering content to a group of see-through near eye display eyepieces
US10180572B2 (en) 2010-02-28 2019-01-15 Microsoft Technology Licensing, Llc AR glasses with event and user action control of external applications
US8472120B2 (en) 2010-02-28 2013-06-25 Osterhout Group, Inc. See-through near-eye display glasses with a small scale image source
US8467133B2 (en) 2010-02-28 2013-06-18 Osterhout Group, Inc. See-through display with an optical assembly including a wedge-shaped illumination system
US9285589B2 (en) 2010-02-28 2016-03-15 Microsoft Technology Licensing, Llc AR glasses with event and sensor triggered control of AR eyepiece applications
US20120200601A1 (en) * 2010-02-28 2012-08-09 Osterhout Group, Inc. Ar glasses with state triggered eye control interaction with advertising facility
US8482859B2 (en) 2010-02-28 2013-07-09 Osterhout Group, Inc. See-through near-eye display glasses wherein image light is transmitted to and reflected from an optically flat film
US9229227B2 (en) 2010-02-28 2016-01-05 Microsoft Technology Licensing, Llc See-through near-eye display glasses with a light transmissive wedge shaped illumination system
US9129295B2 (en) 2010-02-28 2015-09-08 Microsoft Technology Licensing, Llc See-through near-eye display glasses with a fast response photochromic film system for quick transition from dark to clear
US9182596B2 (en) 2010-02-28 2015-11-10 Microsoft Technology Licensing, Llc See-through near-eye display glasses with the optical assembly including absorptive polarizers or anti-reflective coatings to reduce stray light
EP2539759A1 (en) 2010-02-28 2013-01-02 Osterhout Group, Inc. Local advertising content on an interactive head-mounted eyepiece
US9223134B2 (en) 2010-02-28 2015-12-29 Microsoft Technology Licensing, Llc Optical imperfections in a light transmissive illumination system for see-through near-eye display glasses
US9341843B2 (en) 2010-02-28 2016-05-17 Microsoft Technology Licensing, Llc See-through near-eye display glasses with a small scale image source
US20120072243A1 (en) * 2010-05-17 2012-03-22 The Travelers Companies, Inc. Monitoring customer-selected vehicle parameters
US9460471B2 (en) * 2010-07-16 2016-10-04 Hartford Fire Insurance Company System and method for an automated validation system
US8489433B2 (en) * 2010-07-29 2013-07-16 Insurance Services Office, Inc. System and method for estimating loss propensity of an insured vehicle and providing driving information
US20120084103A1 (en) * 2010-07-29 2012-04-05 Alexandra Altieri System and Method for Estimating Loss Costs and Propensity of an Insured Vehicle and Providing Driving Information
US8478697B2 (en) * 2010-09-15 2013-07-02 Yahoo! Inc. Determining whether to provide an advertisement to a user of a social network
US9176924B2 (en) 2011-11-16 2015-11-03 Autoconnect Holdings Llc Method and system for vehicle data collection
US20120095819A1 (en) * 2010-10-14 2012-04-19 Phone Through, Inc. Apparatuses, methods, and computer program products enabling association of related product data and execution of transaction
US8912883B2 (en) * 2010-10-27 2014-12-16 Ncr Corporation Techniques for automating rental car transactions
US20120116822A1 (en) * 2010-11-10 2012-05-10 Ebay Inc. System and method for dynamic pricing of an insurance policy
EP2666138A4 (en) 2011-01-17 2014-08-06 Imetrik Technologies Inc Computer-implemented method and system for reporting a confidence score in relation to a vehicle equipped with a wireless-enabled usage reporting device
US8686864B2 (en) 2011-01-18 2014-04-01 Marwan Hannon Apparatus, system, and method for detecting the presence of an intoxicated driver and controlling the operation of a vehicle
US8718536B2 (en) 2011-01-18 2014-05-06 Marwan Hannon Apparatus, system, and method for detecting the presence and controlling the operation of mobile devices within a vehicle
US9164957B2 (en) 2011-01-24 2015-10-20 Lexisnexis Risk Solutions Inc. Systems and methods for telematics monitoring and communications
US8928495B2 (en) 2011-01-24 2015-01-06 Lexisnexis Risk Solutions Inc. Systems and methods for telematics monitoring and communications
US20120215641A1 (en) * 2011-02-17 2012-08-23 Honda Motor Co., Ltd. System and method for determining destination characteristics of vehicle operators
US20120221188A1 (en) * 2011-02-24 2012-08-30 General Motors Llc Vehicle hmi replacement
US8799028B1 (en) 2011-02-24 2014-08-05 Allstate Insurance Company Social network risk analysis
US8744734B2 (en) * 2011-03-04 2014-06-03 Board of Regents, University of Arizona Active traffic and demand management system
US9208626B2 (en) 2011-03-31 2015-12-08 United Parcel Service Of America, Inc. Systems and methods for segmenting operational data
US9953468B2 (en) 2011-03-31 2018-04-24 United Parcel Service Of America, Inc. Segmenting operational data
US20120295230A1 (en) * 2011-05-20 2012-11-22 Esposito Joseph C Interactive driver's educational video game system and method
US8981995B2 (en) 2011-06-03 2015-03-17 Microsoft Technology Licensing, Llc. Low accuracy positional data by detecting improbable samples
US20120316810A1 (en) * 2011-06-08 2012-12-13 GM Global Technology Operations LLC Battery limit calibration based on battery life and performance optimization
US10977601B2 (en) 2011-06-29 2021-04-13 State Farm Mutual Automobile Insurance Company Systems and methods for controlling the collection of vehicle use data using a mobile device
US20130006674A1 (en) * 2011-06-29 2013-01-03 State Farm Insurance Systems and Methods Using a Mobile Device to Collect Data for Insurance Premiums
US9470529B2 (en) 2011-07-14 2016-10-18 Microsoft Technology Licensing, Llc Activating and deactivating sensors for dead reckoning
US9464903B2 (en) 2011-07-14 2016-10-11 Microsoft Technology Licensing, Llc Crowd sourcing based on dead reckoning
US9082072B1 (en) * 2011-07-14 2015-07-14 Donald K. Wedding, Jr. Method for applying usage based data
US10346786B1 (en) 2011-07-14 2019-07-09 Stephen D. Lakowske Method for applying expert usage based data
US8989089B2 (en) 2011-08-18 2015-03-24 Ofinno Technologies, Llc Automobile data transmission
US8538785B2 (en) 2011-08-19 2013-09-17 Hartford Fire Insurance Company System and method for computing and scoring the complexity of a vehicle trip using geo-spatial information
US8583684B1 (en) * 2011-09-01 2013-11-12 Google Inc. Providing aggregated starting point information
US9002322B2 (en) 2011-09-29 2015-04-07 Apple Inc. Authentication with secondary approver
US8799029B2 (en) * 2011-10-12 2014-08-05 Hartford Fire Insurance Company System and method for automated detection of coverage exceptions based on utility usage data
US8788114B2 (en) 2011-10-26 2014-07-22 Telenav, Inc. Navigation system with compliance reporting and method of operation thereof
US10184798B2 (en) 2011-10-28 2019-01-22 Microsoft Technology Licensing, Llc Multi-stage dead reckoning for crowd sourcing
US8849803B2 (en) 2011-10-31 2014-09-30 International Business Machines Corporation Data collection for usage based insurance
US20130110554A1 (en) * 2011-10-31 2013-05-02 Webcetera, L.P. Policy management system and method
US9349146B2 (en) 2011-12-01 2016-05-24 Hartford Fire Insurance Company Systems and methods to intelligently determine insurance information based on identified businesses
US9429657B2 (en) 2011-12-14 2016-08-30 Microsoft Technology Licensing, Llc Power efficient activation of a device movement sensor module
EP3462403A1 (en) * 2011-12-21 2019-04-03 Scope Technologies Holdings Limited Systems and methods for assessing or monitoring vehicle status or operator behaviour
US8892385B2 (en) 2011-12-21 2014-11-18 Scope Technologies Holdings Limited System and method for use with an accelerometer to determine a frame of reference
US9824064B2 (en) 2011-12-21 2017-11-21 Scope Technologies Holdings Limited System and method for use of pattern recognition in assessing or monitoring vehicle status or operator driving behavior
US20130166326A1 (en) * 2011-12-21 2013-06-27 Scope Technologies Holdings Limited System and method for characterizing driver performance and use in determining insurance coverage
US8509812B2 (en) * 2011-12-27 2013-08-13 Flextronics Ap, Llc Method and system for collecting automobile-related travel data with a smartphone
US20130197947A1 (en) * 2012-01-27 2013-08-01 Jared D. Carillo Method and system for graphically displaying insurance coverage information
US10657597B1 (en) * 2012-02-17 2020-05-19 United Services Automobile Association (Usaa) Systems and methods for dynamic insurance premiums
WO2013126866A1 (en) * 2012-02-24 2013-08-29 B3, Llc Systems and methods for comprehensive insurance loss management and loss minimization
US10104453B2 (en) 2012-03-08 2018-10-16 Husqvarna Ab Equipment data sensor and sensing for fleet management
US10685299B2 (en) 2012-03-08 2020-06-16 Husqvarna Ab Engine speed data usage system and method
ES2740989T3 (en) 2012-03-22 2020-02-07 Tata Consultancy Services Ltd A system and method for an improved car forecast
US10395328B2 (en) 2012-05-01 2019-08-27 Innovation Specialists Llc Virtual professionals community for conducting virtual consultations with suggested professionals
US9990608B2 (en) 2012-05-01 2018-06-05 Innovation Specialists Virtual professionals community for conducting virtual consultations with suggested professionals
US8731768B2 (en) 2012-05-22 2014-05-20 Hartford Fire Insurance Company System and method to provide telematics data on a map display
US20140025401A1 (en) * 2012-07-17 2014-01-23 Peter L. Hagelstein Data acquisition apparatus configured to acquire data for insurance purposes, and related systems and methods
US10360636B1 (en) 2012-08-01 2019-07-23 Allstate Insurance Company System for capturing passenger and trip data for a taxi vehicle
WO2014028377A2 (en) * 2012-08-12 2014-02-20 Insurance Services Office, Inc. Apparatus and method for detecting driving performance data
WO2014031723A2 (en) * 2012-08-21 2014-02-27 Insurance Services Office, Inc. Apparatus and method for analyzing driving performance data
US20140058762A1 (en) * 2012-08-22 2014-02-27 Zubie, Inc. Methods and systems for consumer controlled insurance data management
US9817125B2 (en) 2012-09-07 2017-11-14 Microsoft Technology Licensing, Llc Estimating and predicting structures proximate to a mobile device
US9428052B1 (en) * 2012-09-08 2016-08-30 Towers Watson Software Limited Automated distraction measurement of machine operator
US10223750B1 (en) 2012-09-10 2019-03-05 Allstate Insurance Company Optimized inventory analysis for insurance purposes
US10783584B1 (en) 2012-09-10 2020-09-22 Allstate Insurance Company Recommendation of insurance products based on an inventory analysis
US9081466B2 (en) 2012-09-10 2015-07-14 Sap Se Dynamic chart control that triggers dynamic contextual actions
US9141975B2 (en) 2012-09-23 2015-09-22 Intel Corporation Inferring user risk profile from travel patterns
US9836795B2 (en) * 2012-11-08 2017-12-05 Hartford Fire Insurance Company Computerized system and method for pre-filling of insurance data using third party sources
US20150006023A1 (en) 2012-11-16 2015-01-01 Scope Technologies Holdings Ltd System and method for determination of vheicle accident information
US20140143024A1 (en) * 2012-11-19 2014-05-22 Bank Of America Corporation Transaction cost recovery analytics
US9090234B2 (en) 2012-11-19 2015-07-28 Magna Electronics Inc. Braking control system for vehicle
US20140149148A1 (en) * 2012-11-27 2014-05-29 Terrance Luciani System and method for autonomous insurance selection
US20140149145A1 (en) * 2012-11-29 2014-05-29 State Farm Insurance System and Method for Auto-Calibration and Auto-Correction of Primary and Secondary Motion for Telematics Applications via Wireless Mobile Devices
US9394637B2 (en) 2012-12-13 2016-07-19 Jacob Holm & Sons Ag Method for production of a hydroentangled airlaid web and products obtained therefrom
US20140172466A1 (en) * 2012-12-17 2014-06-19 Innodata Synodex, Llc Shared Medical Data Platform for Insurance Underwriting
US8930269B2 (en) * 2012-12-17 2015-01-06 State Farm Mutual Automobile Insurance Company System and method to adjust insurance rate based on real-time data about potential vehicle operator impairment
US8981942B2 (en) 2012-12-17 2015-03-17 State Farm Mutual Automobile Insurance Company System and method to monitor and reduce vehicle operator impairment
US10657598B2 (en) 2012-12-20 2020-05-19 Scope Technologies Holdings Limited System and method for use of carbon emissions in characterizing driver performance
WO2014105791A1 (en) * 2012-12-24 2014-07-03 Good Travel Software Limited Dynamic risk assessment and peer-to-peer transaction system and method
EP2939031B1 (en) 2012-12-26 2019-01-30 TrueMotion, Inc. Methods and systems for driver identification
US10929496B1 (en) * 2013-01-02 2021-02-23 Lazaro Rodriguez Activate a cross browser platform to enable interfaces
US9665997B2 (en) * 2013-01-08 2017-05-30 Gordon*Howard Associates, Inc. Method and system for providing feedback based on driving behavior
US8799034B1 (en) 2013-03-08 2014-08-05 Allstate University Company Automated accident detection, fault attribution, and claims processing
US10963966B1 (en) 2013-09-27 2021-03-30 Allstate Insurance Company Electronic exchange of insurance information
US9019092B1 (en) 2013-03-08 2015-04-28 Allstate Insurance Company Determining whether a vehicle is parked for automated accident detection, fault attribution, and claims processing
US10032226B1 (en) 2013-03-08 2018-07-24 Allstate Insurance Company Automatic exchange of information in response to a collision event
US9031545B1 (en) 2013-03-08 2015-05-12 Allstate Insurance Company Encouraging safe driving using a remote vehicle starter
US9454786B1 (en) 2013-03-08 2016-09-27 Allstate Insurance Company Encouraging safe driving using a remote vehicle starter and personalized insurance rates
US11068989B2 (en) 2013-03-10 2021-07-20 State Farm Mutual Automobile Insurance Company Adjusting insurance policies based on common driving routes and other risk factors
US9846912B1 (en) * 2013-03-13 2017-12-19 Allstate Insurance Company Risk behavior detection methods based on tracking handset movement within a moving vehicle
US9840229B2 (en) 2013-03-14 2017-12-12 Gordon*Howard Associates, Inc. Methods and systems related to a remote tamper detection
US9035756B2 (en) 2013-03-14 2015-05-19 Gordon*Howard Associates, Inc. Methods and systems related to remote tamper detection
US20140279800A1 (en) * 2013-03-14 2014-09-18 Agincourt Gaming Llc Systems and Methods for Artificial Intelligence Decision Making in a Virtual Environment
US8876535B2 (en) 2013-03-15 2014-11-04 State Farm Mutual Automobile Insurance Company Real-time driver observation and scoring for driver's education
US9959687B2 (en) * 2013-03-15 2018-05-01 John Lindsay Driver behavior monitoring
US8738523B1 (en) 2013-03-15 2014-05-27 State Farm Mutual Automobile Insurance Company Systems and methods to identify and profile a vehicle operator
US9633488B2 (en) * 2013-03-15 2017-04-25 Compagnie Generale Des Etablissements Michelin Methods and apparatus for acquiring, transmitting, and storing vehicle performance information
US10445758B1 (en) 2013-03-15 2019-10-15 Allstate Insurance Company Providing rewards based on driving behaviors detected by a mobile computing device
US9830662B1 (en) * 2013-03-15 2017-11-28 State Farm Mutual Automobile Insurance Company Split sensing method
US9562776B2 (en) 2013-04-23 2017-02-07 Intelligent Mechatronic Systems Inc. Location-based security
US9147353B1 (en) 2013-05-29 2015-09-29 Allstate Insurance Company Driving analysis using vehicle-to-vehicle communication
US9013333B2 (en) 2013-06-24 2015-04-21 Gordon*Howard Associates, Inc. Methods and systems related to time triggered geofencing
US20150004572A1 (en) * 2013-06-26 2015-01-01 Caterpillar Inc. Real-Time Operation-Based Onboard Coaching System
US9053516B2 (en) 2013-07-15 2015-06-09 Jeffrey Stempora Risk assessment using portable devices
WO2015012417A1 (en) 2013-07-25 2015-01-29 Gruppo Potente Ltd Device and method for monitoring vehicles
US9902343B2 (en) 2013-07-31 2018-02-27 Driverdo Llc Digital vehicle tag and method of integration in vehicle allocation system
US10181104B2 (en) 2013-07-31 2019-01-15 Driverdo Llc Allocation system and method of deploying resources
US8666789B1 (en) * 2013-08-02 2014-03-04 State Farm Mutual Automobile Insurance Company Bluetooth device to enable data collection for insurance rating purposes
US8935036B1 (en) * 2013-09-06 2015-01-13 State Farm Mutual Automobile Insurance Company Systems and methods for updating a driving tip model using telematics data
US9898642B2 (en) 2013-09-09 2018-02-20 Apple Inc. Device, method, and graphical user interface for manipulating user interfaces based on fingerprint sensor inputs
US10572943B1 (en) 2013-09-10 2020-02-25 Allstate Insurance Company Maintaining current insurance information at a mobile device
US10949923B1 (en) 2013-09-16 2021-03-16 Allstate Insurance Company Home device sensing
US9443270B1 (en) 2013-09-17 2016-09-13 Allstate Insurance Company Obtaining insurance information in response to optical input
US20150081344A1 (en) * 2013-09-18 2015-03-19 Esurance Insurance Services, Inc. Insurance products for a camera device coupled to a vehicle
US10169821B2 (en) * 2013-09-20 2019-01-01 Elwha Llc Systems and methods for insurance based upon status of vehicle software
US10115164B1 (en) 2013-10-04 2018-10-30 State Farm Mutual Automobile Insurance Company Systems and methods to quantify and differentiate individual insurance risk based on actual driving behavior and driving environment
US9141112B1 (en) 2013-10-16 2015-09-22 Allstate Insurance Company Caravan management
US9262787B2 (en) * 2013-10-18 2016-02-16 State Farm Mutual Automobile Insurance Company Assessing risk using vehicle environment information
US9361650B2 (en) 2013-10-18 2016-06-07 State Farm Mutual Automobile Insurance Company Synchronization of vehicle sensor information
US9892567B2 (en) 2013-10-18 2018-02-13 State Farm Mutual Automobile Insurance Company Vehicle sensor collection of other vehicle information
US8954226B1 (en) 2013-10-18 2015-02-10 State Farm Mutual Automobile Insurance Company Systems and methods for visualizing an accident involving a vehicle
US10395318B2 (en) * 2013-10-24 2019-08-27 Hartford Fire Insurance Company System and method for administering insurance discounts for mobile device disabling technology
EP3063608B1 (en) 2013-10-30 2020-02-12 Apple Inc. Displaying relevant user interface objects
US9401056B2 (en) * 2013-11-19 2016-07-26 At&T Intellectual Property I, L.P. Vehicular simulation
WO2015076915A1 (en) * 2013-11-19 2015-05-28 Mashhur Zarif Haque Allocation system and method of deploying resources
US9805521B1 (en) 2013-12-03 2017-10-31 United Parcel Service Of America, Inc. Systems and methods for assessing turns made by a vehicle
US11182859B2 (en) * 2013-12-04 2021-11-23 State Farm Mutual Automobile Insurance Company Assigning mobile device data to a vehicle
US11257162B1 (en) 2013-12-05 2022-02-22 Allstate Insurance Company Insurance based on driving data
US10692149B1 (en) 2013-12-06 2020-06-23 Allstate Insurance Company Event based insurance model
DE102014118256A1 (en) * 2013-12-10 2015-06-11 Ford Global Technologies, Llc Monitoring a vehicle operation
WO2015094353A1 (en) * 2013-12-20 2015-06-25 Intel Corporation Providing real-time access to resources based on driving record
GB2524870A (en) * 2014-02-04 2015-10-07 Menachem Mendel Sudak Monitoring system and method
GB201401873D0 (en) * 2014-02-04 2014-03-19 Sudak Menachem M Monitoring system and method
US10430887B1 (en) 2014-02-21 2019-10-01 Allstate Insurance Company Device sensing
US10380692B1 (en) 2014-02-21 2019-08-13 Allstate Insurance Company Home device sensing
JP6593974B2 (en) * 2014-02-28 2019-10-23 矢崎エナジーシステム株式会社 Operation evaluation device
US9734685B2 (en) * 2014-03-07 2017-08-15 State Farm Mutual Automobile Insurance Company Vehicle operator emotion management system and method
US10467701B1 (en) 2014-03-10 2019-11-05 Allstate Insurance Company Home event detection and processing
US11809434B1 (en) 2014-03-11 2023-11-07 Applied Underwriters, Inc. Semantic analysis system for ranking search results
US10846295B1 (en) 2019-08-08 2020-11-24 Applied Underwriters, Inc. Semantic analysis system for ranking search results
US11176475B1 (en) 2014-03-11 2021-11-16 Applied Underwriters, Inc. Artificial intelligence system for training a classifier
US9996878B1 (en) 2014-03-11 2018-06-12 Liberty Mutual Insurance Company In-vehicle infotainment insurance applications
US20150269681A1 (en) * 2014-03-18 2015-09-24 Hti Ip, Llc Competitive bidding platform for vehicle insurance
US9135803B1 (en) * 2014-04-17 2015-09-15 State Farm Mutual Automobile Insurance Company Advanced vehicle operator intelligence system
US9283847B2 (en) 2014-05-05 2016-03-15 State Farm Mutual Automobile Insurance Company System and method to monitor and alert vehicle operator of impairment
US11361379B1 (en) 2014-05-12 2022-06-14 Esurance Insurance Services, Inc. Transmitting driving data to an insurance platform
US10304138B2 (en) 2014-05-15 2019-05-28 State Farm Mutual Automobile Insurance Company System and method for identifying primary and secondary movement using spectral domain analysis
US9360322B2 (en) 2014-05-15 2016-06-07 State Farm Mutual Automobile Insurance Company System and method for separating ambient gravitational acceleration from a moving three-axis accelerometer data
US10019762B2 (en) 2014-05-15 2018-07-10 State Farm Mutual Automobile Insurance Company System and method for identifying idling times of a vehicle using accelerometer data
US9786103B2 (en) * 2014-05-15 2017-10-10 State Farm Mutual Automobile Insurance Company System and method for determining driving patterns using telematics data
US9127946B1 (en) 2014-05-15 2015-09-08 State Farm Mutual Automobile Insurance Company System and method for identifying heading of a moving vehicle using accelerometer data
US11127042B2 (en) 2014-05-19 2021-09-21 Allstate Insurance Company Content output systems using vehicle-based data
US10133530B2 (en) 2014-05-19 2018-11-20 Allstate Insurance Company Electronic display systems connected to vehicles and vehicle-based systems
US10423982B2 (en) 2014-05-19 2019-09-24 Allstate Insurance Company Content output systems using vehicle-based data
US9293042B1 (en) * 2014-05-19 2016-03-22 Allstate Insurance Company Electronic display systems connected to vehicles and vehicle-based systems
US9483763B2 (en) * 2014-05-29 2016-11-01 Apple Inc. User interface for payments
US10424036B2 (en) * 2014-06-02 2019-09-24 Uber Technologies, Inc. Maintaining data for use with a transport service during connectivity loss between systems
US10664917B1 (en) 2014-06-20 2020-05-26 Allstate Insurance Company Personalized insurance systems
WO2016005972A1 (en) * 2014-07-08 2016-01-14 Bichacho Matan Behavior dependent insurance
US9628565B2 (en) * 2014-07-23 2017-04-18 Here Global B.V. Highly assisted driving platform
US10066959B2 (en) 2014-09-02 2018-09-04 Apple Inc. User interactions for a mapping application
US9846977B1 (en) * 2014-09-02 2017-12-19 Metromile, Inc. Systems and methods for determining vehicle trip information
US10127737B1 (en) * 2014-10-06 2018-11-13 Allstate Insurance Company Communication system and method for using human telematic data to provide a hazard alarm/notification message to a user in a dynamic environment such as during operation of a vehicle
US10210678B1 (en) * 2014-10-06 2019-02-19 Allstate Insurance Company Communication system and method for using human telematic data to provide a hazard alarm/notification message to a user in a dynamic environment such as during operation of a vehicle
US11574368B1 (en) 2014-10-06 2023-02-07 State Farm Mutual Automobile Insurance Company Risk mitigation for affinity groupings
