EP1022703A2 - Method of organizing traffic flows to control optimally the traffic and to plan road networks according to the needs - Google Patents
Method of organizing traffic flows to control optimally the traffic and to plan road networks according to the needs Download PDFInfo
- Publication number
- EP1022703A2 EP1022703A2 EP00100862A EP00100862A EP1022703A2 EP 1022703 A2 EP1022703 A2 EP 1022703A2 EP 00100862 A EP00100862 A EP 00100862A EP 00100862 A EP00100862 A EP 00100862A EP 1022703 A2 EP1022703 A2 EP 1022703A2
- Authority
- EP
- European Patent Office
- Prior art keywords
- traffic
- analysis
- vehicles
- observation area
- traffic flow
- 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.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
Definitions
- the invention relates to a method for analyzing traffic flows optimized traffic flow control as well as for the needs-based planning of Road traffic networks, according to the preamble of claim 1.
- Traffic flow analysis as the basis for traffic flow control and Route planning is sometimes created using a counting process. In doing so usually all vehicles in the relevant traffic sections in the Period of observation counted manually. This leads to a statement on time-dependent traffic density and accordingly a possible need for Roadway expansion. The process has its limits in recording more complex dependencies, for example in the intersection area. Then it is common the temporary placement of counters at all entrances and exits, which recorded both vehicle density and traffic behavior of the vehicles, e.g. how many vehicles bend where from or similar This can be followed by Evaluation conclusions on, for example, traffic light control and number of Draw tracks.
- this method cannot be used if, for example, the distances are too large and unmanageable, there is frequent lane change of the vehicles and there are also high vehicle speeds and high traffic volumes.
- FIG. 1 A multi-lane motorway contains three junctions a, b and c and three exits d, e and f in a relatively short succession. Now, one could record the traffic density in all ways by manually or automatically counting the passing vehicles, but the actual cause of the congestion cannot be determined, since this method does not make it possible to say which traffic flows lead to which proportions and where.
- a possible lane extension of the motorway does not help in the case under consideration if there is a high statistical traffic mix on all entrances and exits.
- the cause of the traffic jam is often the mutual blocking of the vehicles when the lane change is sometimes absolutely necessary or supposedly advantageous, whereby the theoretical throughput limit of the respective lanes and the arrival and departure are far from being reached.
- the remedy of the traffic problem could be an additional connection ae (bypass) between the traffic routes a and e, as shown in FIG. 2.
- ae bypass
- the present invention is intended to remedy this situation.
- the object of the present invention is a method propose, on the basis of which an automatic analysis of complex Traffic flows for the purpose of optimized traffic flow control and more needs-based Planning of road networks is possible.
- the method according to the invention is based on a comprehensive sensory Detection of a traffic segment or observation area to be considered, at least one recording at all arrival and arrival points of the Traffic section, and on a vehicle-specific detection and Traffic tracking and automatic traffic evaluation.
- First priority is interested in the statistical distribution of traffic flows Origin and destination of all individual vehicles, but also the statistical one Evaluation of lane change processes. Based on the analysis created can initially be computer-aided in the further development process Traffic simulation with optimization and subsequent actual Traffic routes are optimized.
- the method preferably requires at least temporary installation optical sensors on all lanes, preferably at the limits of the Observation area and for the purpose of tracking lane change accordingly points of interest within the area under consideration, with one sufficiently reliable vehicle identification for statistical analysis by reproducible criteria, for example the evaluation of the Number plate, or an alternative vehicle analysis based on dimensions, color, Number and characteristics of recognizable persons, noise behavior, or electronic recognition mechanisms (e.g. responders) to identify the Vehicles or similar
- the description / identification of the vehicles is done for the purpose Acceleration and simplification of IT processes, preferably using the parameter sets assigned to optical criteria.
- a station-independent higher-level evaluation process a permanent statistical evaluation of the complex traffic flow enables all desired parameters and at least the analyzed values for later viewing and use in resistant Storage devices are saved.
- Another embodiment of the invention provides that statistical Traffic flow data are saved in long-term storage in such a way that they alternative for later computer-aided simulation Traffic flow control models or modified traffic routing for the purpose Optimization of the traffic flow in the traffic section / observation area are usable.
- Another technical implementation provides that the process of Vehicle identification through a process of permanent complete Vehicle tracking - using a pattern recognition method
- Software procedure - takes place in the entire traffic section / observation area, in this case, the entire observation area with corresponding sensors, e.g. optical sensors, must be detected and the collected data for evaluation and analysis to a common complete data set, e.g. an overall image, for subsequent Evaluation can be compiled.
- FIG. 1 Figures 1 and 2 have already been described in the introductory part, in which further assumed, for example, a traffic section according to FIG. 1 becomes.
- FIG. 3 shows the preferred analysis positions for the traffic section under consideration, ie the preferred arrangement of the detection sensors is here identified with the numbers 1-12.
- the detection sensors are primarily arranged at the entrances and exits of the traffic section and on the main route between the entrances and exits.
