EP1022703A2 - Procédé d'aménagement des flux de circulation pour un contôle optimisé du trafic, de même la planification des réseaux routiers en fonction des besoins - Google Patents

Procédé d'aménagement des flux de circulation pour un contôle optimisé du trafic, de même la planification des réseaux routiers en fonction des besoins Download PDF

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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
Application number
EP00100862A
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German (de)
English (en)
Other versions
EP1022703A3 (fr
EP1022703B1 (fr
Inventor
Walter Keller
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.)
Telekom Deutschland GmbH
Original Assignee
T Mobile Deutschland GmbH
DeTeMobil Deutsche Telekom Mobilnet GmbH
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 T Mobile Deutschland GmbH, DeTeMobil Deutsche Telekom Mobilnet GmbH filed Critical T Mobile Deutschland GmbH
Publication of EP1022703A2 publication Critical patent/EP1022703A2/fr
Publication of EP1022703A3 publication Critical patent/EP1022703A3/fr
Application granted granted Critical
Publication of EP1022703B1 publication Critical patent/EP1022703B1/fr
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

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    • 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.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Traffic Control Systems (AREA)
EP00100862A 1999-01-21 2000-01-18 Procédé d'aménagement des flux de circulation pour un contôle optimisé du trafic, de même la planification des réseaux routiers en fonction des besoins Expired - Lifetime EP1022703B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE19902365 1999-01-21
DE19902365A DE19902365A1 (de) 1999-01-21 1999-01-21 Verfahren zur Analyse von Verkehrsflüssen zur optimierten Verkehrsflußsteuerung sowie zur bedarfsgerechten Planung von Straßenverkehrsnetzen

Publications (3)

Publication Number Publication Date
EP1022703A2 true EP1022703A2 (fr) 2000-07-26
EP1022703A3 EP1022703A3 (fr) 2002-10-02
EP1022703B1 EP1022703B1 (fr) 2006-08-23

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Application Number Title Priority Date Filing Date
EP00100862A Expired - Lifetime EP1022703B1 (fr) 1999-01-21 2000-01-18 Procédé d'aménagement des flux de circulation pour un contôle optimisé du trafic, de même la planification des réseaux routiers en fonction des besoins

Country Status (3)

Country Link
EP (1) EP1022703B1 (fr)
AT (1) ATE337594T1 (fr)
DE (2) DE19902365A1 (fr)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102006046063A1 (de) * 2006-09-27 2008-04-03 Deutsches Zentrum für Luft- und Raumfahrt e.V. Verfahren und System zur Erfassung von Vehikelbewegungen
FR2922347A1 (fr) * 2007-10-11 2009-04-17 Bouchaib Hoummady Procede et dispositif de gestion dynamique de guidage et de la mobilite dans le trafic par la prise en compte de l'occupation au sol par les vehicules de l'espace de circulation
WO2010119182A1 (fr) * 2009-04-14 2010-10-21 Bouchaib Hoummady Procédé et dispositif dynamique de guidage et de la mobilité dans le trafic
CN118158249A (zh) * 2024-03-11 2024-06-07 湖北华中电力科技开发有限责任公司 物联网数据处理方法、相关装置、计算设备及存储介质

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE202008003979U1 (de) 2008-03-20 2008-06-26 Fraas, Alfred, Dipl.-Ing. Messsystem für die Verkehrsstromanalyse
DE102014019106B4 (de) * 2014-12-19 2023-06-29 Audi Ag Verfahren zum Betrieb eines Fahrzeugsystems zur Auswahl einer Fahrspur und Kraftfahrzeug

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5801943A (en) * 1993-07-23 1998-09-01 Condition Monitoring Systems Traffic surveillance and simulation apparatus

Patent Citations (1)

* Cited by examiner, † Cited by third party
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 (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102006046063A1 (de) * 2006-09-27 2008-04-03 Deutsches Zentrum für Luft- und Raumfahrt e.V. Verfahren und System zur Erfassung von Vehikelbewegungen
DE102006046063B4 (de) * 2006-09-27 2010-07-22 Deutsches Zentrum für Luft- und Raumfahrt e.V. Verfahren und System zur Erfassung von Vehikelbewegungen
FR2922347A1 (fr) * 2007-10-11 2009-04-17 Bouchaib Hoummady Procede et dispositif de gestion dynamique de guidage et de la mobilite dans le trafic par la prise en compte de l'occupation au sol par les vehicules de l'espace de circulation
WO2010119182A1 (fr) * 2009-04-14 2010-10-21 Bouchaib Hoummady Procédé et dispositif dynamique de guidage et de la mobilité dans le trafic
CN118158249A (zh) * 2024-03-11 2024-06-07 湖北华中电力科技开发有限责任公司 物联网数据处理方法、相关装置、计算设备及存储介质

Also Published As

Publication number Publication date
DE19902365A1 (de) 2000-07-27
ATE337594T1 (de) 2006-09-15
EP1022703A3 (fr) 2002-10-02
EP1022703B1 (fr) 2006-08-23
DE50013340D1 (de) 2006-10-05

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