US9984420B1 (en) * 2014-10-06 2018-05-29 Allstate Insurance Company System and method for determining an insurance premium based on analysis of human telematic data and vehicle telematic data
US10713728B1 (en) 2014-10-06 2020-07-14 State Farm Mutual Automobile Insurance Company Risk mitigation for affinity groupings
US20210358045A1 (en) 2014-10-06 2021-11-18 State Farm Mutual Automobile Insurance Company Medical diagnostic-initiated insurance offering
US9984419B1 (en) * 2014-10-06 2018-05-29 Allstate Insurance Company System and method for determining an insurance premium based on analysis of human telematic data and vehicle telematic data
US20210166320A1 (en) 2014-10-06 2021-06-03 State Farm Mutual Automobile Insurance Company System and method for obtaining and/or maintaining insurance coverage
US9984418B1 (en) * 2014-10-06 2018-05-29 Allstate Insurance Company System and method for determining an insurance premium quote based on human telematic data and structure related telematic data
US10424024B1 (en) * 2014-10-06 2019-09-24 Allstate Insurance Company System and method for determining an insurance premium based on analysis of human telematic data and vehicle telematic data
US10664920B1 (en) 2014-10-06 2020-05-26 State Farm Mutual Automobile Insurance Company Blockchain systems and methods for providing insurance coverage to affinity groups
US10360576B1 (en) 2014-10-09 2019-07-23 Allstate Insurance Company Interactive rewards system for rewarding drivers
US10990938B2 (en) * 2014-11-17 2021-04-27 John Hancock Life Insurance Company (U.S.A.) Methods and systems for implementing dynamic billing
CN104477163B (en) * 2014-11-25 2017-06-20 浙江吉利汽车研究院有限公司 Prevent the control method and control system of fresh driver's maloperation
US20160171617A1 (en) * 2014-12-15 2016-06-16 International Business Machines Corporation Generating real-time insurance alerts from a mobile device
US20160189304A1 (en) * 2014-12-30 2016-06-30 Paypal, Inc. Detection of users and vehicle usage for variable insurance terms
US10713717B1 (en) 2015-01-22 2020-07-14 Allstate Insurance Company Total loss evaluation and handling system and method
US10846799B2 (en) 2015-01-28 2020-11-24 Arity International Limited Interactive dashboard display
US9361599B1 (en) 2015-01-28 2016-06-07 Allstate Insurance Company Risk unit based policies
US9390452B1 (en) 2015-01-28 2016-07-12 Allstate Insurance Company Risk unit based policies
US10817950B1 (en) 2015-01-28 2020-10-27 Arity International Limited Usage-based policies
US10915964B1 (en) 2015-03-03 2021-02-09 Allstate Insurance Company System and method for providing vehicle services based on driving behaviors
JP6773024B2 (en) * 2015-03-06 2020-10-21 ソニー株式会社 Recording device, recording method and computer program
EP3268921A1 (en) * 2015-03-09 2018-01-17 Koninklijke Philips N.V. Incentivizing sharing of wearable technology sensor data
US10810504B1 (en) 2015-03-11 2020-10-20 State Farm Mutual Automobile Insurance Company Route scoring for assessing or predicting driving performance
US10621671B1 (en) * 2015-03-18 2020-04-14 State Farm Mutual Automobile Insurance Company Broadcasting vehicle and insurance information to mobile devices in the vicinity of a vehicle
US10876859B2 (en) 2015-04-09 2020-12-29 Appy Risk Technologies Limited Opportunistic calibration of a smartphone orientation in a vehicle
US10083551B1 (en) 2015-04-13 2018-09-25 Allstate Insurance Company Automatic crash detection
US9767625B1 (en) 2015-04-13 2017-09-19 Allstate Insurance Company Automatic crash detection
EP3091498A1 (en) 2015-05-07 2016-11-09 TrueMotion, Inc. Motion detection system for transportation mode analysis
US20160334225A1 (en) 2015-05-11 2016-11-17 United Parcel Service Of America, Inc. Determining street segment headings
US20160358133A1 (en) 2015-06-05 2016-12-08 Apple Inc. User interface for loyalty accounts and private label accounts for a wearable device
US9940637B2 (en) 2015-06-05 2018-04-10 Apple Inc. User interface for loyalty accounts and private label accounts
US10565593B1 (en) 2015-06-11 2020-02-18 Allstate Insurance Company System and method for accumulation and maintenance of money in a vehicle maintenance savings account
US20170011465A1 (en) * 2015-07-08 2017-01-12 Here Global B.V. Method and apparatus for providing fee rate based on safety score
JP2018522239A (en) 2015-07-14 2018-08-09 ドライビング マネージメント システムズ, インコーポレイテッド Phone location detection using RF radio and ultrasound signals
US10252727B1 (en) 2015-09-04 2019-04-09 United Services Automobile Association (Usaa) Systems and methods for configuring a vehicle
US9587952B1 (en) * 2015-09-09 2017-03-07 Allstate Insurance Company Altering autonomous or semi-autonomous vehicle operation based on route traversal values
WO2017049137A1 (en) 2015-09-17 2017-03-23 Truemotion, Inc. Systems and methods for detecting and assessing distracted drivers
US11307042B2 (en) 2015-09-24 2022-04-19 Allstate Insurance Company Three-dimensional risk maps
US10997663B1 (en) 2015-09-29 2021-05-04 State Farm Mutual Automobile Insurance Company Proactive weather event communication system and method
US9892464B2 (en) 2015-10-08 2018-02-13 Blackbird Holdings, LLC System and method of real time detection of aerial vehicle flight patterns and insurance policy updates
US10176524B1 (en) 2015-10-26 2019-01-08 Allstate Insurance Company Vehicle-to-vehicle incident information collection
US10346446B2 (en) * 2015-11-02 2019-07-09 Radiant Geospatial Solutions Llc System and method for aggregating multi-source data and identifying geographic areas for data acquisition
US10692126B2 (en) 2015-11-17 2020-06-23 Nio Usa, Inc. Network-based system for selling and servicing cars
US10630723B1 (en) 2015-12-03 2020-04-21 United Services Automobile Association (Usaa) Determining policy characteristics based on route similarity
US9701279B1 (en) 2016-01-12 2017-07-11 Gordon*Howard Associates, Inc. On board monitoring device
US11691565B2 (en) * 2016-01-22 2023-07-04 Cambridge Mobile Telematics Inc. Systems and methods for sensor-based detection, alerting and modification of driving behaviors
US10349219B2 (en) * 2016-01-26 2019-07-09 Truemotion, Inc. Methods and systems for combining sensor data to determine vehicle movement information
US10699347B1 (en) * 2016-02-24 2020-06-30 Allstate Insurance Company Polynomial risk maps
US10449967B1 (en) 2016-03-01 2019-10-22 Allstate Insurance Company Vehicle to vehicle telematics
CN105629795A (en) * 2016-03-16 2016-06-01 张明民 Modularized vehicle-mounted intelligent system based on mobile intelligent device expansion
US11568492B2 (en) * 2016-03-29 2023-01-31 Sony Corporation Information processing apparatus, information processing method, program, and system
US10407078B2 (en) * 2016-04-26 2019-09-10 Sivalogeswaran Ratnasingam Dynamic learning driving system and method
US10126141B2 (en) * 2016-05-02 2018-11-13 Google Llc Systems and methods for using real-time imagery in navigation
SG10201603664TA (en) * 2016-05-09 2017-12-28 Mastercard Asia Pacific Pte Ltd Method And System For On-Board Detection Of Speeding Of A Vehicle And Payment Of An Associated Fine
US20210398220A1 (en) * 2016-05-11 2021-12-23 State Farm Mutual Automobile Insurance Company Systems and methods for allocating vehicle costs between vehicle users by determining a vehicle driver
DK179186B1 (en) 2016-05-19 2018-01-15 Apple Inc REMOTE AUTHORIZATION TO CONTINUE WITH AN ACTION
US20170353353A1 (en) 2016-06-03 2017-12-07 Uptake Technologies, Inc. Provisioning a Local Analytics Device
US11072339B2 (en) * 2016-06-06 2021-07-27 Truemotion, Inc. Systems and methods for scoring driving trips
US10679297B1 (en) * 2016-06-06 2020-06-09 United Services Automobile Association (Usaa) Systems and methods for determining a fixed rate based on behavior
US10621581B2 (en) 2016-06-11 2020-04-14 Apple Inc. User interface for transactions
DK201670622A1 (en) 2016-06-12 2018-02-12 Apple Inc User interfaces for transactions
US10227003B1 (en) 2016-06-13 2019-03-12 State Farm Mutual Automobile Insurance Company Systems and methods for notifying individuals who are unfit to operate vehicles
US10909476B1 (en) 2016-06-13 2021-02-02 State Farm Mutual Automobile Insurance Company Systems and methods for managing instances in which individuals are unfit to operate vehicles
US10036645B2 (en) 2016-06-15 2018-07-31 Here Global B.V. Vehicle usage-based pricing alerts
US10825094B2 (en) 2016-06-17 2020-11-03 Allstate Insurance Company Parsing databases to generate customized recommendations for home assessment
US20180012197A1 (en) 2016-07-07 2018-01-11 NextEv USA, Inc. Battery exchange licensing program based on state of charge of battery pack
US10832331B1 (en) * 2016-07-11 2020-11-10 State Farm Mutual Automobile Insurance Company Systems and methods for allocating fault to autonomous vehicles
WO2018019354A1 (en) * 2016-07-25 2018-02-01 Swiss Reinsurance Company Ltd. An apparatus for a dynamic, score-based, telematics connection search engine and aggregator and corresponding method thereof
US9928734B2 (en) 2016-08-02 2018-03-27 Nio Usa, Inc. Vehicle-to-pedestrian communication systems
US11042938B1 (en) * 2016-08-08 2021-06-22 Allstate Insurance Company Driver identity detection and alerts
WO2018028799A1 (en) * 2016-08-12 2018-02-15 Swiss Reinsurance Company Ltd. Telematics system with vehicle-embedded telematics devices (oem line fitted) for score-driven, automated insurance and corresponding method
CN106780042A (en) * 2016-09-05 2017-05-31 中国人民财产保险股份有限公司 Driving behavior data acquisition and evaluation method based on Intelligent mobile equipment
US9842330B1 (en) 2016-09-06 2017-12-12 Apple Inc. User interfaces for stored-value accounts
US11361380B2 (en) 2016-09-21 2022-06-14 Allstate Insurance Company Enhanced image capture and analysis of damaged tangible objects
US10902525B2 (en) 2016-09-21 2021-01-26 Allstate Insurance Company Enhanced image capture and analysis of damaged tangible objects
US20180096433A1 (en) * 2016-10-03 2018-04-05 At&T Intellectual Property I, L.P. Calculation of Differential for Insurance Rates
US9979813B2 (en) 2016-10-04 2018-05-22 Allstate Solutions Private Limited Mobile device communication access and hands-free device activation
US10264111B2 (en) 2016-10-04 2019-04-16 Allstate Solutions Private Limited Mobile device communication access and hands-free device activation
US11295218B2 (en) 2016-10-17 2022-04-05 Allstate Solutions Private Limited Partitioning sensor based data to generate driving pattern map
US10496808B2 (en) 2016-10-25 2019-12-03 Apple Inc. User interface for managing access to credentials for use in an operation
US20210304313A1 (en) 2016-10-28 2021-09-30 State Farm Mutual Automobile Insurance Company Driver profiles based upon compliance with driver-specific limitations
US11024160B2 (en) 2016-11-07 2021-06-01 Nio Usa, Inc. Feedback performance control and tracking
US10708547B2 (en) 2016-11-11 2020-07-07 Nio Usa, Inc. Using vehicle sensor data to monitor environmental and geologic conditions
US10410064B2 (en) 2016-11-11 2019-09-10 Nio Usa, Inc. System for tracking and identifying vehicles and pedestrians
US10694357B2 (en) 2016-11-11 2020-06-23 Nio Usa, Inc. Using vehicle sensor data to monitor pedestrian health
US10699305B2 (en) 2016-11-21 2020-06-30 Nio Usa, Inc. Smart refill assistant for electric vehicles
US10713727B1 (en) 2016-11-23 2020-07-14 State Farm Mutual Automobile Insurance Company Systems and methods for building and utilizing an autonomous vehicle-related event blockchain
US10249104B2 (en) 2016-12-06 2019-04-02 Nio Usa, Inc. Lease observation and event recording
US10012993B1 (en) 2016-12-09 2018-07-03 Zendrive, Inc. Method and system for risk modeling in autonomous vehicles
US9947052B1 (en) 2016-12-20 2018-04-17 Allstate Insurance Company Controlling autonomous vehicles to optimize traffic characteristics
US11030699B1 (en) * 2017-01-17 2021-06-08 State Farm Mutual Automobile Insurance Company Blockchain controlled multi-carrier auction system for usage-based auto insurance
US11361388B1 (en) 2017-01-11 2022-06-14 State Farm Mutual Automobile Insurance Company Blockchain systems and methods for managing usage-based contracts
US10074223B2 (en) 2017-01-13 2018-09-11 Nio Usa, Inc. Secured vehicle for user use only
US10031521B1 (en) 2017-01-16 2018-07-24 Nio Usa, Inc. Method and system for using weather information in operation of autonomous vehicles
US9984572B1 (en) 2017-01-16 2018-05-29 Nio Usa, Inc. Method and system for sharing parking space availability among autonomous vehicles
US10471829B2 (en) 2017-01-16 2019-11-12 Nio Usa, Inc. Self-destruct zone and autonomous vehicle navigation
US10464530B2 (en) 2017-01-17 2019-11-05 Nio Usa, Inc. Voice biometric pre-purchase enrollment for autonomous vehicles
US10286915B2 (en) 2017-01-17 2019-05-14 Nio Usa, Inc. Machine learning for personalized driving
US10407079B1 (en) * 2017-01-19 2019-09-10 State Farm Mutual Automobile Insurance Company Apparatuses, systems and methods for determining distracted drivers associated with vehicle driving routes
US10897469B2 (en) 2017-02-02 2021-01-19 Nio Usa, Inc. System and method for firewalls between vehicle networks
US11521271B2 (en) * 2017-02-06 2022-12-06 Allstate Insurance Company Autonomous vehicle control systems with collision detection and response capabilities
US11132653B1 (en) * 2017-03-09 2021-09-28 United Services Automobile Association (Usaa) Supplemental data transmission for network transactions
US10733311B2 (en) 2017-03-29 2020-08-04 International Business Machines Corporation Cognitive internet of things (IoT) gateways for data security and privacy protection in real-time context-based data applications
US11087267B1 (en) 2017-04-12 2021-08-10 Wells Fargo Bank, N.A. Configurable vehicle
US10937103B1 (en) 2017-04-21 2021-03-02 Allstate Insurance Company Machine learning based accident assessment
US20230162287A1 (en) * 2017-05-05 2023-05-25 BlueOwl, LLC Systems and methods for managing insurance contracts using telematics data to build a user profile
US20180336638A1 (en) * 2017-05-22 2018-11-22 Insurance Zebra Inc. Classifying rate factors in consumer profiles based on effects of the factors in high-dimensional models
US10743241B1 (en) 2017-06-06 2020-08-11 Nocell Technologies, LLC System, method and apparatus for facilitating the restriction of the use of one or more network devices through automated policy enforcement
US11038801B2 (en) 2017-06-06 2021-06-15 Nocell Technologies, LLC System, method and apparatus for restricting use of a network device through automated policy enforcement
US20180352372A1 (en) * 2017-06-06 2018-12-06 L'Ami Carl, LLC System, method and apparatus for generating a zone restricting use of a mobile device
US10191462B2 (en) * 2017-06-06 2019-01-29 International Business Machines Corporation Vehicle electronic receptionist for communications management
US10438074B2 (en) * 2017-06-14 2019-10-08 Baidu Usa Llc Method and system for controlling door locks of autonomous driving vehicles based on lane information
US10234302B2 (en) 2017-06-27 2019-03-19 Nio Usa, Inc. Adaptive route and motion planning based on learned external and internal vehicle environment
US10730526B2 (en) 2017-07-14 2020-08-04 Ccc Information Services Inc. Driver assist design analysis system
US10369974B2 (en) 2017-07-14 2019-08-06 Nio Usa, Inc. Control and coordination of driverless fuel replenishment for autonomous vehicles
US11267481B2 (en) * 2017-07-14 2022-03-08 Ccc Intelligent Solutions Inc. Driver assist design analysis system
US10710633B2 (en) 2017-07-14 2020-07-14 Nio Usa, Inc. Control of complex parking maneuvers and autonomous fuel replenishment of driverless vehicles
US10837790B2 (en) 2017-08-01 2020-11-17 Nio Usa, Inc. Productive and accident-free driving modes for a vehicle
KR102143148B1 (en) 2017-09-09 2020-08-10 애플 인크. Implementation of biometric authentication
KR102185854B1 (en) 2017-09-09 2020-12-02 애플 인크. Implementation of biometric authentication
US20210256616A1 (en) 2017-09-27 2021-08-19 State Farm Mutual Automobile Insurance Company Automobile Monitoring Systems and Methods for Risk Determination
US20210224917A1 (en) 2017-09-27 2021-07-22 State Farm Mutual Automobile Insurance Company System and Method for Evaluating a Driving Behavior
US11037248B1 (en) 2017-10-11 2021-06-15 State Farm Mutual Automobile Insurance Company Cost sharing based upon in-car audio
US10635109B2 (en) 2017-10-17 2020-04-28 Nio Usa, Inc. Vehicle path-planner monitor and controller
WO2019079807A1 (en) * 2017-10-20 2019-04-25 Zendrive, Inc. Method and system for vehicular-related communications
US11334951B1 (en) * 2017-10-27 2022-05-17 Wells Fargo Bank, N.A. Trip-segment payments for vehicle insurance
US10935978B2 (en) 2017-10-30 2021-03-02 Nio Usa, Inc. Vehicle self-localization using particle filters and visual odometry
US10606274B2 (en) 2017-10-30 2020-03-31 Nio Usa, Inc. Visual place recognition based self-localization for autonomous vehicles
US10717412B2 (en) 2017-11-13 2020-07-21 Nio Usa, Inc. System and method for controlling a vehicle using secondary access methods
US10278039B1 (en) 2017-11-27 2019-04-30 Zendrive, Inc. System and method for vehicle sensing and analysis
WO2019105714A1 (en) * 2017-11-30 2019-06-06 Robert Bosch Gmbh Vehicle fleet management having a hiearachy of priority factors
US11443381B2 (en) 2017-12-04 2022-09-13 Allstate Insurance Company Multicomputer processing of user data with centralized event control
EP3514744A1 (en) * 2018-01-23 2019-07-24 Hitachi, Ltd. Vehicle operation analysis of a driver
US11790453B2 (en) 2018-05-04 2023-10-17 Assurant, Inc. Systems and methods for generating contextually relevant device protections
US11436648B1 (en) 2018-05-04 2022-09-06 Allstate Insurance Company Processing system having a machine learning engine for providing a surface dimension output
US11257132B1 (en) 2018-05-04 2022-02-22 Allstate Insurance Company Processing systems and methods having a machine learning engine for providing a surface dimension output
US10493938B1 (en) 2018-05-22 2019-12-03 Bank Of America Corporation Real-time vehicle environment recognition and collision identification system
US10369966B1 (en) 2018-05-23 2019-08-06 Nio Usa, Inc. Controlling access to a vehicle using wireless access devices
KR20190136720A (en) * 2018-05-31 2019-12-10 현대자동차주식회사 Telematics device and method for taking out insurance and estimating insurance fee
US11170085B2 (en) 2018-06-03 2021-11-09 Apple Inc. Implementation of biometric authentication
CN109000932B (en) * 2018-06-15 2021-05-28 奇瑞汽车股份有限公司 Wearable device for automobile dynamic performance evaluation and dynamic performance evaluation method
US11501343B2 (en) * 2018-07-23 2022-11-15 Motional Ad Llc System and method to charge a penalty fee to an uncooperative client of an automated-taxi
US10869187B1 (en) * 2018-08-07 2020-12-15 State Farm Mutual Automobile Insurance Company System and method for generating consumer mobility profile
US11263837B2 (en) * 2018-09-21 2022-03-01 Servicenow Canada Inc. Automatic real-time detection of vehicular incidents
US10860096B2 (en) 2018-09-28 2020-12-08 Apple Inc. Device control using gaze information
US11100349B2 (en) 2018-09-28 2021-08-24 Apple Inc. Audio assisted enrollment
US11348134B2 (en) * 2018-09-28 2022-05-31 Allstate Insurance Company Data processing system with machine learning engine to provide output generation functions
US11348181B1 (en) * 2018-10-31 2022-05-31 United Services Automobile Association (Usaa) Method and system for assessing driving risks by detecting driving routines
US11288750B1 (en) * 2018-10-31 2022-03-29 United Services Automobile Association (Usaa) Method and system for automatically detecting vehicle collisions for insurance claims
JP2020086611A (en) * 2018-11-16 2020-06-04 トヨタ自動車株式会社 Server device and information processing method
US10748219B2 (en) * 2019-01-08 2020-08-18 Onoff, Inc. Method and system for dynamically changing automobile insurance
US10926798B2 (en) 2019-01-28 2021-02-23 Ford Global Technologies, Llc Pothole display
US11076274B1 (en) 2019-01-28 2021-07-27 United Services Automobile Association (Usaa) Monitoring of data to predict driving events
US10527706B1 (en) * 2019-02-19 2020-01-07 Great Wall Motor Company Limited Localization methods and systems for autonomous systems
US11328352B2 (en) 2019-03-24 2022-05-10 Apple Inc. User interfaces for managing an account
US20220172479A1 (en) * 2019-03-29 2022-06-02 Nec Corporation Monitoring system, monitoring device, monitoring method, and non-transitory computer-readable medium
US11481094B2 (en) 2019-06-01 2022-10-25 Apple Inc. User interfaces for location-related communications
US11477609B2 (en) 2019-06-01 2022-10-18 Apple Inc. User interfaces for location-related communications
US11386502B2 (en) * 2019-06-13 2022-07-12 Sure, Inc. Automatic action-based product provisioning
US10946862B1 (en) 2019-06-25 2021-03-16 Allstate Insurance Company Utilizing vehicle telematics to detect, evaluate, and respond to driving behaviors
US11599947B1 (en) 2019-08-28 2023-03-07 State Farm Mutual Automobile Insurance Company Systems and methods for generating mobility insurance products using ride-sharing telematics data
FR3100647B1 (en) * 2019-09-11 2021-12-10 Lojelis Holding VEHICLE RENTAL MANAGEMENT PROCESS AND DEVICE
KR102451495B1 (en) 2019-09-29 2022-10-06 애플 인크. Account Management User Interfaces
US11169830B2 (en) 2019-09-29 2021-11-09 Apple Inc. Account management user interfaces
WO2021074816A1 (en) * 2019-10-14 2021-04-22 Janse Van Rensburg Jacob Stephanus Financial management method and system
CN117036056A (en) * 2019-10-30 2023-11-10 博泰车联网科技(上海)股份有限公司 Method, mobile device, and computer-readable storage medium for generating insurance information
JP2021075071A (en) * 2019-11-05 2021-05-20 ヤマハ発動機株式会社 System for controlling attitude control plate, ship and method for controlling attitude control plate for ship
US11775010B2 (en) 2019-12-02 2023-10-03 Zendrive, Inc. System and method for assessing device usage
US11574367B2 (en) 2019-12-20 2023-02-07 Securian Financial Group, Inc. Estimate potential insurance payout
US11599951B1 (en) * 2020-01-13 2023-03-07 State Farm Mutual Automobile Insurance Company Systems and methods for generating on-demand insurance policies
US11341525B1 (en) 2020-01-24 2022-05-24 BlueOwl, LLC Systems and methods for telematics data marketplace
DK202070633A1 (en) 2020-04-10 2021-11-12 Apple Inc User interfaces for enabling an activity
US11783302B2 (en) * 2020-05-07 2023-10-10 Blackberry Limited Authorization of vehicle repairs
US11657458B2 (en) * 2020-06-10 2023-05-23 Allstate Insurance Company Data processing system for secure data sharing and customized output generation
US11816194B2 (en) 2020-06-21 2023-11-14 Apple Inc. User interfaces for managing secure operations
WO2022015488A1 (en) * 2020-07-16 2022-01-20 Qomplx, Inc. Event-driven model refinement for insurance and risk management
US20220067839A1 (en) * 2020-08-31 2022-03-03 Rivian Ip Holdings, Llc Collecting and evaluating driving data for extending an insurance offer
US20220118941A1 (en) * 2020-10-20 2022-04-21 Ford Global Technologies, Llc Systems And Methods For Vehicle Movement Parental Control With Child Detection
US20230306524A1 (en) * 2021-03-22 2023-09-28 Blueowl Llc Systems and methods for providing vehicle insurance discounts based on user selection of discount values
US20230073502A1 (en) * 2021-04-29 2023-03-09 BlueOwl, LLC Systems and methods for adjusting a dynamic discount
JP2023017643A (en) * 2021-07-26 2023-02-07 トヨタ自動車株式会社 Information processing device, reward determination method, and reward determination program
US11776064B2 (en) 2021-08-24 2023-10-03 Toyota Motor Engineering & Manufacturing North America, Inc. Driver classification systems and methods for obtaining an insurance rate for a vehicle
US20230146426A1 (en) * 2021-10-04 2023-05-11 BlueOwl, LLC Systems and methods for managing vehicle operator profiles based on telematics inferences via an auction telematics marketplace with a bid profit predictive model