- At each individual position 1-12 there is first an analysis of the vehicles passing by, with the recording system of all access points 1, 7, 9 and 11 performing the task of identifying and additionally identifying and temporarily storing the vehicles in a database including additional required parameters, such as, for example Have time, speed, lane, location, relative position to other vehicles etc.
- the arrangement of the preferably optical sensors 1-12 can for example on temporarily or permanently installed assembly bridges or masts in appropriate height across the road, or for example at appropriate speed limit between the lanes - here however, with a corresponding traffic impairment. If each only one or two lanes are available, is also an arrangement of Sensors on the roadside possible.
- Additional criteria such as the position between others Stored vehicles can be used for recognition.
- FIG. 4 shows an example of decentralized data acquisition by means of optical Sensors, e.g. Cameras, one in the example shown Data acquisition computer (ER) all possibly required track sensors (a, b, c) one respective observation position and preprocessed the data in such a way that each registered vehicle individually with a fixed one and for everyone Data acquisition computer is described identical parameter set that then including the required location and time-specific Traffic flow parameters to the central evaluation or analysis computer (AR) is transmitted. The storage and assignment, as well as the statistical All data is then evaluated in the central evaluation or Analysis computer.
- optical Sensors e.g. Cameras
- ER Data acquisition computer
- AR central evaluation or analysis computer
- An alternative to the vehicle identification method described is a method with object-related tracking of all vehicles in the event that the entire observation area is monitored in a closed form so that for an analysis system based, for example, on optical detection There are gaps in vehicle tracking.
Abstract
Description
Die Erfindung betrifft ein Verfahren zur Analyse von Verkehrsflüssen zur optimierten Verkehrsflusssteuerung sowie zur bedarfsgerechten Planung von Straßenverkehrsnetzen, nach dem Oberbegriff des Patentanspruchs 1.The invention relates to a method for analyzing traffic flows optimized traffic flow control as well as for the needs-based planning of Road traffic networks, according to the preamble of claim 1.
Die Verkehrsflussanalyse als Basis für die Verkehrsflusssteuerung und Streckenplanung wird bisweilen mittels Zählverfahren erstellt. Dabei werden gewöhnlich alle Fahrzeuge der in Frage kommenden Verkehrsabschnitte im Betrachtungszeitraum manuell gezählt. Hieraus ergibt sich eine Aussage zur zeitabhängigen Verkehrsdichte und demgemäss ein etwaiger Bedarf zum Fahrbahnausbau. Das Verfahren findet seine Grenzen in der Erfassung komplexerer Abhängigkeiten, beispielsweise im Kreuzungsbereich. Üblich ist dann die zeitweise Platzierung von Zählpersonen an allen Ein- und Ausfahrten, welche sowohl Fahrzeugdichte, als auch Verkehrsverhalten der Fahrzeuge erfassten, z.B. wie viele Fahrzeuge biegen wo ab o.ä. Daraus lassen sich durch anschließende Auswertung Rückschlüsse auf beispielsweise Ampelsteuerung und Anzahl der Spuren ziehen.Traffic flow analysis as the basis for traffic flow control and Route planning is sometimes created using a counting process. In doing so usually all vehicles in the relevant traffic sections in the Period of observation counted manually. This leads to a statement on time-dependent traffic density and accordingly a possible need for Roadway expansion. The process has its limits in recording more complex dependencies, for example in the intersection area. Then it is common the temporary placement of counters at all entrances and exits, which recorded both vehicle density and traffic behavior of the vehicles, e.g. how many vehicles bend where from or similar This can be followed by Evaluation conclusions on, for example, traffic light control and number of Draw tracks.
Bei extremen Anwendungsfällen ist dieses Verfahren nicht verwendbar, wenn
beispielsweise die Entfernungen zu groß und unüberschaubar sind, häufiger
Spurwechsel der Fahrzeuge vorliegt und zudem hohe Fahrzeuggeschwindigkeiten
und hohes Verkehrsaufkommen vorhanden sind.
Dies ist beispielhaft in Figur 1 dargestellt. Eine mehrspurige Autobahn enthält in
relativ kurzer Folge drei Einmündungen a, b und c sowie drei Abfahrten d, e und f.
Nun könnte man durch manuelles oder auch automatisches Zählen der
passierenden Fahrzeuge zwar die Verkehrsdichte auf allen Wegen erfassen, die
eigentliche Ursache für die Entstehung von Staus ist damit jedoch nicht
ermittelbar, da dieses Verfahren keine Aussage ermöglicht, welche
Verkehrsströme zu welchen Anteilen wohin führen. Auch eine etwaige
Erweiterung der Autobahn um eine weitere Spur bringt im betrachteten Fall keine
Abhilfe, wenn eine hohe statistische Verkehrsmischung auf alle Ein- und
Abfahrten vorliegt. Die Stauursache liegt dann oft in der gegenseitigen
Blockierung der Fahrzeuge beim zuweilen zwingend erforderlichen oder
vermeintlich vorteilhaften Spurwechsel, wobei die theoretische Durchsatzgrenze
der jeweiligen Fahrspuren sowie der An- und Abfahrten bei weitem nicht erreicht
wird.In extreme applications, this method cannot be used if, for example, the distances are too large and unmanageable, there is frequent lane change of the vehicles and there are also high vehicle speeds and high traffic volumes.