Citations (97)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5548273A (en) * 1993-06-29 1996-08-20 Competition Components International Pty Ltd Vehicle driving monitor apparatus
US5797134A (en) * 1996-01-29 1998-08-18 Progressive Casualty Insurance Company Motor vehicle monitoring system for determining a cost of insurance
US5852811A (en) * 1987-04-15 1998-12-22 Proprietary Financial Products, Inc. Method for managing financial accounts by a preferred allocation of funds among accounts
US5918180A (en) * 1995-12-22 1999-06-29 Dimino; Michael Telephone operable global tracking system for vehicles
US5964821A (en) * 1995-04-07 1999-10-12 Delco Electronics Corporation Mapless GPS navigation system with sortable destinations and zone preference
US20020026334A1 (en) * 1998-11-23 2002-02-28 Edward W. Igoe Agent-centric insurance quoting service
US20020046207A1 (en) * 2000-06-30 2002-04-18 Seiko Epson Corporation Information distribution system, information distribution method, and computer program for implementing the method
US20020065687A1 (en) * 2000-11-30 2002-05-30 Tsubasa System Co., Ltd. System for processing insurance benefit agreements and computer readable medium storing a program therefor
US20020069157A1 (en) * 2000-09-15 2002-06-06 Jordan Michael S. Exchange fusion
US20020095317A1 (en) * 2000-08-10 2002-07-18 Miralink Corporation Data/presence insurance tools and techniques
US20020097193A1 (en) * 2001-01-23 2002-07-25 Freecar Media System and method to increase the efficiency of outdoor advertising
US20020116228A1 (en) * 1999-07-30 2002-08-22 Alan R. Bauer Method and apparatus for internet on-line insurance policy service
US6456982B1 (en) * 1993-07-01 2002-09-24 Dragana N. Pilipovic Computer system for generating projected data and an application supporting a financial transaction
US6456207B1 (en) * 2001-02-20 2002-09-24 John Yen Intelligent taxi total service system
US6502020B2 (en) * 2001-01-18 2002-12-31 Brook W. Lang Driving record monitoring system and method
US20030050825A1 (en) * 2001-09-05 2003-03-13 Impactrx, Inc. Computerized pharmaceutical sales representative performance analysis system and method of use
US20030058842A1 (en) * 2000-02-24 2003-03-27 Andrew Bud System and method for providing information services to a mobile device user
US20030069761A1 (en) * 2001-10-10 2003-04-10 Increment P Corporation, Shuji Kawakami, And Nobuhiro Shoji System for taking out insurance policy, method of taking out insurance policy, server apparatus and terminal apparatus
US20030093304A1 (en) * 2001-11-02 2003-05-15 Keller James B. System and method for managing short term risk
US6594635B1 (en) * 1998-10-24 2003-07-15 Marketcore.Com, Inc. Data processing system for providing an efficient market for insurance and reinsurance
US6615187B1 (en) * 2000-02-09 2003-09-02 Warren S. Ashenmil Method of securitizing and trading real estate brokerage options
US20030177140A1 (en) * 2001-02-28 2003-09-18 Answer Financial, Inc. Method for developing application programs using program constructs
US20030220835A1 (en) * 2002-05-23 2003-11-27 Barnes Melvin L. System, method, and computer program product for providing location based services and mobile e-commerce
US20030224854A1 (en) * 2002-05-31 2003-12-04 Joao Raymond Anthony Apparatus and method for facilitating gaming activity and/or gambling activity
US20040039609A1 (en) * 2002-08-22 2004-02-26 Sarah Burkitt System and method for payment of insurance premiums for vessels
US20040122570A1 (en) * 2000-10-16 2004-06-24 Osamu Sonoyama Automated guided vehicle, operation control system and method for the same, and automotive vehicle
US20040143378A1 (en) * 2001-10-18 2004-07-22 Vogelsang Andrew John Portable speed-recording device for motor vehicles
US20040153362A1 (en) * 1996-01-29 2004-08-05 Progressive Casualty Insurance Company Monitoring system for determining and communicating a cost of insurance
US20040160327A1 (en) * 2002-12-03 2004-08-19 Omron Corporation System for mediating safety drive information, safety drive information mediating apparatus used therein and method for confirming safety drive information
US20050049765A1 (en) * 2003-08-27 2005-03-03 Sacagawea21 Inc. Method and apparatus for advertising assessment using location and temporal information
US6868386B1 (en) * 1996-01-29 2005-03-15 Progressive Casualty Insurance Company Monitoring system for determining and communicating a cost of insurance
US20050065711A1 (en) * 2003-04-07 2005-03-24 Darwin Dahlgren Centralized facility and intelligent on-board vehicle platform for collecting, analyzing and distributing information relating to transportation infrastructure and conditions
US20050071202A1 (en) * 2003-09-30 2005-03-31 Kendrick Rodney B. System of charging for automobile insurance
US20050099279A1 (en) * 2000-11-22 2005-05-12 Fred Forbes Vehicular black box monitoring system
US20050125148A1 (en) * 2003-12-08 2005-06-09 Van Buer Darrel J. Prediction of vehicle operator destinations
US20050156726A1 (en) * 2004-01-20 2005-07-21 Faurecia Automotive Seating Canada Limited Vehicle seatbelt usage sensing apparatus and method for generating and transmitting a seatbelt warning signal
US20050243558A1 (en) * 2004-04-30 2005-11-03 Guide Corporation LED assembly with reverse circuit board
US7010289B2 (en) * 2002-05-24 2006-03-07 General Motors Corporation Method and system for vehicle data upload
US20060053038A1 (en) * 2004-09-08 2006-03-09 Warren Gregory S Calculation of driver score based on vehicle operation
US20060074724A1 (en) * 2004-09-24 2006-04-06 Schwartz James D Method and apparatus for bundling insurance coverages in order to gain a pricing advantage
US20060129313A1 (en) * 2004-12-14 2006-06-15 Becker Craig H System and method for driving directions based on non-map criteria
US20060212195A1 (en) * 2005-03-15 2006-09-21 Veith Gregory W Vehicle data recorder and telematic device
US20060229940A1 (en) * 2000-04-28 2006-10-12 James Grossman Method of distributing printed advertising
US7142962B1 (en) * 2006-02-28 2006-11-28 Bayerische Motoren Werke Aktiengesellschaft Method for the wireless defect elimination on a motor vehicle
US7145442B1 (en) * 2003-10-14 2006-12-05 Yu Hei Sunny Wai Vehicle operation display system
US20060286989A1 (en) * 2005-05-20 2006-12-21 Illion Brian E B Geographical and calendar based advertising system and method
US7174171B2 (en) * 2001-09-01 2007-02-06 At&T Corp. Vehicle occupant response system
US20070050248A1 (en) * 2005-08-26 2007-03-01 Palo Alto Research Center Incorporated System and method to manage advertising and coupon presentation in vehicles
US20070073477A1 (en) * 2005-09-29 2007-03-29 Microsoft Corporation Methods for predicting destinations from partial trajectories employing open- and closed-world modeling methods
US20070112475A1 (en) * 2005-11-17 2007-05-17 Motility Systems, Inc. Power management systems and devices
US20070168233A1 (en) * 2006-01-16 2007-07-19 Chris Hymel Method for actuarial determination of the cost of one-time procedural or professional liability insurance policy
US20070208751A1 (en) * 2005-11-22 2007-09-06 David Cowan Personalized content control
US20070208497A1 (en) * 2006-03-03 2007-09-06 Inrix, Inc. Detecting anomalous road traffic conditions
US20070239992A1 (en) * 2006-02-13 2007-10-11 Steve White Method and system for preventing unauthorized use of a vehicle by an operator of the vehicle
US20070257804A1 (en) * 2006-05-08 2007-11-08 Drivecam, Inc. System and Method for Reducing Driving Risk With Foresight
US20080059019A1 (en) * 2006-08-29 2008-03-06 International Business Machines Coporation Method and system for on-board automotive audio recorder
US20080064446A1 (en) * 2006-08-30 2008-03-13 Camp William O Method for safe operation of mobile phone in a car environment
US20080077451A1 (en) * 2006-09-22 2008-03-27 Hartford Fire Insurance Company System for synergistic data processing
US20080120175A1 (en) * 2006-11-20 2008-05-22 Jeff Doering Driver Input Analysis and Feedback System
US20080126138A1 (en) * 2006-11-24 2008-05-29 Eagle Insurance Agency, Inc. System and method for presenting insurance offers
US20080147245A1 (en) * 2006-12-19 2008-06-19 Skyway Systems, Inc. System and method for provisioning a vehicle interface module
US20080154714A1 (en) * 2006-12-21 2008-06-26 Microsoft Corporation Personalized e-coupons for mobile communication devices
US7395219B2 (en) * 2001-12-08 2008-07-01 Kenneth Ray Strech Insurance on demand transaction management system
US20080228605A1 (en) * 2001-08-06 2008-09-18 Wang Shaun S Computer System and Method for Pricing Financial and Insurance Risks with Historically- Known or Computer-Generated Probability Distributions
US20080243558A1 (en) * 2007-03-27 2008-10-02 Ash Gupte System and method for monitoring driving behavior with feedback
US20080252412A1 (en) * 2005-07-11 2008-10-16 Volvo Technology Corporation Method for Performing Driver Identity Verification
US20080255888A1 (en) * 2007-04-10 2008-10-16 Berkobin Eric C Methods, Systems, and Apparatuses for Determining Driver Behavior
US20080294302A1 (en) * 2007-05-23 2008-11-27 Basir Otman A Recording and reporting of driving characteristics using wireless mobile device
US20080299900A1 (en) * 2007-06-04 2008-12-04 Michael Lesyna Method and system for limiting the functionality of a mobile electronic device
US7469215B2 (en) * 2005-09-07 2008-12-23 International Business Machines Corporation Method for processing insurance coverage requests
US20080319602A1 (en) * 2007-06-25 2008-12-25 Mcclellan Scott System and Method for Monitoring and Improving Driver Behavior
US20090024420A1 (en) * 2007-07-17 2009-01-22 Steve Winkler Automatic insurance adjustments using real world awareness
US20090024273A1 (en) * 2007-07-17 2009-01-22 Todd Follmer System and Method for Providing a User Interface for Vehicle Monitoring System Users and Insurers
US20090024419A1 (en) * 2007-07-17 2009-01-22 Mcclellan Scott System and Method for Categorizing Driving Behavior Using Driver Mentoring and/or Monitoring Equipment to Determine an Underwriting Risk
US20090030853A1 (en) * 2007-03-30 2009-01-29 De La Motte Alain L System and a method of profiting or generating income from the built-in equity in real estate assets or any other form of illiquid asset
US20090037230A1 (en) * 2007-07-11 2009-02-05 Tracy Thomas J System for Electronic Application of Discounts to Insurance Policies
US20090048774A1 (en) * 2005-12-07 2009-02-19 Mototaka Yoshioka Route information display device and route information display method
US20090063201A1 (en) * 2008-10-11 2009-03-05 Nowotarski Mark S SoberTeenTM Driving Insurance
US20090077229A1 (en) * 2007-03-09 2009-03-19 Kenneth Ebbs Procedures and models for data collection and event reporting on remote devices and the configuration thereof
US20090082948A1 (en) * 2007-07-25 2009-03-26 Hitachi, Ltd. Traffic incident detection system
US20090109037A1 (en) * 2000-08-11 2009-04-30 Telanon, Inc. Automated consumer to business electronic marketplace system
US7567914B2 (en) * 2003-04-30 2009-07-28 Genworth Financial, Inc. System and process for dominance classification for insurance underwriting suitable for use by an automated system
US20090287499A1 (en) * 2008-05-16 2009-11-19 Link Ii Charles M Method and system for automatically provisioning a device and registering vehicle modules with a telematics services provider
US20100057556A1 (en) * 2005-04-12 2010-03-04 Armand Rousso Apparatuses, Methods And Systems To Identify, Generate, And Aggregate Qualified Sales and Marketing Leads For Distribution Via an Online Competitive Bidding System
US20100063850A1 (en) * 2008-09-11 2010-03-11 Isaac Sayo Daniel System and method for determining an objective driver score
US20100070171A1 (en) * 2006-09-14 2010-03-18 University Of South Florida System and Method for Real-Time Travel Path Prediction and Automatic Incident Alerts
US7698158B1 (en) * 2000-10-24 2010-04-13 Theinsuranceadvisor Technologies, Inc. Life insurance policy evaluation method
US20100094482A1 (en) * 2007-07-20 2010-04-15 Kenneth Schofield Vehicle tracking system
US20100100485A1 (en) * 2008-10-20 2010-04-22 Mark Haddy System for the safe, private transmission of motor vehicle records
US7734525B2 (en) * 2005-09-27 2010-06-08 Morgan Stanley Hybrid multi-thread and multi-process computer simulation system and methods
US20100153137A1 (en) * 2008-12-11 2010-06-17 Rao Nagaraj V Multidimensional insurance quoting system and method
US20100205012A1 (en) * 2007-07-17 2010-08-12 Mcclellan Scott System and method for providing a user interface for vehicle mentoring system users and insurers
US20100223078A1 (en) * 2008-06-10 2010-09-02 Dale Willis Customizable insurance system
US7827046B2 (en) * 2005-11-22 2010-11-02 Plymouth Rock Assurance Corporation Premium transition factor
US20100305977A1 (en) * 2009-05-29 2010-12-02 Hyperquest, Inc. Automation of auditing claims
US7865378B2 (en) * 2004-10-29 2011-01-04 Milemeter, Inc. System and method for the assessment, pricing, and provisioning of distance-based vehicle insurance
US20110022417A1 (en) * 2009-07-24 2011-01-27 Rao Nagaraj V Insurance quoting system and method

Family Cites Families (43)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US579134A (en) * 1897-03-23 Gary p
JP2907858B2 (en) * 1989-03-20 1999-06-21 株式会社日立製作所 Display device and method
US5557254A (en) * 1993-11-16 1996-09-17 Mobile Security Communications, Inc. Programmable vehicle monitoring and security system having multiple access verification devices
US8169311B1 (en) * 1999-12-15 2012-05-01 Automotive Technologies International, Inc. Wireless transmission system for vehicular component control and monitoring
US8140358B1 (en) * 1996-01-29 2012-03-20 Progressive Casualty Insurance Company Vehicle monitoring system
US5884274A (en) * 1996-11-15 1999-03-16 Walker Asset Management Limited Partnership System and method for generating and executing insurance policies for foreign exchange losses
US6141611A (en) * 1998-12-01 2000-10-31 John J. Mackey Mobile vehicle accident data system
US6889064B2 (en) * 2000-03-22 2005-05-03 Ronald Baratono Combined rear view mirror and telephone
US20020111725A1 (en) * 2000-07-17 2002-08-15 Burge John R. Method and apparatus for risk-related use of vehicle communication system data
US7941258B1 (en) * 2000-08-31 2011-05-10 Strategic Design Federation W, Inc. Automobile monitoring for operation analysis
US20020078173A1 (en) * 2000-09-25 2002-06-20 Horn Paul H. Data acquisition system and method
JP2002318844A (en) * 2001-02-15 2002-10-31 Hitachi Ltd Method for managing vehicle
JP2002259708A (en) * 2001-03-06 2002-09-13 Toyota Motor Corp Vehicular insurance bill calculating system, on-vehicle device, and server device
JP2003050914A (en) * 2001-08-08 2003-02-21 Hitachi Ltd Insurance contract system, control method for insurance contract, and portable terminal device for the same
FI20020653A0 (en) * 2002-04-05 2002-04-05 Taipale Automotive Oy Procedure for identifying a motorist and his driving style
US6888386B2 (en) * 2002-04-23 2005-05-03 Winbond Electronics Corporation Method and apparatus for change pump circuit
US7401233B2 (en) * 2003-06-24 2008-07-15 International Business Machines Corporation Method, system, and apparatus for dynamic data-driven privacy policy protection and data sharing
US7756782B2 (en) * 2003-07-28 2010-07-13 Trading Technologies International, Inc. System and method for improved electronic trading
KR20060111570A (en) * 2003-12-10 2006-10-27 마츠시타 덴끼 산교 가부시키가이샤 Theft prevention system
US7715961B1 (en) * 2004-04-28 2010-05-11 Agnik, Llc Onboard driver, vehicle and fleet data mining
FI116942B (en) * 2004-05-10 2006-04-13 Biohit Oyj Protein and peptide stabilization
SE527692C2 (en) * 2004-05-12 2006-05-09 Hans Ekdahl Med Hg Ekdahl Kons Procedure in a communication network to distribute driving information for vehicles and systems implementing the procedure
US7937278B1 (en) * 2005-01-18 2011-05-03 Allstate Insurance Company Usage-based insurance cost determination system and method
EP1867188B1 (en) * 2005-04-06 2009-05-13 Telit Communications S.p.A. Subscriber identity module and mobile communications device using such module
US20070216521A1 (en) * 2006-02-28 2007-09-20 Guensler Randall L Real-time traffic citation probability display system and method
GB0605069D0 (en) * 2006-03-14 2006-04-26 Airmax Group Plc Method and system for driver style monitoring and analysing
KR101716873B1 (en) * 2006-03-16 2017-03-15 엠.브루베이커 커티스 System and method for obtaining revenue through the display of hyper-relevant advertising on moving objects
GB0613070D0 (en) * 2006-06-30 2006-08-09 Auto Txt Ltd Driving performance monitoring and enhancement
US8930204B1 (en) * 2006-08-16 2015-01-06 Resource Consortium Limited Determining lifestyle recommendations using aggregated personal information
US8121915B1 (en) * 2006-08-16 2012-02-21 Resource Consortium Limited Generating financial plans using a personal information aggregator
US7937075B2 (en) * 2006-10-06 2011-05-03 At&T Intellectual Property I, L.P. Mode changing of a mobile communications device and vehicle settings when the mobile communications device is in proximity to a vehicle
KR100784968B1 (en) * 2006-10-25 2007-12-11 삼성전자주식회사 Mobile terminal and method for displaying data according to sim card of the same
US20080123138A1 (en) * 2006-11-29 2008-05-29 Joy Banerjee Image Fit To Media Area Method
US7945497B2 (en) * 2006-12-22 2011-05-17 Hartford Fire Insurance Company System and method for utilizing interrelated computerized predictive models
US7692552B2 (en) * 2007-01-23 2010-04-06 International Business Machines Corporation Method and system for improving driver safety and situational awareness
US9563919B2 (en) * 2007-02-02 2017-02-07 Hartford Fire Insurance Company Safety evaluation and feedback system and method
MX2008001835A (en) * 2007-02-06 2009-02-24 J J Keller & Associates Inc Electronic driver logging system and method.
US20090112634A1 (en) * 2007-10-24 2009-04-30 Koziol Joseph D Insurance Transaction System and Method
WO2009065045A1 (en) * 2007-11-14 2009-05-22 Qualcomm Incorporated Methods and systems for determining a geographic user profile to determine suitability of targeted content messages based on the profile
US10210479B2 (en) * 2008-07-29 2019-02-19 Hartford Fire Insurance Company Computerized sysem and method for data acquistion and application of disparate data to two stage bayesian networks to generate centrally maintained portable driving score data
EP2335438A4 (en) * 2008-10-09 2014-08-13 Univ Utah Res Found System and method for preventing cell phone use while driving
US20110161232A1 (en) * 2009-12-28 2011-06-30 Brown Kerry D Virtualization of authentication token for secure applications
US8793036B2 (en) * 2010-09-22 2014-07-29 The Boeing Company Trackless transit system with adaptive vehicles