This is shown by way of example in FIG. 1. A multi-lane motorway contains three junctions a, b and c and three exits d, e and f in a relatively short succession. Now, one could record the traffic density in all ways by manually or automatically counting the passing vehicles, but the actual cause of the congestion cannot be determined, since this method does not make it possible to say which traffic flows lead to which proportions and where. A possible lane extension of the motorway does not help in the case under consideration if there is a high statistical traffic mix on all entrances and exits. The cause of the traffic jam is often the mutual blocking of the vehicles when the lane change is sometimes absolutely necessary or supposedly advantageous, whereby the theoretical throughput limit of the respective lanes and the arrival and departure are far from being reached.
Im vorliegenden Beispiel nach Figur 1 könnte die Abhilfe der Verkehrsproblematik
in einer zusätzlichen Verbindung a-e (Beipaß) zwischen den Verkehrswegen a
und e bestehen, wie es in Fig. 2 dargestellt ist.
In der Praxis ist die komplexe Analyse und Verkehrsoptimierung in solchen Fällen
aus vorgenannten Gründen jedoch nicht möglich, was der täglichen Situation auf
den Autobahnen zu entnehmen ist.In the present example according to FIG. 1, the remedy of the traffic problem could be an additional connection ae (bypass) between the traffic routes a and e, as shown in FIG. 2.
In practice, however, the complex analysis and traffic optimization in such cases is not possible for the aforementioned reasons, which can be seen from the daily situation on the motorways.
Dieser Situation soll mit der vorliegenden Erfindung Abhilfe geschaffen werden.The present invention is intended to remedy this situation.
Der vorliegende Erfindung liegt die Aufgabe zugrunde, ein Verfahren vorzuschlagen, auf dessen Basis eine automatische Analyse komplexer Verkehrsflüsse zwecks optimierter Verkehrsflusssteuerung und bedarfsgerechter Planung von Straßenverkehrsnetzen möglich ist.The object of the present invention is a method propose, on the basis of which an automatic analysis of complex Traffic flows for the purpose of optimized traffic flow control and more needs-based Planning of road networks is possible.
Gelöst wird diese Aufgabe durch die kennzeichnenden Merkmale des Patentanspruchs 1.This task is solved by the characteristic features of the Claim 1.
Das erfindungsgemäße Verfahren basiert auf einer umfassenden sensorischen Erfassung eines zu betrachteten Verkehrsabschnitts oder Beobachtungsgebiets, zumindest einer Erfassung an allen An- und Zufahrtspunkten des Verkehrsabschnitts, sowie auf einer fahrzeugindividuellen Erkennung und Verkehrsverfolgung sowie einer automatischen Verkehrsauswertung. Vorrangig interessiert hierbei die statistische Aufteilung der Verkehrsflüsse bezüglich Ursprung und Ziel aller individuellen Fahrzeuge, aber auch die statistische Auswertung von Spurwechselvorgängen. Auf der Basis der erstellten Analyse kann im weiteren Entwicklungsprozess zunächst eine rechnergestützte Verkehrssimulation mit Optimierung und anschließender tatsächlicher Verkehrswegeoptimierung erfolgen.The method according to the invention is based on a comprehensive sensory Detection of a traffic segment or observation area to be considered, at least one recording at all arrival and arrival points of the Traffic section, and on a vehicle-specific detection and Traffic tracking and automatic traffic evaluation. First priority is interested in the statistical distribution of traffic flows Origin and destination of all individual vehicles, but also the statistical one Evaluation of lane change processes. Based on the analysis created can initially be computer-aided in the further development process Traffic simulation with optimization and subsequent actual Traffic routes are optimized.
Das Verfahren bedingt die zumindest zeitweise Installation vorzugsweise optischer Sensoren an allen Fahrspuren, vorzugsweise an den Grenzen des Betrachtungsgebietes sowie zwecks Spurwechselverfolgung an demgemäss interessanten Punkten innerhalb des Betrachtungsgebietes, wobei eine hinreichend zuverlässige Fahrzeugidentifikation für die statistische Auswertung durch reproduzierbare Kriterien erfolgt, beispielsweise die Auswertung des Kennzeichens, oder eine alternative Fahrzeuganalyse nach Abmessung, Farbe, Anzahl und Merkmale der erkennbaren Personen, Geräuschverhalten, oder elektronischen Erkennungsmechanismen (z.B. Respondern) zur Identifikation der Fahrzeuge o.ä. Die Beschreibung/Identifikation der Fahrzeuge erfolgt zwecks Beschleunigung und Vereinfachung der EDV-Prozesse vorzugsweise mittels den optischen Kriterien zugeordneten Parametersätzen.The method preferably requires at least temporary installation optical sensors on all lanes, preferably at the limits of the Observation area and for the purpose of tracking lane change accordingly points of interest within the area under consideration, with one sufficiently reliable vehicle identification for statistical analysis by reproducible criteria, for example the evaluation of the Number plate, or an alternative vehicle analysis based on dimensions, color, Number and characteristics of recognizable persons, noise behavior, or electronic recognition mechanisms (e.g. responders) to identify the Vehicles or similar The description / identification of the vehicles is done for the purpose Acceleration and simplification of IT processes, preferably using the parameter sets assigned to optical criteria.