Patent Citations (99)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5852811A (en) * 1987-04-15 1998-12-22 Proprietary Financial Products, Inc. Method for managing financial accounts by a preferred allocation of funds among accounts
US5548273A (en) * 1993-06-29 1996-08-20 Competition Components International Pty Ltd Vehicle driving monitor apparatus
US6456982B1 (en) * 1993-07-01 2002-09-24 Dragana N. Pilipovic Computer system for generating projected data and an application supporting a financial transaction
US5964821A (en) * 1995-04-07 1999-10-12 Delco Electronics Corporation Mapless GPS navigation system with sortable destinations and zone preference
US5918180A (en) * 1995-12-22 1999-06-29 Dimino; Michael Telephone operable global tracking system for vehicles
US5797134A (en) * 1996-01-29 1998-08-18 Progressive Casualty Insurance Company Motor vehicle monitoring system for determining a cost of insurance
US6064970A (en) * 1996-01-29 2000-05-16 Progressive Casualty Insurance Company Motor vehicle monitoring system for determining a cost of insurance
US20040153362A1 (en) * 1996-01-29 2004-08-05 Progressive Casualty Insurance Company Monitoring system for determining and communicating a cost of insurance
US6868386B1 (en) * 1996-01-29 2005-03-15 Progressive Casualty Insurance Company Monitoring system for determining and communicating a cost of insurance
US6594635B1 (en) * 1998-10-24 2003-07-15 Marketcore.Com, Inc. Data processing system for providing an efficient market for insurance and reinsurance
US20020026334A1 (en) * 1998-11-23 2002-02-28 Edward W. Igoe Agent-centric insurance quoting service
US20020116228A1 (en) * 1999-07-30 2002-08-22 Alan R. Bauer Method and apparatus for internet on-line insurance policy service
US6615187B1 (en) * 2000-02-09 2003-09-02 Warren S. Ashenmil Method of securitizing and trading real estate brokerage options
US20030058842A1 (en) * 2000-02-24 2003-03-27 Andrew Bud System and method for providing information services to a mobile device user
US20060229940A1 (en) * 2000-04-28 2006-10-12 James Grossman Method of distributing printed advertising
US20020046207A1 (en) * 2000-06-30 2002-04-18 Seiko Epson Corporation Information distribution system, information distribution method, and computer program for implementing the method
US20020095317A1 (en) * 2000-08-10 2002-07-18 Miralink Corporation Data/presence insurance tools and techniques
US20090109037A1 (en) * 2000-08-11 2009-04-30 Telanon, Inc. Automated consumer to business electronic marketplace system
US20020069157A1 (en) * 2000-09-15 2002-06-06 Jordan Michael S. Exchange fusion
US20040122570A1 (en) * 2000-10-16 2004-06-24 Osamu Sonoyama Automated guided vehicle, operation control system and method for the same, and automotive vehicle
US7698158B1 (en) * 2000-10-24 2010-04-13 Theinsuranceadvisor Technologies, Inc. Life insurance policy evaluation method
US20050099279A1 (en) * 2000-11-22 2005-05-12 Fred Forbes Vehicular black box monitoring system
US20020065687A1 (en) * 2000-11-30 2002-05-30 Tsubasa System Co., Ltd. System for processing insurance benefit agreements and computer readable medium storing a program therefor
US6502020B2 (en) * 2001-01-18 2002-12-31 Brook W. Lang Driving record monitoring system and method
US20020097193A1 (en) * 2001-01-23 2002-07-25 Freecar Media System and method to increase the efficiency of outdoor advertising
US6456207B1 (en) * 2001-02-20 2002-09-24 John Yen Intelligent taxi total service system
US20030177140A1 (en) * 2001-02-28 2003-09-18 Answer Financial, Inc. Method for developing application programs using program constructs
US20080228605A1 (en) * 2001-08-06 2008-09-18 Wang Shaun S Computer System and Method for Pricing Financial and Insurance Risks with Historically- Known or Computer-Generated Probability Distributions
US7174171B2 (en) * 2001-09-01 2007-02-06 At&T Corp. Vehicle occupant response system
US20030050825A1 (en) * 2001-09-05 2003-03-13 Impactrx, Inc. Computerized pharmaceutical sales representative performance analysis system and method of use
US20030069761A1 (en) * 2001-10-10 2003-04-10 Increment P Corporation, Shuji Kawakami, And Nobuhiro Shoji System for taking out insurance policy, method of taking out insurance policy, server apparatus and terminal apparatus
US20040143378A1 (en) * 2001-10-18 2004-07-22 Vogelsang Andrew John Portable speed-recording device for motor vehicles
US20030093304A1 (en) * 2001-11-02 2003-05-15 Keller James B. System and method for managing short term risk
US7395219B2 (en) * 2001-12-08 2008-07-01 Kenneth Ray Strech Insurance on demand transaction management system
US20030220835A1 (en) * 2002-05-23 2003-11-27 Barnes Melvin L. System, method, and computer program product for providing location based services and mobile e-commerce
US7010289B2 (en) * 2002-05-24 2006-03-07 General Motors Corporation Method and system for vehicle data upload
US20030224854A1 (en) * 2002-05-31 2003-12-04 Joao Raymond Anthony Apparatus and method for facilitating gaming activity and/or gambling activity
US20040039609A1 (en) * 2002-08-22 2004-02-26 Sarah Burkitt System and method for payment of insurance premiums for vessels
US20040160327A1 (en) * 2002-12-03 2004-08-19 Omron Corporation System for mediating safety drive information, safety drive information mediating apparatus used therein and method for confirming safety drive information
US20050065711A1 (en) * 2003-04-07 2005-03-24 Darwin Dahlgren Centralized facility and intelligent on-board vehicle platform for collecting, analyzing and distributing information relating to transportation infrastructure and conditions
US7567914B2 (en) * 2003-04-30 2009-07-28 Genworth Financial, Inc. System and process for dominance classification for insurance underwriting suitable for use by an automated system
US20050049765A1 (en) * 2003-08-27 2005-03-03 Sacagawea21 Inc. Method and apparatus for advertising assessment using location and temporal information
US20050071202A1 (en) * 2003-09-30 2005-03-31 Kendrick Rodney B. System of charging for automobile insurance
US7145442B1 (en) * 2003-10-14 2006-12-05 Yu Hei Sunny Wai Vehicle operation display system
US20050125148A1 (en) * 2003-12-08 2005-06-09 Van Buer Darrel J. Prediction of vehicle operator destinations
US20050156726A1 (en) * 2004-01-20 2005-07-21 Faurecia Automotive Seating Canada Limited Vehicle seatbelt usage sensing apparatus and method for generating and transmitting a seatbelt warning signal
US20050243558A1 (en) * 2004-04-30 2005-11-03 Guide Corporation LED assembly with reverse circuit board
US20070027726A1 (en) * 2004-09-08 2007-02-01 Warren Gregory S Calculation of driver score based on vehicle operation for forward looking insurance premiums
US20060053038A1 (en) * 2004-09-08 2006-03-09 Warren Gregory S Calculation of driver score based on vehicle operation
US20060074724A1 (en) * 2004-09-24 2006-04-06 Schwartz James D Method and apparatus for bundling insurance coverages in order to gain a pricing advantage
US7865378B2 (en) * 2004-10-29 2011-01-04 Milemeter, Inc. System and method for the assessment, pricing, and provisioning of distance-based vehicle insurance
US20060129313A1 (en) * 2004-12-14 2006-06-15 Becker Craig H System and method for driving directions based on non-map criteria
US20060212195A1 (en) * 2005-03-15 2006-09-21 Veith Gregory W Vehicle data recorder and telematic device
US20100057556A1 (en) * 2005-04-12 2010-03-04 Armand Rousso Apparatuses, Methods And Systems To Identify, Generate, And Aggregate Qualified Sales and Marketing Leads For Distribution Via an Online Competitive Bidding System
US20060286989A1 (en) * 2005-05-20 2006-12-21 Illion Brian E B Geographical and calendar based advertising system and method
US20080252412A1 (en) * 2005-07-11 2008-10-16 Volvo Technology Corporation Method for Performing Driver Identity Verification
US20070050248A1 (en) * 2005-08-26 2007-03-01 Palo Alto Research Center Incorporated System and method to manage advertising and coupon presentation in vehicles
US7469215B2 (en) * 2005-09-07 2008-12-23 International Business Machines Corporation Method for processing insurance coverage requests
US7734525B2 (en) * 2005-09-27 2010-06-08 Morgan Stanley Hybrid multi-thread and multi-process computer simulation system and methods
US20070073477A1 (en) * 2005-09-29 2007-03-29 Microsoft Corporation Methods for predicting destinations from partial trajectories employing open- and closed-world modeling methods
US20070112475A1 (en) * 2005-11-17 2007-05-17 Motility Systems, Inc. Power management systems and devices
US20070208751A1 (en) * 2005-11-22 2007-09-06 David Cowan Personalized content control
US7827046B2 (en) * 2005-11-22 2010-11-02 Plymouth Rock Assurance Corporation Premium transition factor
US20090048774A1 (en) * 2005-12-07 2009-02-19 Mototaka Yoshioka Route information display device and route information display method
US20070168233A1 (en) * 2006-01-16 2007-07-19 Chris Hymel Method for actuarial determination of the cost of one-time procedural or professional liability insurance policy
US20070239992A1 (en) * 2006-02-13 2007-10-11 Steve White Method and system for preventing unauthorized use of a vehicle by an operator of the vehicle
US7142962B1 (en) * 2006-02-28 2006-11-28 Bayerische Motoren Werke Aktiengesellschaft Method for the wireless defect elimination on a motor vehicle
US20070208497A1 (en) * 2006-03-03 2007-09-06 Inrix, Inc. Detecting anomalous road traffic conditions
US20070257804A1 (en) * 2006-05-08 2007-11-08 Drivecam, Inc. System and Method for Reducing Driving Risk With Foresight
US20080059019A1 (en) * 2006-08-29 2008-03-06 International Business Machines Coporation Method and system for on-board automotive audio recorder
US20080064446A1 (en) * 2006-08-30 2008-03-13 Camp William O Method for safe operation of mobile phone in a car environment
US20100070171A1 (en) * 2006-09-14 2010-03-18 University Of South Florida System and Method for Real-Time Travel Path Prediction and Automatic Incident Alerts
US20080077451A1 (en) * 2006-09-22 2008-03-27 Hartford Fire Insurance Company System for synergistic data processing
US20080120175A1 (en) * 2006-11-20 2008-05-22 Jeff Doering Driver Input Analysis and Feedback System
US20080126138A1 (en) * 2006-11-24 2008-05-29 Eagle Insurance Agency, Inc. System and method for presenting insurance offers
US20080147245A1 (en) * 2006-12-19 2008-06-19 Skyway Systems, Inc. System and method for provisioning a vehicle interface module
US20080154714A1 (en) * 2006-12-21 2008-06-26 Microsoft Corporation Personalized e-coupons for mobile communication devices
US20090077229A1 (en) * 2007-03-09 2009-03-19 Kenneth Ebbs Procedures and models for data collection and event reporting on remote devices and the configuration thereof
US20080243558A1 (en) * 2007-03-27 2008-10-02 Ash Gupte System and method for monitoring driving behavior with feedback
US20090030853A1 (en) * 2007-03-30 2009-01-29 De La Motte Alain L System and a method of profiting or generating income from the built-in equity in real estate assets or any other form of illiquid asset
US20080255888A1 (en) * 2007-04-10 2008-10-16 Berkobin Eric C Methods, Systems, and Apparatuses for Determining Driver Behavior
US20080294302A1 (en) * 2007-05-23 2008-11-27 Basir Otman A Recording and reporting of driving characteristics using wireless mobile device
US20080299900A1 (en) * 2007-06-04 2008-12-04 Michael Lesyna Method and system for limiting the functionality of a mobile electronic device
US20080319602A1 (en) * 2007-06-25 2008-12-25 Mcclellan Scott System and Method for Monitoring and Improving Driver Behavior
US20090037230A1 (en) * 2007-07-11 2009-02-05 Tracy Thomas J System for Electronic Application of Discounts to Insurance Policies
US20090024420A1 (en) * 2007-07-17 2009-01-22 Steve Winkler Automatic insurance adjustments using real world awareness
US20090024273A1 (en) * 2007-07-17 2009-01-22 Todd Follmer System and Method for Providing a User Interface for Vehicle Monitoring System Users and Insurers
US20100205012A1 (en) * 2007-07-17 2010-08-12 Mcclellan Scott System and method for providing a user interface for vehicle mentoring system users and insurers
US20090024419A1 (en) * 2007-07-17 2009-01-22 Mcclellan Scott System and Method for Categorizing Driving Behavior Using Driver Mentoring and/or Monitoring Equipment to Determine an Underwriting Risk
US20100094482A1 (en) * 2007-07-20 2010-04-15 Kenneth Schofield Vehicle tracking system
US20090082948A1 (en) * 2007-07-25 2009-03-26 Hitachi, Ltd. Traffic incident detection system
US20090287499A1 (en) * 2008-05-16 2009-11-19 Link Ii Charles M Method and system for automatically provisioning a device and registering vehicle modules with a telematics services provider
US20100223078A1 (en) * 2008-06-10 2010-09-02 Dale Willis Customizable insurance system
US20100063850A1 (en) * 2008-09-11 2010-03-11 Isaac Sayo Daniel System and method for determining an objective driver score
US20090063201A1 (en) * 2008-10-11 2009-03-05 Nowotarski Mark S SoberTeenTM Driving Insurance
US20100100485A1 (en) * 2008-10-20 2010-04-22 Mark Haddy System for the safe, private transmission of motor vehicle records
US20100153137A1 (en) * 2008-12-11 2010-06-17 Rao Nagaraj V Multidimensional insurance quoting system and method
US20100305977A1 (en) * 2009-05-29 2010-12-02 Hyperquest, Inc. Automation of auditing claims
US20110022417A1 (en) * 2009-07-24 2011-01-27 Rao Nagaraj V Insurance quoting system and method