Zur komfortablen Gestaltung der Auswerteprozedur ist in einer Ausführungsart eine direkte Zuordnung und Erweiterung des lokalen Bewegungsprofils der Fahrzeuge zu bereits abgespeicherten Datensätzen anderer Messstationen vorgesehen, wobei ein stationsunabhängiger übergeordneter Auswerteprozess eine permanente statistische Auswertung des komplexen Verkehrsablaufes mit allen gewünschten Parametern ermöglicht und zumindest die analysierten Werte zur späteren weiteren Betrachtung und Verwendung in resistenten Speichereinrichtungen abspeichert werden.For a comfortable design of the evaluation procedure is in one embodiment a direct assignment and expansion of the local movement profile of the Vehicles for data sets from other measuring stations that have already been saved provided, a station-independent higher-level evaluation process a permanent statistical evaluation of the complex traffic flow enables all desired parameters and at least the analyzed values for later viewing and use in resistant Storage devices are saved.
Eine andere Ausführungsart der Erfindung sieht vor, dass statistische Verkehrsflussdaten derart in einem Langzeitspeicher gesichert werden, dass sie zur späteren rechnergestützten Simulation alternativer Verkehrsflusslenkungsmodelle bzw. geänderter Verkehrswegeführung zwecks Optimierung des Verkehrsflusses im Verkehrsabschnitt/Betrachtungsgebiet verwendbar sind.Another embodiment of the invention provides that statistical Traffic flow data are saved in long-term storage in such a way that they alternative for later computer-aided simulation Traffic flow control models or modified traffic routing for the purpose Optimization of the traffic flow in the traffic section / observation area are usable.
In einer anderen technischen Realisierung ist vorgesehen, dass der Prozess der Fahrzeugidentifikation durch ein Verfahren der permanenten lückenlosen Fahrzeugverfolgung - mittels einer auf Mustererkennungsverfahren beruhenden Softwareprozedur - im gesamten Verkehrsabschnitt/Beobachtungsgebiet erfolgt, wobei in diesem Fall das gesamte Beobachtungsgebiet lückenlos mit entsprechenden Sensoren, z.B. optischen Sensoren, erfasst werden muss und die erfassten Daten zwecks Auswertung und Analyse zu einem gemeinsamen lückenlosen Datensatz, z.B. einem Gesamterfassungsbild, zur anschließenden Auswertung zusammengetragen werden.Another technical implementation provides that the process of Vehicle identification through a process of permanent complete Vehicle tracking - using a pattern recognition method Software procedure - takes place in the entire traffic section / observation area, in this case, the entire observation area with corresponding sensors, e.g. optical sensors, must be detected and the collected data for evaluation and analysis to a common complete data set, e.g. an overall image, for subsequent Evaluation can be compiled.
Nachfolgend wird die Erfindung unter Verwendung weiterer Zeichnungsfiguren, die hier lediglich eine mögliche Ausführungsart in schematischer Darstellung beschreiben, erläutert, wobei sich anhand der Zeichnungsfiguren weitere Anwendungsgebiete und Vorteile der Erfindung ergeben. Es zeigen:
- Figur 1:
- beispielhaft einen betrachteten Verkehrsabschnitt mit mehreren Ein- und Ausfahrten;
- Figur 2:
- den Verkehrsabschnitt gemäss Figur 1 mit zusätzlicher Beipassverbindung;
- Figur 3:
- den Verkehrsabschnitt gemäss Figur 1 mit möglicher Anordnung von Erfassungseinrichtungen;
- Figur 4:
- Beispiel einer dezentralen Datenerfassung, und die Zusammenschaltung von optischen Erfassungseinrichtungen, Datenerfassungsrechnern (ER) und zentralem Auswerte- bzw. Analyserechner (AR).
- Figure 1:
- an example of a considered traffic section with several entrances and exits;
- Figure 2:
- the traffic section according to Figure 1 with additional bypass connection;
- Figure 3:
- the traffic section according to Figure 1 with a possible arrangement of detection devices;
- Figure 4:
- Example of a decentralized data acquisition, and the interconnection of optical acquisition devices, data acquisition computers (ER) and central evaluation or analysis computer (AR).
Die Figuren 1 und 2 wurden bereits im einleitenden Teil beschrieben, wobei im weiteren beispielhaft von einem Verkehrsabschnitt gemäß Figur 1 ausgegangen wird. Figures 1 and 2 have already been described in the introductory part, in which further assumed, for example, a traffic section according to FIG. 1 becomes.