Cited By (263)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10229462B2 (en) 2007-05-10 2019-03-12 Allstate Insurance Company Route risk mitigation
US11847667B2 (en) 2007-05-10 2023-12-19 Allstate Insurance Company Road segment safety rating system
US11565695B2 (en) 2007-05-10 2023-01-31 Arity International Limited Route risk mitigation
US10037579B2 (en) 2007-05-10 2018-07-31 Allstate Insurance Company Route risk mitigation
US11087405B2 (en) 2007-05-10 2021-08-10 Allstate Insurance Company System for risk mitigation based on road geometry and weather factors
US10157422B2 (en) 2007-05-10 2018-12-18 Allstate Insurance Company Road segment safety rating
US10096038B2 (en) 2007-05-10 2018-10-09 Allstate Insurance Company Road segment safety rating system
US11004152B2 (en) 2007-05-10 2021-05-11 Allstate Insurance Company Route risk mitigation
US11037247B2 (en) 2007-05-10 2021-06-15 Allstate Insurance Company Route risk mitigation
US10872380B2 (en) 2007-05-10 2020-12-22 Allstate Insurance Company Route risk mitigation
US10074139B2 (en) 2007-05-10 2018-09-11 Allstate Insurance Company Route risk mitigation
US11062341B2 (en) 2007-05-10 2021-07-13 Allstate Insurance Company Road segment safety rating system
US20100268591A1 (en) * 2009-04-16 2010-10-21 Xerox Corporation System and method for selectively controlling the use of functionality in one or more multifunction devices and subsidizing their use through advertisements
US20110082712A1 (en) * 2009-10-01 2011-04-07 DecisionQ Corporation Application of bayesian networks to patient screening and treatment
US11562323B2 (en) * 2009-10-01 2023-01-24 DecisionQ Corporation Application of bayesian networks to patient screening and treatment
US20110082746A1 (en) * 2009-10-06 2011-04-07 Christopher Rice Systems and Methods for Providing Location Based Promotions and Feedback Services
US20120150758A1 (en) * 2010-12-14 2012-06-14 Elwha LLC, a limited liability corporation of the State of Delaware Efficiency of use of a common product
US20120150551A1 (en) * 2010-12-14 2012-06-14 Elwha LLC, a limited liability corporation of the State of Delaware Efficiency of use of a shared product
US10198878B2 (en) 2010-12-15 2019-02-05 Andrew William Wright Method and system for logging vehicle behaviour
US9311271B2 (en) * 2010-12-15 2016-04-12 Andrew William Wright Method and system for logging vehicle behavior
US10198879B2 (en) 2010-12-15 2019-02-05 Andrew William Wright Method and system for logging vehicle behaviour
US11321970B2 (en) 2010-12-15 2022-05-03 Auto Telematics Ltd. Method and system for logging vehicle behavior
US9633487B2 (en) 2010-12-15 2017-04-25 Andrew William Wright Method and system for logging vehicle behavior
US10192369B2 (en) 2010-12-15 2019-01-29 Andrew William Wright Method and system for logging vehicle behaviour
US10950068B2 (en) 2010-12-15 2021-03-16 Andrew William Wright Method and system for logging vehicle behaviour
US20130302758A1 (en) * 2010-12-15 2013-11-14 Andrew William Wright Method and system for logging vehicle behavior
WO2012110974A3 (en) * 2011-02-16 2015-08-06 Discovery Holdings Limited A method of managing an insurance plan and a system therefor
US8595037B1 (en) * 2012-05-08 2013-11-26 Elwha Llc Systems and methods for insurance based on monitored characteristics of an autonomous drive mode selection system
US8849509B2 (en) * 2012-05-17 2014-09-30 Ford Global Technologies, Llc Method and apparatus for interactive vehicular advertising
US20130311036A1 (en) * 2012-05-17 2013-11-21 Ford Global Technologies, Llc Method and Apparatus for Interactive Vehicular Advertising
US9558667B2 (en) 2012-07-09 2017-01-31 Elwha Llc Systems and methods for cooperative collision detection
US9165469B2 (en) 2012-07-09 2015-10-20 Elwha Llc Systems and methods for coordinating sensor operation for collision detection
US9000903B2 (en) 2012-07-09 2015-04-07 Elwha Llc Systems and methods for vehicle monitoring
WO2014011556A1 (en) * 2012-07-09 2014-01-16 Elwha Llc Systems and methods for vehicle monitoring
US10713726B1 (en) 2013-01-13 2020-07-14 United Services Automobile Association (Usaa) Determining insurance policy modifications using informatic sensor data
US9513702B2 (en) * 2013-07-15 2016-12-06 Lg Electronics Inc. Mobile terminal for vehicular display system with gaze detection
US20150015479A1 (en) * 2013-07-15 2015-01-15 Lg Electronics Inc. Mobile terminal and control method thereof
US9776632B2 (en) 2013-07-31 2017-10-03 Elwha Llc Systems and methods for adaptive vehicle sensing systems
US9269268B2 (en) 2013-07-31 2016-02-23 Elwha Llc Systems and methods for adaptive vehicle sensing systems
US9230442B2 (en) 2013-07-31 2016-01-05 Elwha Llc Systems and methods for adaptive vehicle sensing systems
US10102584B1 (en) 2013-08-16 2018-10-16 United Services Automobile Association (Usaa) Streamlined property insurance application and renewal process
US9818158B1 (en) 2013-08-16 2017-11-14 United Services Automobile Association (Usaa) Utilizing credit and informatic data for insurance underwriting purposes
US10163162B1 (en) 2013-08-16 2018-12-25 United Services Automobile Association (Usaa) Systems and methods for utilizing imaging informatics
US10181159B1 (en) 2013-08-16 2019-01-15 United Services Automobile Association (Usaa) Determining and initiating insurance claim events
US10510121B2 (en) 2013-08-16 2019-12-17 United Stated Automobile Association (USAA) System and method for performing dwelling maintenance analytics on insured property
US10943300B1 (en) 2013-08-16 2021-03-09 United Services Automobile Association (Usaa) System and method for reconciling property operation with a budget amount based on informatics
US11461850B1 (en) 2014-01-10 2022-10-04 United Services Automobile Association (Usaa) Determining insurance policy modifications using informatic sensor data
US11526949B1 (en) 2014-01-10 2022-12-13 United Services Automobile Association (Usaa) Determining risks related to activities on insured properties using informatic sensor data
US11227339B1 (en) 2014-01-10 2022-01-18 United Services Automobile Association (Usaa) Systems and methods for utilizing imaging informatics
US10552911B1 (en) 2014-01-10 2020-02-04 United Services Automobile Association (Usaa) Determining status of building modifications using informatics sensor data
US11416941B1 (en) 2014-01-10 2022-08-16 United Services Automobile Association (Usaa) Electronic sensor management
US11164257B1 (en) 2014-01-10 2021-11-02 United Services Automobile Association (Usaa) Streamlined property insurance application and renewal process
US10977736B1 (en) 2014-01-10 2021-04-13 United Services Automobile Association (Usaa) Determining risks related to activities on insured properties using informatic sensor data
US11423429B1 (en) 2014-01-10 2022-08-23 United Services Automobile Association (Usaa) Determining status of building modifications using informatics sensor data
US10679296B1 (en) 2014-01-10 2020-06-09 United Services Automobile Association (Usaa) Systems and methods for determining insurance coverage based on informatics
US10740847B1 (en) 2014-01-10 2020-08-11 United Services Automobile Association (Usaa) Method and system for making rapid insurance policy decisions
US11941702B1 (en) 2014-01-10 2024-03-26 United Services Automobile Association (Usaa) Systems and methods for utilizing imaging informatics
US11068992B1 (en) 2014-01-10 2021-07-20 United Services Automobile Association (Usaa) Insurance policy modifications using informatic sensor data
US11087404B1 (en) 2014-01-10 2021-08-10 United Services Automobile Association (Usaa) Electronic sensor management
US11113765B1 (en) 2014-01-10 2021-09-07 United Services Automobile Association (Usaa) Determining appliance insurance coverage/products using informatic sensor data
US11526948B1 (en) 2014-01-10 2022-12-13 United Services Automobile Association (Usaa) Identifying and recommending insurance policy products/services using informatic sensor data
US10699348B1 (en) 2014-01-10 2020-06-30 United Services Automobile Association (Usaa) Utilizing credit and informatic data for insurance underwriting purposes
US11532006B1 (en) 2014-01-10 2022-12-20 United Services Automobile Association (Usaa) Determining and initiating insurance claim events
US11138672B1 (en) 2014-01-10 2021-10-05 United Services Automobile Association (Usaa) Determining and initiating insurance claim events
US11532004B1 (en) 2014-01-10 2022-12-20 United Services Automobile Association (Usaa) Utilizing credit and informatic data for insurance underwriting purposes
US11120506B1 (en) 2014-01-10 2021-09-14 United Services Automobile Association (Usaa) Streamlined property insurance application and renewal process
US11151657B1 (en) 2014-01-10 2021-10-19 United Services Automobile Association (Usaa) Insurance policy modification based on secondary informatics
US10783588B1 (en) 2014-01-10 2020-09-22 United Services Automobile Association (Usaa) Identifying and recommending insurance policy products/services using informatic sensor data
US10169771B1 (en) 2014-01-10 2019-01-01 United Services Automobile Association (Usaa) System and method to provide savings based on reduced energy consumption
US10740850B1 (en) 2014-01-24 2020-08-11 Allstate Insurance Company Reward system related to a vehicle-to-vehicle communication system
US10096067B1 (en) 2014-01-24 2018-10-09 Allstate Insurance Company Reward system related to a vehicle-to-vehicle communication system
US11295391B1 (en) 2014-01-24 2022-04-05 Allstate Insurance Company Reward system related to a vehicle-to-vehicle communication system
US10733673B1 (en) 2014-01-24 2020-08-04 Allstate Insurance Company Reward system related to a vehicle-to-vehicle communication system
US10664918B1 (en) 2014-01-24 2020-05-26 Allstate Insurance Company Insurance system related to a vehicle-to-vehicle communication system
US11551309B1 (en) 2014-01-24 2023-01-10 Allstate Insurance Company Reward system related to a vehicle-to-vehicle communication system
US20150213519A1 (en) * 2014-01-28 2015-07-30 Nissan North America, Inc. Method and device for determining vehicle condition based on non-operational factors
US10796369B1 (en) 2014-02-19 2020-10-06 Allstate Insurance Company Determining a property of an insurance policy based on the level of autonomy of a vehicle
US10956983B1 (en) 2014-02-19 2021-03-23 Allstate Insurance Company Insurance system for analysis of autonomous driving
US10803525B1 (en) 2014-02-19 2020-10-13 Allstate Insurance Company Determining a property of an insurance policy based on the autonomous features of a vehicle
US10783587B1 (en) 2014-02-19 2020-09-22 Allstate Insurance Company Determining a driver score based on the driver's response to autonomous features of a vehicle
US10783586B1 (en) 2014-02-19 2020-09-22 Allstate Insurance Company Determining a property of an insurance policy based on the density of vehicles
US11847666B1 (en) 2014-02-24 2023-12-19 United Services Automobile Association (Usaa) Determining status of building modifications using informatics sensor data
US10614525B1 (en) 2014-03-05 2020-04-07 United Services Automobile Association (Usaa) Utilizing credit and informatic data for insurance underwriting purposes
US11127084B1 (en) * 2014-05-08 2021-09-21 State Farm Mutual Automobile Insurance Company Systems and methods for identifying and assessing location-based risks for vehicles
US20210398226A1 (en) * 2014-05-08 2021-12-23 State Farm Mutual Automobile Insurance Company Systems and methods for identifying and assessing location-based risks for vehicles
US9852475B1 (en) * 2014-05-20 2017-12-26 State Farm Mutual Automobile Insurance Company Accident risk model determination using autonomous vehicle operating data
US10719885B1 (en) 2014-05-20 2020-07-21 State Farm Mutual Automobile Insurance Company Autonomous feature use monitoring and insurance pricing
US10026130B1 (en) * 2014-05-20 2018-07-17 State Farm Mutual Automobile Insurance Company Autonomous vehicle collision risk assessment
US11062396B1 (en) 2014-05-20 2021-07-13 State Farm Mutual Automobile Insurance Company Determining autonomous vehicle technology performance for insurance pricing and offering
US10319039B1 (en) 2014-05-20 2019-06-11 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US11869092B2 (en) 2014-05-20 2024-01-09 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature monitoring and evaluation of effectiveness
US10055794B1 (en) * 2014-05-20 2018-08-21 State Farm Mutual Automobile Insurance Company Determining autonomous vehicle technology performance for insurance pricing and offering
US11023629B1 (en) 2014-05-20 2021-06-01 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature evaluation
US9646428B1 (en) 2014-05-20 2017-05-09 State Farm Mutual Automobile Insurance Company Accident response using autonomous vehicle monitoring
US9972054B1 (en) 2014-05-20 2018-05-15 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US10354330B1 (en) * 2014-05-20 2019-07-16 State Farm Mutual Automobile Insurance Company Autonomous feature use monitoring and insurance pricing
US10373259B1 (en) 2014-05-20 2019-08-06 State Farm Mutual Automobile Insurance Company Fully autonomous vehicle insurance pricing
US11127086B2 (en) 2014-05-20 2021-09-21 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US10963969B1 (en) 2014-05-20 2021-03-30 State Farm Mutual Automobile Insurance Company Autonomous communication feature use and insurance pricing
US10089693B1 (en) * 2014-05-20 2018-10-02 State Farm Mutual Automobile Insurance Company Fully autonomous vehicle insurance pricing
US11010840B1 (en) 2014-05-20 2021-05-18 State Farm Mutual Automobile Insurance Company Fault determination with autonomous feature use monitoring
US11282143B1 (en) 2014-05-20 2022-03-22 State Farm Mutual Automobile Insurance Company Fully autonomous vehicle insurance pricing
US11288751B1 (en) 2014-05-20 2022-03-29 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature monitoring and evaluation of effectiveness
US9858621B1 (en) 2014-05-20 2018-01-02 State Farm Mutual Automobile Insurance Company Autonomous vehicle technology effectiveness determination for insurance pricing
US11710188B2 (en) 2014-05-20 2023-07-25 State Farm Mutual Automobile Insurance Company Autonomous communication feature use and insurance pricing
US11386501B1 (en) 2014-05-20 2022-07-12 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US11669090B2 (en) 2014-05-20 2023-06-06 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature monitoring and evaluation of effectiveness
US9805423B1 (en) * 2014-05-20 2017-10-31 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US11436685B1 (en) 2014-05-20 2022-09-06 State Farm Mutual Automobile Insurance Company Fault determination with autonomous feature use monitoring
US10504306B1 (en) 2014-05-20 2019-12-10 State Farm Mutual Automobile Insurance Company Accident response using autonomous vehicle monitoring
US11080794B2 (en) 2014-05-20 2021-08-03 State Farm Mutual Automobile Insurance Company Autonomous vehicle technology effectiveness determination for insurance pricing
US10510123B1 (en) 2014-05-20 2019-12-17 State Farm Mutual Automobile Insurance Company Accident risk model determination using autonomous vehicle operating data
US9792656B1 (en) 2014-05-20 2017-10-17 State Farm Mutual Automobile Insurance Company Fault determination with autonomous feature use monitoring
US10529027B1 (en) * 2014-05-20 2020-01-07 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature monitoring and evaluation of effectiveness
US10748218B2 (en) 2014-05-20 2020-08-18 State Farm Mutual Automobile Insurance Company Autonomous vehicle technology effectiveness determination for insurance pricing
US10181161B1 (en) * 2014-05-20 2019-01-15 State Farm Mutual Automobile Insurance Company Autonomous communication feature use
US10185997B1 (en) 2014-05-20 2019-01-22 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US11580604B1 (en) 2014-05-20 2023-02-14 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature monitoring and evaluation of effectiveness
US10599155B1 (en) 2014-05-20 2020-03-24 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature monitoring and evaluation of effectiveness
US9715711B1 (en) 2014-05-20 2017-07-25 State Farm Mutual Automobile Insurance Company Autonomous vehicle insurance pricing and offering based upon accident risk
US10726499B1 (en) 2014-05-20 2020-07-28 State Farm Mutual Automoible Insurance Company Accident fault determination for autonomous vehicles
US10726498B1 (en) 2014-05-20 2020-07-28 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US9754325B1 (en) * 2014-05-20 2017-09-05 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature monitoring and evaluation of effectiveness
US10223479B1 (en) 2014-05-20 2019-03-05 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature evaluation
US9767516B1 (en) * 2014-05-20 2017-09-19 State Farm Mutual Automobile Insurance Company Driver feedback alerts based upon monitoring use of autonomous vehicle
US10719886B1 (en) 2014-05-20 2020-07-21 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US10185999B1 (en) 2014-05-20 2019-01-22 State Farm Mutual Automobile Insurance Company Autonomous feature use monitoring and telematics
US11634103B2 (en) 2014-07-21 2023-04-25 State Farm Mutual Automobile Insurance Company Methods of facilitating emergency assistance
US11030696B1 (en) 2014-07-21 2021-06-08 State Farm Mutual Automobile Insurance Company Methods of providing insurance savings based upon telematics and anonymous driver data