Fig. 3 zeigt die bevorzugten Analysepositionen beim betrachteten
Verkehrsabschnitt, d.h. die bevorzugte Anordnung der Erfassungssensoren hier
durchlaufend mit den Ziffern 1 - 12 gekennzeichnet. Die Erfassungssensoren sind
vornehmlich an den Ein- und Ausfahrten des Verkehrsabschnitts sowie an der
Hauptstrecke zwischen den Ein- und Ausfahrten angeordnet.
An jeder einzelnen Position 1-12 erfolgt zunächst eine Analyse der
vorbeifahrenden Fahrzeuge, wobei die Erfasssungssystem aller Zufahrtsstellen 1,
7, 9 und 11 die Aufgabe der Identifikation sowie zusätzlich der Identifikation und
temporären Speicherung der Fahrzeuge in einer Datenbasis samt zusätzlich
erforderlicher Parameter, wie beispielsweise Uhrzeit, Geschwindigkeit, Spur, Ort,
relative Position zu anderen Fahrzeugen etc. haben.
An allen restlichen Erfassungsstellen 2 - 6, 8, 10 und 12 erfolgt nach der
jeweiligen Erkennung gemäß festgelegtem Verfahren und Zuordnung der
entsprechenden Identifikationsparameter eine Suche des entsprechenden
Objektes im angelegten Datensatz des zentralen Speichers sowie der zusätzliche
Eintrag aller neuen bewegungsrelevanten Daten für jedes Objekt.FIG. 3 shows the preferred analysis positions for the traffic section under consideration, ie the preferred arrangement of the detection sensors is here identified with the numbers 1-12. The detection sensors are primarily arranged at the entrances and exits of the traffic section and on the main route between the entrances and exits.
At each individual position 1-12 there is first an analysis of the vehicles passing by, with the recording system of all
At all remaining detection points 2 - 6, 8, 10 and 12, after the respective detection in accordance with the defined method and assignment of the corresponding identification parameters, a search for the corresponding object in the created data record in the central memory and the additional entry of all new movement-relevant data for each object are carried out.
Auf diese Weise kann im laufenden Betrieb permanent (online) eine statistische Auswertung der Verkehrssituation erfolgen, wobei zur weiterführenden Analyse ein entsprechendes Verkehrsprofil über der Zeitachse als Parameter als Auswertungskriterium für beispielsweise eine tageszeitgesteuerte Verkehrsflusslenkung erfolgen kann.In this way, a statistical one can be run continuously (online) Evaluation of the traffic situation take place, whereby for further analysis a corresponding traffic profile over the timeline as a parameter as Evaluation criterion for a time of day, for example Traffic flow control can take place.
Die Anordnung der vorzugsweise optischen Sensoren 1-12 kann beispielsweise auf temporär oder fest installierten Montagebrücken oder -masten in entsprechender Höhe quer über die Fahrbahn, oder beispielsweise bei entsprechender Geschwindigkeitsbegrenzung zwischen den Fahrstreifen - hierbei allerdings mit entsprechender Verkehrsbeeinträchtigung - erfolgen. Wenn jeweils nur ein oder zwei Fahrspuren vorhanden sind, ist auch eine Anordnung der Sensoren am Straßenrand möglich. The arrangement of the preferably optical sensors 1-12 can for example on temporarily or permanently installed assembly bridges or masts in appropriate height across the road, or for example at appropriate speed limit between the lanes - here however, with a corresponding traffic impairment. If each only one or two lanes are available, is also an arrangement of Sensors on the roadside possible.
Zusätzliche Kriterien, wie beispielsweise die Position zwischen anderen abgespeicherten Fahrzeugen können zur Erkennung herangezogen werden.Additional criteria, such as the position between others Stored vehicles can be used for recognition.
Fig.4 zeigt ein Beispiel für eine dezentrale Datenerfassung mittels optischer Sensoren, z.B. Kameras, wobei im dargestellten Beispiel ein Datenerfassungsrechner (ER) alle ggf. erforderlichen Spursensoren (a, b, c) einer jeweiligen Beobachtungsposition erfasst und die Daten derart vorverarbeitet, dass jedes erfasste Fahrzeug individuell mit einem festgelegten und für alle Datenerfassungsrechner identischen Parametersatz beschrieben wird, der hiernach samt der erforderlichen orts- und zeitspezifischen Verkehrsflussparameter zum zentralen Auswerte- bzw. Analyserechner (AR) übertragen wird. Die Speicherung und Zuordnung, sowie die statistische Auswertung aller Daten erfolgt sodann im zentralen Auswerte- bzw. Analyserechner.4 shows an example of decentralized data acquisition by means of optical Sensors, e.g. Cameras, one in the example shown Data acquisition computer (ER) all possibly required track sensors (a, b, c) one respective observation position and preprocessed the data in such a way that each registered vehicle individually with a fixed one and for everyone Data acquisition computer is described identical parameter set that then including the required location and time-specific Traffic flow parameters to the central evaluation or analysis computer (AR) is transmitted. The storage and assignment, as well as the statistical All data is then evaluated in the central evaluation or Analysis computer.
Alternativ zum beschriebenen Fahrzeugidentifikationsverfahren ist ein Verfahren mit objektbezogener Verfolgung aller Fahrzeuge für den Fall möglich, dass der gesamte Beobachtungsbereich in geschlossener Form überwacht wird, so dass für ein beispielsweise auf optischer Erfassung beruhendes Analysesystem keine Lücken bei der Fahrzeugverfolgung vorhanden sind.An alternative to the vehicle identification method described is a method with object-related tracking of all vehicles in the event that the entire observation area is monitored in a closed form so that for an analysis system based, for example, on optical detection There are gaps in vehicle tracking.
Claims (7)
dadurch gekennzeichnet,
dass ein zu betrachtender Verkehrsabschnitt oder Beobachtungsgebiet zumindest an allen relevanten Ein- und Ausfahrtspunkten, mit geeigneten Erfassungseinrichtungen ausgestattet wird, mit deren Hilfe Fahrzeuge als solche reproduzierbar individuell erkannt und mittels geeignetem Identifikationscode samt zugehörigen Bewegungsprofil als Datensatz in einem Analyserechner abgespeichert bzw. bei bereits angelegten Datensätzen vom Analyserechner wiedererkannt werden, wobei die Datensätze um das aktuelle Bewegungsprofil der betreffenden Fahrzeuge erweitert werden, wodurch eine komplexe Verkehrsflussanalyse im betreffenden Verkehrsabschnitt oder Beobachtungsgebiet ermöglicht wird.Processes for the analysis of traffic flows for optimized traffic flow control and for the needs-based planning of road traffic networks,
characterized,
that a traffic segment or observation area to be viewed is equipped with suitable detection devices at least at all relevant entry and exit points, with the aid of which vehicles can be reproduced as such in a reproducible manner and stored as a data record in an analytical computer together with the associated motion profile or in the case of data records that have already been created can be recognized by the analysis computer, the data records being expanded to include the current movement profile of the vehicles in question, which enables a complex traffic flow analysis in the relevant traffic segment or observation area.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE19902365 | 1999-01-21 | ||
| DE19902365A DE19902365A1 (en) | 1999-01-21 | 1999-01-21 | Process for the analysis of traffic flows for optimized traffic flow control and for the needs-based planning of road traffic networks |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| EP1022703A2 true EP1022703A2 (en) | 2000-07-26 |
| EP1022703A3 EP1022703A3 (en) | 2002-10-02 |
| EP1022703B1 EP1022703B1 (en) | 2006-08-23 |
Family
ID=7894995
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP00100862A Expired - Lifetime EP1022703B1 (en) | 1999-01-21 | 2000-01-18 | Method of organizing traffic flows to control optimally the traffic and to plan road networks according to the needs |
Country Status (3)
| Country | Link |
|---|---|
| EP (1) | EP1022703B1 (en) |
| AT (1) | ATE337594T1 (en) |
| DE (2) | DE19902365A1 (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102006046063A1 (en) * | 2006-09-27 | 2008-04-03 | Deutsches Zentrum für Luft- und Raumfahrt e.V. | Vehicle e.g. truck, movement detecting method for e.g. toll detection system, involves synchronizing terrestrial data with remote sensing data so that clear assignment of vehicle data to location-obtained identification data is obtained |
| FR2922347A1 (en) * | 2007-10-11 | 2009-04-17 | Bouchaib Hoummady | Vehicle e.g. car, mobility and traffic guiding managing method, involves simulating temporal spatial load of traffic in mobility space, evaluating pertinent situations in traffic, and transferring data corresponding to circulation situation |
| WO2010119182A1 (en) * | 2009-04-14 | 2010-10-21 | Bouchaib Hoummady | Method and device for dynamically managing guiding and mobility in traffic |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE202008003979U1 (en) | 2008-03-20 | 2008-06-26 | Fraas, Alfred, Dipl.-Ing. | Measuring system for traffic flow analysis |
| DE102014019106B4 (en) * | 2014-12-19 | 2023-06-29 | Audi Ag | Method for operating a vehicle system for selecting a lane and motor vehicle |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5801943A (en) * | 1993-07-23 | 1998-09-01 | Condition Monitoring Systems | Traffic surveillance and simulation apparatus |
-
1999
- 1999-01-21 DE DE19902365A patent/DE19902365A1/en not_active Withdrawn
-
2000
- 2000-01-18 AT AT00100862T patent/ATE337594T1/en active
- 2000-01-18 EP EP00100862A patent/EP1022703B1/en not_active Expired - Lifetime
- 2000-01-18 DE DE50013340T patent/DE50013340D1/en not_active Expired - Lifetime
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5801943A (en) * | 1993-07-23 | 1998-09-01 | Condition Monitoring Systems | Traffic surveillance and simulation apparatus |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102006046063A1 (en) * | 2006-09-27 | 2008-04-03 | Deutsches Zentrum für Luft- und Raumfahrt e.V. | Vehicle e.g. truck, movement detecting method for e.g. toll detection system, involves synchronizing terrestrial data with remote sensing data so that clear assignment of vehicle data to location-obtained identification data is obtained |
| DE102006046063B4 (en) * | 2006-09-27 | 2010-07-22 | Deutsches Zentrum für Luft- und Raumfahrt e.V. | Method and system for detecting vehicle movements |