US10723312B1 (en) 2014-07-21 2020-07-28 State Farm Mutual Automobile Insurance Company Methods of theft prevention or mitigation
US11565654B2 (en) 2014-07-21 2023-01-31 State Farm Mutual Automobile Insurance Company Methods of providing insurance savings based upon telematics and driving behavior identification
US11257163B1 (en) 2014-07-21 2022-02-22 State Farm Mutual Automobile Insurance Company Methods of pre-generating insurance claims
US11068995B1 (en) 2014-07-21 2021-07-20 State Farm Mutual Automobile Insurance Company Methods of reconstructing an accident scene using telematics data
US10102587B1 (en) 2014-07-21 2018-10-16 State Farm Mutual Automobile Insurance Company Methods of pre-generating insurance claims
US9786154B1 (en) 2014-07-21 2017-10-10 State Farm Mutual Automobile Insurance Company Methods of facilitating emergency assistance
US10540723B1 (en) 2014-07-21 2020-01-21 State Farm Mutual Automobile Insurance Company Methods of providing insurance savings based upon telematics and usage-based insurance
US9783159B1 (en) 2014-07-21 2017-10-10 State Farm Mutual Automobile Insurance Company Methods of theft prevention or mitigation
US11069221B1 (en) 2014-07-21 2021-07-20 State Farm Mutual Automobile Insurance Company Methods of facilitating emergency assistance
US10387962B1 (en) 2014-07-21 2019-08-20 State Farm Mutual Automobile Insurance Company Methods of reconstructing an accident scene using telematics data
US10825326B1 (en) 2014-07-21 2020-11-03 State Farm Mutual Automobile Insurance Company Methods of facilitating emergency assistance
US10832327B1 (en) 2014-07-21 2020-11-10 State Farm Mutual Automobile Insurance Company Methods of providing insurance savings based upon telematics and driving behavior identification
US10974693B1 (en) 2014-07-21 2021-04-13 State Farm Mutual Automobile Insurance Company Methods of theft prevention or mitigation
US11634102B2 (en) 2014-07-21 2023-04-25 State Farm Mutual Automobile Insurance Company Methods of facilitating emergency assistance
US10475127B1 (en) 2014-07-21 2019-11-12 State Farm Mutual Automobile Insurance Company Methods of providing insurance savings based upon telematics and insurance incentives
US10997849B1 (en) 2014-07-21 2021-05-04 State Farm Mutual Automobile Insurance Company Methods of facilitating emergency assistance
US10068394B2 (en) * 2014-09-14 2018-09-04 Crown Equipment Corporation Dynamic industrial vehicle measure
US20210150831A1 (en) * 2014-09-14 2021-05-20 Crown Equipment Corporation Dynamic industrial vehicle measure
US9607453B2 (en) * 2014-09-14 2017-03-28 Crown Equipment Corporation Dynamic industrial vehicle measure
US20160078694A1 (en) * 2014-09-14 2016-03-17 Crown Equipment Corporation Dynamic industrial vehicle measure
US11615655B2 (en) * 2014-09-14 2023-03-28 Crown Equipment Corporation Dynamic industrial vehicle measure
US20190088045A1 (en) * 2014-09-14 2019-03-21 Crown Equipment Corporation Dynamic industrial vehicle measure
US10846953B2 (en) * 2014-09-14 2020-11-24 Crown Equipment Corporation Dynamic industrial vehicle measure
US10991049B1 (en) 2014-09-23 2021-04-27 United Services Automobile Association (Usaa) Systems and methods for acquiring insurance related informatics
US11900470B1 (en) 2014-09-23 2024-02-13 United Services Automobile Association (Usaa) Systems and methods for acquiring insurance related informatics
US11748085B2 (en) 2014-11-13 2023-09-05 State Farm Mutual Automobile Insurance Company Autonomous vehicle operator identification
US10940866B1 (en) 2014-11-13 2021-03-09 State Farm Mutual Automobile Insurance Company Autonomous vehicle operating status assessment
US10824415B1 (en) 2014-11-13 2020-11-03 State Farm Automobile Insurance Company Autonomous vehicle software version assessment
US11532187B1 (en) 2014-11-13 2022-12-20 State Farm Mutual Automobile Insurance Company Autonomous vehicle operating status assessment
US10915965B1 (en) 2014-11-13 2021-02-09 State Farm Mutual Automobile Insurance Company Autonomous vehicle insurance based upon usage
US11726763B2 (en) 2014-11-13 2023-08-15 State Farm Mutual Automobile Insurance Company Autonomous vehicle automatic parking
US10943303B1 (en) 2014-11-13 2021-03-09 State Farm Mutual Automobile Insurance Company Autonomous vehicle operating style and mode monitoring
US10241509B1 (en) 2014-11-13 2019-03-26 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US10824144B1 (en) 2014-11-13 2020-11-03 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US10821971B1 (en) 2014-11-13 2020-11-03 State Farm Mutual Automobile Insurance Company Autonomous vehicle automatic parking
US11173918B1 (en) 2014-11-13 2021-11-16 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US11175660B1 (en) 2014-11-13 2021-11-16 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US11740885B1 (en) 2014-11-13 2023-08-29 State Farm Mutual Automobile Insurance Company Autonomous vehicle software version assessment
US11645064B2 (en) 2014-11-13 2023-05-09 State Farm Mutual Automobile Insurance Company Autonomous vehicle accident and emergency response
US9944282B1 (en) 2014-11-13 2018-04-17 State Farm Mutual Automobile Insurance Company Autonomous vehicle automatic parking
US11720968B1 (en) 2014-11-13 2023-08-08 State Farm Mutual Automobile Insurance Company Autonomous vehicle insurance based upon usage
US11247670B1 (en) 2014-11-13 2022-02-15 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US10416670B1 (en) 2014-11-13 2019-09-17 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US10431018B1 (en) 2014-11-13 2019-10-01 State Farm Mutual Automobile Insurance Company Autonomous vehicle operating status assessment
US10266180B1 (en) 2014-11-13 2019-04-23 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US10353694B1 (en) 2014-11-13 2019-07-16 State Farm Mutual Automobile Insurance Company Autonomous vehicle software version assessment
US11127290B1 (en) 2014-11-13 2021-09-21 State Farm Mutual Automobile Insurance Company Autonomous vehicle infrastructure communication device
US9946531B1 (en) 2014-11-13 2018-04-17 State Farm Mutual Automobile Insurance Company Autonomous vehicle software version assessment
US11014567B1 (en) 2014-11-13 2021-05-25 State Farm Mutual Automobile Insurance Company Autonomous vehicle operator identification
US10157423B1 (en) 2014-11-13 2018-12-18 State Farm Mutual Automobile Insurance Company Autonomous vehicle operating style and mode monitoring
US10336321B1 (en) 2014-11-13 2019-07-02 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US11494175B2 (en) 2014-11-13 2022-11-08 State Farm Mutual Automobile Insurance Company Autonomous vehicle operating status assessment
US10166994B1 (en) 2014-11-13 2019-01-01 State Farm Mutual Automobile Insurance Company Autonomous vehicle operating status assessment
US10831204B1 (en) 2014-11-13 2020-11-10 State Farm Mutual Automobile Insurance Company Autonomous vehicle automatic parking
US10007263B1 (en) 2014-11-13 2018-06-26 State Farm Mutual Automobile Insurance Company Autonomous vehicle accident and emergency response
US11500377B1 (en) 2014-11-13 2022-11-15 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US10246097B1 (en) 2014-11-13 2019-04-02 State Farm Mutual Automobile Insurance Company Autonomous vehicle operator identification
US9830665B1 (en) * 2014-11-14 2017-11-28 United Services Automobile Association Telematics system, apparatus and method
US10929934B1 (en) 2015-05-27 2021-02-23 United Services Automobile Association (Usaa) Roof inspection systems and methods
US10489863B1 (en) 2015-05-27 2019-11-26 United Services Automobile Association (Usaa) Roof inspection systems and methods
US10769954B1 (en) 2015-08-28 2020-09-08 State Farm Mutual Automobile Insurance Company Vehicular driver warnings
US10748419B1 (en) 2015-08-28 2020-08-18 State Farm Mutual Automobile Insurance Company Vehicular traffic alerts for avoidance of abnormal traffic conditions
US10343605B1 (en) 2015-08-28 2019-07-09 State Farm Mutual Automotive Insurance Company Vehicular warning based upon pedestrian or cyclist presence
US11107365B1 (en) 2015-08-28 2021-08-31 State Farm Mutual Automobile Insurance Company Vehicular driver evaluation
US10163350B1 (en) 2015-08-28 2018-12-25 State Farm Mutual Automobile Insurance Company Vehicular driver warnings
US10242513B1 (en) 2015-08-28 2019-03-26 State Farm Mutual Automobile Insurance Company Shared vehicle usage, monitoring and feedback
US10019901B1 (en) 2015-08-28 2018-07-10 State Farm Mutual Automobile Insurance Company Vehicular traffic alerts for avoidance of abnormal traffic conditions
US10950065B1 (en) 2015-08-28 2021-03-16 State Farm Mutual Automobile Insurance Company Shared vehicle usage, monitoring and feedback
US10325491B1 (en) 2015-08-28 2019-06-18 State Farm Mutual Automobile Insurance Company Vehicular traffic alerts for avoidance of abnormal traffic conditions
US9805601B1 (en) 2015-08-28 2017-10-31 State Farm Mutual Automobile Insurance Company Vehicular traffic alerts for avoidance of abnormal traffic conditions
US11450206B1 (en) 2015-08-28 2022-09-20 State Farm Mutual Automobile Insurance Company Vehicular traffic alerts for avoidance of abnormal traffic conditions
US10977945B1 (en) 2015-08-28 2021-04-13 State Farm Mutual Automobile Insurance Company Vehicular driver warnings
US10106083B1 (en) 2015-08-28 2018-10-23 State Farm Mutual Automobile Insurance Company Vehicular warnings based upon pedestrian or cyclist presence
US9868394B1 (en) 2015-08-28 2018-01-16 State Farm Mutual Automobile Insurance Company Vehicular warnings based upon pedestrian or cyclist presence
US9870649B1 (en) 2015-08-28 2018-01-16 State Farm Mutual Automobile Insurance Company Shared vehicle usage, monitoring and feedback
US10026237B1 (en) 2015-08-28 2018-07-17 State Farm Mutual Automobile Insurance Company Shared vehicle usage, monitoring and feedback
US11181930B1 (en) 2016-01-22 2021-11-23 State Farm Mutual Automobile Insurance Company Method and system for enhancing the functionality of a vehicle
US10691126B1 (en) 2016-01-22 2020-06-23 State Farm Mutual Automobile Insurance Company Autonomous vehicle refueling
US11189112B1 (en) 2016-01-22 2021-11-30 State Farm Mutual Automobile Insurance Company Autonomous vehicle sensor malfunction detection
US10295363B1 (en) 2016-01-22 2019-05-21 State Farm Mutual Automobile Insurance Company Autonomous operation suitability assessment and mapping
US9940834B1 (en) 2016-01-22 2018-04-10 State Farm Mutual Automobile Insurance Company Autonomous vehicle application
US11242051B1 (en) 2016-01-22 2022-02-08 State Farm Mutual Automobile Insurance Company Autonomous vehicle action communications
US11920938B2 (en) 2016-01-22 2024-03-05 Hyundai Motor Company Autonomous electric vehicle charging
US10065517B1 (en) 2016-01-22 2018-09-04 State Farm Mutual Automobile Insurance Company Autonomous electric vehicle charging
US10829063B1 (en) 2016-01-22 2020-11-10 State Farm Mutual Automobile Insurance Company Autonomous vehicle damage and salvage assessment
US10828999B1 (en) 2016-01-22 2020-11-10 State Farm Mutual Automobile Insurance Company Autonomous electric vehicle charging
US10824145B1 (en) 2016-01-22 2020-11-03 State Farm Mutual Automobile Insurance Company Autonomous vehicle component maintenance and repair
US10249109B1 (en) 2016-01-22 2019-04-02 State Farm Mutual Automobile Insurance Company Autonomous vehicle sensor malfunction detection
US10308246B1 (en) 2016-01-22 2019-06-04 State Farm Mutual Automobile Insurance Company Autonomous vehicle signal control
US11348193B1 (en) 2016-01-22 2022-05-31 State Farm Mutual Automobile Insurance Company Component damage and salvage assessment
US10818105B1 (en) 2016-01-22 2020-10-27 State Farm Mutual Automobile Insurance Company Sensor malfunction detection
US10802477B1 (en) 2016-01-22 2020-10-13 State Farm Mutual Automobile Insurance Company Virtual testing of autonomous environment control system
US10134278B1 (en) 2016-01-22 2018-11-20 State Farm Mutual Automobile Insurance Company Autonomous vehicle application
US10156848B1 (en) 2016-01-22 2018-12-18 State Farm Mutual Automobile Insurance Company Autonomous vehicle routing during emergencies
US11441916B1 (en) 2016-01-22 2022-09-13 State Farm Mutual Automobile Insurance Company Autonomous vehicle trip routing
US11124186B1 (en) 2016-01-22 2021-09-21 State Farm Mutual Automobile Insurance Company Autonomous vehicle control signal
US11126184B1 (en) 2016-01-22 2021-09-21 State Farm Mutual Automobile Insurance Company Autonomous vehicle parking
US10395332B1 (en) 2016-01-22 2019-08-27 State Farm Mutual Automobile Insurance Company Coordinated autonomous vehicle automatic area scanning
US11016504B1 (en) 2016-01-22 2021-05-25 State Farm Mutual Automobile Insurance Company Method and system for repairing a malfunctioning autonomous vehicle
US11513521B1 (en) 2016-01-22 2022-11-29 State Farm Mutual Automobile Insurance Copmany Autonomous vehicle refueling
US10747234B1 (en) 2016-01-22 2020-08-18 State Farm Mutual Automobile Insurance Company Method and system for enhancing the functionality of a vehicle
US11526167B1 (en) 2016-01-22 2022-12-13 State Farm Mutual Automobile Insurance Company Autonomous vehicle component maintenance and repair
US11119477B1 (en) 2016-01-22 2021-09-14 State Farm Mutual Automobile Insurance Company Anomalous condition detection and response for autonomous vehicles
US10168703B1 (en) 2016-01-22 2019-01-01 State Farm Mutual Automobile Insurance Company Autonomous vehicle component malfunction impact assessment
US10185327B1 (en) 2016-01-22 2019-01-22 State Farm Mutual Automobile Insurance Company Autonomous vehicle path coordination
US10086782B1 (en) 2016-01-22 2018-10-02 State Farm Mutual Automobile Insurance Company Autonomous vehicle damage and salvage assessment
US10679497B1 (en) 2016-01-22 2020-06-09 State Farm Mutual Automobile Insurance Company Autonomous vehicle application
US11879742B2 (en) 2016-01-22 2024-01-23 State Farm Mutual Automobile Insurance Company Autonomous vehicle application
US10324463B1 (en) 2016-01-22 2019-06-18 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation adjustment based upon route
US11022978B1 (en) 2016-01-22 2021-06-01 State Farm Mutual Automobile Insurance Company Autonomous vehicle routing during emergencies
US10579070B1 (en) 2016-01-22 2020-03-03 State Farm Mutual Automobile Insurance Company Method and system for repairing a malfunctioning autonomous vehicle
US11600177B1 (en) 2016-01-22 2023-03-07 State Farm Mutual Automobile Insurance Company Autonomous vehicle application
US10545024B1 (en) 2016-01-22 2020-01-28 State Farm Mutual Automobile Insurance Company Autonomous vehicle trip routing
US11625802B1 (en) 2016-01-22 2023-04-11 State Farm Mutual Automobile Insurance Company Coordinated autonomous vehicle automatic area scanning
US10503168B1 (en) 2016-01-22 2019-12-10 State Farm Mutual Automotive Insurance Company Autonomous vehicle retrieval
US10493936B1 (en) 2016-01-22 2019-12-03 State Farm Mutual Automobile Insurance Company Detecting and responding to autonomous vehicle collisions
US10042359B1 (en) 2016-01-22 2018-08-07 State Farm Mutual Automobile Insurance Company Autonomous vehicle refueling
US11656978B1 (en) 2016-01-22 2023-05-23 State Farm Mutual Automobile Insurance Company Virtual testing of autonomous environment control system
US10482226B1 (en) 2016-01-22 2019-11-19 State Farm Mutual Automobile Insurance Company System and method for autonomous vehicle sharing using facial recognition
US11682244B1 (en) 2016-01-22 2023-06-20 State Farm Mutual Automobile Insurance Company Smart home sensor malfunction detection
US10469282B1 (en) 2016-01-22 2019-11-05 State Farm Mutual Automobile Insurance Company Detecting and responding to autonomous environment incidents
US11719545B2 (en) 2016-01-22 2023-08-08 Hyundai Motor Company Autonomous vehicle component damage and salvage assessment
US11015942B1 (en) 2016-01-22 2021-05-25 State Farm Mutual Automobile Insurance Company Autonomous vehicle routing
US10384678B1 (en) 2016-01-22 2019-08-20 State Farm Mutual Automobile Insurance Company Autonomous vehicle action communications
US10386192B1 (en) 2016-01-22 2019-08-20 State Farm Mutual Automobile Insurance Company Autonomous vehicle routing
US10386845B1 (en) 2016-01-22 2019-08-20 State Farm Mutual Automobile Insurance Company Autonomous vehicle parking
US11062414B1 (en) 2016-01-22 2021-07-13 State Farm Mutual Automobile Insurance Company System and method for autonomous vehicle ride sharing using facial recognition
US20170221149A1 (en) * 2016-02-02 2017-08-03 Allstate Insurance Company Subjective route risk mapping and mitigation
US10885592B2 (en) 2016-02-02 2021-01-05 Allstate Insurance Company Subjective route risk mapping and mitigation
US10269075B2 (en) * 2016-02-02 2019-04-23 Allstate Insurance Company Subjective route risk mapping and mitigation
US10668930B1 (en) * 2019-02-04 2020-06-02 State Farm Mutual Automobile Insurance Company Determining acceptable driving behavior based on vehicle specific characteristics
US11332149B1 (en) 2019-02-04 2022-05-17 State Farm Mutual Automobile Insurance Company Determining acceptable driving behavior based on vehicle specific characteristics
US11107175B2 (en) * 2019-11-12 2021-08-31 Here Global B.V. Method, apparatus, and system for providing ride-sharing functions based on joint motion
US11954482B2 (en) 2022-10-11 2024-04-09 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection

Also Published As

Publication number Publication date
US20100131300A1 (en) 2010-05-27
US20100131308A1 (en) 2010-05-27
US20100131302A1 (en) 2010-05-27
US20100131303A1 (en) 2010-05-27
US20140100892A1 (en) 2014-04-10
US20150339780A1 (en) 2015-11-26
US20100131301A1 (en) 2010-05-27
US20150324927A1 (en) 2015-11-12
US8484113B2 (en) 2013-07-09
US9996884B2 (en) 2018-06-12
US8255275B2 (en) 2012-08-28
US8620692B2 (en) 2013-12-31
US20100131304A1 (en) 2010-05-27
WO2010062899A1 (en) 2010-06-03
US20150324928A1 (en) 2015-11-12
US20180260908A1 (en) 2018-09-13
US20130297418A1 (en) 2013-11-07
US20120259666A1 (en) 2012-10-11
US20100131305A1 (en) 2010-05-27

Similar Documents

Publication Publication Date Title
US8484113B2 (en) Incentivized adoption of time-dependent insurance benefits
US11501377B2 (en) System and method for dynamic insurance coverage in a subscription vehicle service
US11030702B1 (en) Mobile insurance platform system
US11562435B2 (en) Apparatus for a dynamic, score-based, telematics connection search engine and aggregator and corresponding method thereof
US11481848B1 (en) Blockchain controlled multi-carrier auction system for usage-based auto insurance
US11074617B2 (en) In-vehicle access
AU2013262776B2 (en) Techniques in transit advertising
US20200090203A1 (en) Rewards for custom data transmissions
US20140278574A1 (en) System and method for developing a driver safety rating
US9984420B1 (en) System and method for determining an insurance premium based on analysis of human telematic data and vehicle telematic data
US20120209634A1 (en) Vehicle monitoring system
US20200065908A1 (en) System and method for dynamic insurance coverage in a subscription vehicle service
US9984419B1 (en) System and method for determining an insurance premium based on analysis of human telematic data and vehicle telematic data
US11663675B1 (en) Systems and methods for automatic detection of gig-economy activity
US10643287B1 (en) System and method for determining an insurance premium based on analysis of human telematic data and vehicle telematic data
KR102312984B1 (en) Apparatus and method for providing driver insurance product based on driving information
US11361388B1 (en) Blockchain systems and methods for managing usage-based contracts

Legal Events

Date Code Title Description
AS Assignment

Owner name: RCK-IP LLC, MARYLAND

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:KROSKY, RONALD C.;REEL/FRAME:028686/0732

Effective date: 20120729

AS Assignment

Owner name: GREAT LAKES INCUBATOR, LLC, OHIO

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:COLLOPY, FRED;NARD, CRAIG ALLEN;REEL/FRAME:029707/0234

Effective date: 20130118

Owner name: GREAT LAKES INCUBATOR, LLC, OHIO

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:TW VI HOLDINGS, LLC;REEL/FRAME:029707/0188

Effective date: 20130128

AS Assignment

Owner name: TW VI HOLDINGS LLC, OHIO

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:AMIN, HIMANSHU S.;TUROCY, GREGORY;SHARIFI TAKIEH, SEYED VAHID;AND OTHERS;SIGNING DATES FROM 20100601 TO 20121207;REEL/FRAME:029735/0943

STCB Information on status: application discontinuation

Free format text: ABANDONED -- AFTER EXAMINER'S ANSWER OR BOARD OF APPEALS DECISION