| FR2922347A1 (en) * | 2007-10-11 | 2009-04-17 | Bouchaib Hoummady | Vehicle e.g. car, mobility and traffic guiding managing method, involves simulating temporal spatial load of traffic in mobility space, evaluating pertinent situations in traffic, and transferring data corresponding to circulation situation |
| WO2010119182A1 (en) * | 2009-04-14 | 2010-10-21 | Bouchaib Hoummady | Method and device for dynamically managing guiding and mobility in traffic |
Also Published As
| Publication number | Publication date |
|---|---|
| DE50013340D1 (en) | 2006-10-05 |
| ATE337594T1 (en) | 2006-09-15 |
| DE19902365A1 (en) | 2000-07-27 |
| EP1022703B1 (en) | 2006-08-23 |
| EP1022703A3 (en) | 2002-10-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP0789341B1 (en) | Vehicle on board detection of traffic jam | |
| EP0730728B1 (en) | Device in a vehicle to determine entry into a partial section of a predetermined road system | |
| DE102015212027A1 (en) | Method and device for automatic determination of traffic regulations at road intersections | |
| DE102008003039A1 (en) | Vehicle traffic condition recognizing method for traffic assistance system, involves differentiating traffic jam conditions on basis of measured speed, and recognizing traffic jam condition if another traffic jam condition is not recognized | |
| DE10148289A1 (en) | Detector for classifying moving vehicles has camera mounted on motorway bridge with computer to determine vehicle speed and path | |
| DE102020108531A1 (en) | Procedure for identifying potential danger spots | |
| EP3621052A1 (en) | Method for analysing the driving behaviour of motor vehicles, including autonomous vehicles | |
| EP0978811A2 (en) | Method and device to obtain travel times of vehicles | |
| DE102016200855B3 (en) | Method and device for providing recorded, anonymized routes | |
| DE102007062741B4 (en) | Method and test device for testing a traffic control system | |
| EP1022703B1 (en) | Method of organizing traffic flows to control optimally the traffic and to plan road networks according to the needs | |
| EP1696208B1 (en) | Method for identifying the position of vehicles and system for identifying vehicles in a geographical area | |
| DE102007028325A1 (en) | Positioning device for drive-bound vehicle i.e. railway traction vehicle, has evaluation unit equipped for determining position of drive-bound vehicle depending on image information containing draw chainage elements | |
| EP1245017A1 (en) | Method of describing and generating road networks and corresponding road network | |
| EP2254104B1 (en) | Method for automatic recognition of a change in a situation | |
| DE102009037461A1 (en) | Assistance system for enhancing traffic safety of vehicles on road section, particularly for enhancing traffic safety in traffic tunnel, has scenario unit for capturing individual movement patterns of vehicles | |
| EP3688659A1 (en) | Method for automatically identifying parking areas and/or non-parking areas | |
| DE102006044298B3 (en) | Crowd monitoring method in monitored area, involves detecting accident by reference sample, with which speed of individual person is smaller within person flow, and move these to center or forms circle without other person around these | |
| DE4434131C2 (en) | Arrangement and method for detecting and locating vehicles | |
| DE102016009199B4 (en) | Method for operating a data acquisition unit for recording at least one control event of a control device of a motor vehicle as well as a data acquisition unit and a data processing unit | |
| EP3772017A1 (en) | Rail signal detection for autonomous railway vehicles | |
| DE102020107268A1 (en) | Crowd organization procedures | |
| DE10052109B4 (en) | Method for describing and generating road networks and road network | |
| LU102919B1 (en) | Methods and systems for the early detection and evaluation of structural danger spots in road traffic | |
| EP3518204A1 (en) | Method of monitoring traffic and traffic monitoring system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PUAI | Public reference made under article 153(3) epc to a published international application that has entered the european phase |
Free format text: ORIGINAL CODE: 0009012 |
|
| AK | Designated contracting states |
Kind code of ref document: A2 Designated state(s): AT BE CH CY DE DK ES FI FR GB GR IE IT LI LU MC NL PT SE |
|
| AX | Request for extension of the european patent |
Free format text: AL;LT;LV;MK;RO;SI |
|
| RAP1 | Party data changed (applicant data changed or rights of an application transferred) |
Owner name: T-MOBILE DEUTSCHLAND GMBH |
|
| PUAL | Search report despatched |
Free format text: ORIGINAL CODE: 0009013 |
|
| AK | Designated contracting states |
Kind code of ref document: A3 Designated state(s): AT BE CH CY DE DK ES FI FR GB GR IE IT LI LU MC NL PT SE |
|
| AX | Request for extension of the european patent |
Free format text: AL;LT;LV;MK;RO;SI |
|
| 17P | Request for examination filed |
Effective date: 20030203 |
|
| 17Q | First examination report despatched |
Effective date: 20030513 |
|
| AKX | Designation fees paid |
Designated state(s): AT BE CH CY DE DK ES FI FR GB GR IE IT LI LU MC NL PT SE |
|
| GRAP | Despatch of communication of intention to grant a patent |
Free format text: ORIGINAL CODE: EPIDOSNIGR1 |
|
| GRAS | Grant fee paid |
Free format text: ORIGINAL CODE: EPIDOSNIGR3 |
|
| GRAA | (expected) grant |
Free format text: ORIGINAL CODE: 0009210 |
|
| AK | Designated contracting states |
Kind code of ref document: B1 Designated state(s): AT BE CH CY DE DK ES FI FR GB GR IE IT LI LU MC NL PT SE |
|
| PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: IT Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT;WARNING: LAPSES OF ITALIAN PATENTS WITH EFFECTIVE DATE BEFORE 2007 MAY HAVE OCCURRED AT ANY TIME BEFORE 2007. THE CORRECT EFFECTIVE DATE MAY BE DIFFERENT FROM THE ONE RECORDED. Effective date: 20060823 Ref country code: IE Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20060823 Ref country code: FI Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20060823 |
|
| REG | Reference to a national code |
Ref country code: GB Ref legal event code: FG4D Free format text: NOT ENGLISH |
|
| REG | Reference to a national code |
Ref country code: CH Ref legal event code: EP |
|
| REG | Reference to a national code |
Ref country code: IE Ref legal event code: FG4D Free format text: LANGUAGE OF EP DOCUMENT: GERMAN |
|
| REF | Corresponds to: |
Ref document number: 50013340 Country of ref document: DE Date of ref document: 20061005 Kind code of ref document: P |
|
| PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: DK Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20061123 Ref country code: SE Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20061123 |
|
| REG | Reference to a national code |
Ref country code: CH Ref legal event code: NV Representative=s name: LUCHS & PARTNER PATENTANWAELTE |
|
| PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: ES Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20061204 |
|
| GBT | Gb: translation of ep patent filed (gb section 77(6)(a)/1977) |
Effective date: 20061121 |
|
| PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: PT Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20070124 |
|
| PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: MC Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES Effective date: 20070131 |
|
| REG | Reference to a national code |
Ref country code: IE Ref legal event code: FD4D |
|
| ET | Fr: translation filed | ||
| PLBE | No opposition filed within time limit |
Free format text: ORIGINAL CODE: 0009261 |
|
| STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: NO OPPOSITION FILED WITHIN TIME LIMIT |
|
| 26N | No opposition filed |
Effective date: 20070524 |
|
| PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: GR Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20061124 |
|
| PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: CY Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20060823 Ref country code: LU Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES Effective date: 20070118 |
|
| PGFP | Annual fee paid to national office [announced via postgrant information from national office to epo] |
Ref country code: IT Payment date: 20120125 Year of fee payment: 13 |
|
| PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: IT Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES Effective date: 20130118 |
|
| REG | Reference to a national code |
Ref country code: FR Ref legal event code: PLFP Year of fee payment: 17 |
|
| PGFP | Annual fee paid to national office [announced via postgrant information from national office to epo] |
Ref country code: CH Payment date: 20160121 Year of fee payment: 17 |
|
| PGFP | Annual fee paid to national office [announced via postgrant information from national office to epo] |
Ref country code: BE Payment date: 20160121 Year of fee payment: 17 Ref country code: AT Payment date: 20160120 Year of fee payment: 17 |
|
| REG | Reference to a national code |
Ref country code: FR Ref legal event code: PLFP Year of fee payment: 18 |
|
| PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: BE Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES Effective date: 20170131 |
|
| REG | Reference to a national code |
Ref country code: CH Ref legal event code: PL |
|
| REG | Reference to a national code |
Ref country code: AT Ref legal event code: MM01 Ref document number: 337594 Country of ref document: AT Kind code of ref document: T Effective date: 20170118 |
|
| PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: AT Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES Effective date: 20170118 Ref country code: LI Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES Effective date: 20170131 Ref country code: CH Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES Effective date: 20170131 |
|
| REG | Reference to a national code |
Ref country code: FR Ref legal event code: PLFP Year of fee payment: 19 |
|
| REG | Reference to a national code |
Ref country code: BE Ref legal event code: MM Effective date: 20170131 |
|
| PGFP | Annual fee paid to national office [announced via postgrant information from national office to epo] |
Ref country code: DE Payment date: 20190124 Year of fee payment: 20 Ref country code: NL Payment date: 20190122 Year of fee payment: 20 Ref country code: GB Payment date: 20190124 Year of fee payment: 20 Ref country code: FR Payment date: 20190122 Year of fee payment: 20 |
|
| REG | Reference to a national code |
Ref country code: DE Ref legal event code: R071 Ref document number: 50013340 Country of ref document: DE |
|
| REG | Reference to a national code |
Ref country code: NL Ref legal event code: MK Effective date: 20200117 |
|
| REG | Reference to a national code |
Ref country code: GB Ref legal event code: PE20 Expiry date: 20200117 |
|
| PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: GB Free format text: LAPSE BECAUSE OF EXPIRATION OF PROTECTION Effective date: 20200117 |