EP1034523A1 - Procede et dispositif pour la gestion de la circulation routiere utilisant la camera video comme source d'information - Google Patents
Procede et dispositif pour la gestion de la circulation routiere utilisant la camera video comme source d'informationInfo
- Publication number
- EP1034523A1 EP1034523A1 EP98925766A EP98925766A EP1034523A1 EP 1034523 A1 EP1034523 A1 EP 1034523A1 EP 98925766 A EP98925766 A EP 98925766A EP 98925766 A EP98925766 A EP 98925766A EP 1034523 A1 EP1034523 A1 EP 1034523A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- decision
- traffic
- regulation
- detection
- video
- 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.)
- Ceased
Links
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
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
Definitions
- the present invention relates to a method and a device for managing road traffic using the video camera as a source of information. Measuring, regulating and monitoring are the main tasks of traffic management.
- Said magnetic loops are formed of turns of copper wire insulated from various sections creating a transducer sensitive to the presence of the metallic mass of a vehicle in its magnetic field.
- the sensitivity of the device is defined by the relative variation of the inductance when the vehicle passes over the loop and allows its detection.
- Said magnetic loops require a wake from the roadway for their final installations and their maintenance. This kind of operation, tedious and expensive does not allow the evolution and does not give right to error.
- the footprint area is relatively small. Installation requires stopping traffic. All the measurements deduced from the identification of the passage of the vehicle are punctual. Vehicle occupancy cannot be assessed.
- pneumatic hoses which are in the form of a rubber tube. They are fixed on the road perpendicular to the axis of traffic. The passage of the wheels of a vehicle causes a punctual crushing creating, inside, a pressure variation which is propagated to the ends to activate an electrical contact informing identification. Vehicles are counted by the number of wheelsets. Said pneumatic hoses do not make it possible to identify several lanes of traffic; this being the same for heavy goods vehicles, two wheels and pedestrians. The footprint area is relatively small. All the measurements deduced from the identification of the passage of the vehicle are punctual. Vehicle occupancy cannot be assessed.
- piezoelectric sensors which are coaxial shielded cables made up of a copper core and sheath, insulated from one another by a piezoelectric ceramic. These sensors must be conditioned, before their insertion in the roadway, in a resin bar whose length represents the width of the roadway.
- the weight of a vehicle creates a pressure variation allowing identification.
- the installation requires the intervention of a specialized company and a cut in traffic for several hours.
- Said piezoelectric sensors are sensitive to the mechanical stresses that the pressure of vehicle wheels creates in the wearing course.
- the location must meet very strict constraints (the roadway must always be healthy, clean and even).
- the footprint area is relatively small. All the measurements deduced from the identification of the passage of the vehicle are punctual. Vehicle occupancy cannot be assessed.
- the absence of a vehicle on the piezoelectric sensor, in the event of a queue does not allow the said queue to be identified.
- the measure is blind.
- the piezoelectric sensors do not allow their self-diagnosis.
- Measuring devices known as video sensors which identify the passage of a vehicle by analyzing the variation in lighting on predefined lines.
- the area of influence over the self is relatively small. All the measurements deduced from the identification of the passage of the vehicle are punctual. Vehicle occupancy is not assessed.
- Regulating road traffic using traffic light signaling consists of using a control device, called a crossroad controller, to control the changes in signal status and the duration of the states at the predictable or random demand of the all users.
- Some controllers distribute the green time in a cyclic and definitive manner. They only take demand into account.
- Some controllers distribute the green according to a light plan chosen according to the day and time.
- the fire plans are stored in a library of precalculated plans according to the traffic measured from the magnetic loop type sensors or from directional counting surveys carried out by investigators manually.
- Some controllers are able to assess them based on the consequences they generate a few minutes later by installing magnetic loops at the entrances and exits of each intersection to be regulated.
- the measurements used come from sensors with a relatively small footprint.
- the absence of spatial information leaves all these regulatory systems blind, which does not allow taking into account local and temporal particularities influencing congestion and the spatial capacity of the crossroads, section and road network.
- the collection of data based on speed does not make it possible to detect anomalies in regulation and traffic flow.
- Some cities install cameras in so-called critical road traffic junctions for manual monitoring of road traffic in addition to information from the magnetic loops installed on the roads. Saturation indicators are displayed on a luminous dashboard attracting the attention of the traffic technician who interrupts his current tasks to select the camera corresponding to the crossroads and order the viewing of images to diagnose the type traffic situation and manually control the controller of the intersection in question.
- Video surveillance devices comprising a series of cameras connected to a display panel which comprises a series of display screens allowing an operator to monitor a certain number of sites falling within the scope of the cameras.
- a display panel which comprises a series of display screens allowing an operator to monitor a certain number of sites falling within the scope of the cameras.
- Such a device allows a single operator to monitor a large number of sites, the number of sites monitored being able to be greater than the number of display screens.
- the operator's role is to monitor the various traffic anomalies in order to be able to act on the control of the traffic light controllers.
- the cameras allow the operator to understand the phenomena of traffic.
- the video arrives at the central road station on specialized cables (optical fiber or coaxial cable).
- VCRs continuously record traffic to allow the cassette to be viewed for identification in the event of a problem.
- This kind of monitoring is very tedious and expensive, in particular when the events subject to monitoring occur with a low frequency and the attention of the operator is thus little requested.
- This type of anomaly monitoring is not automated as regards identification and decision-making on regulation.
- a visualization of this type does not make it possible to control a posteriori the course of events in the event of a traffic anomaly.
- the aim of the device and method of the invention is to improve traffic management by including the camera as a source of information and by automating the extraction of useful information by techniques for processing and analyzing video images. of traffic and traffic. Improvement in traffic management begins with: ⁇ / Automatically measuring road traffic movements> Automatically diagnosing the operation of regulation and these deficiencies * / Ensuring traffic lights by automatically taking into account space and time information ( vehicle occupancy over time) the movement of road traffic from the devices of the invention. Automatically monitor events and their origins that may be of interest to the traffic operator.
- the purpose of the present invention is to remedy the drawbacks mentioned at the start of the current devices and to offer multiple advantages such as: i / measurement and diagnosis
- the identification of the passage of a vehicle gives specific information to have compatibility with current measurements and space-time information related to the surface on the ground occupied by the vehicle.
- the new space-time measurements make it possible to obtain new quantities of road traffic to assess, for example, the queues, congestion and traffic jams.
- the measurement and diagnostic areas are not frozen. - The absence of civil engineering to define the measurement and diagnostic zones.
- the illustrated device is intended to ensure the management of road traffic in a crossroads 3 using the only source of information: the camera 1 of which only one has been shown so as not to overload the figure.
- Traffic in the intersection 3 is managed by the traffic lights 4.
- Part of the device is installed in the traffic light cabinet 6 which includes: - a mains supply 7
- the second part of the device is at the central station of the road network 35, it consists of:
- the video signal from camera 1 is improved 16 so as to be able to take account of changes in light and various external conditions.
- the video signal leaving the device 16 is digitized 17 so that it is processed by the logical image processing unit 20.
- This processing will highlight all of the moving areas in the analyzed scene (vehicles, pedestrians, 2 wheels, ).
- the unit 20 will represent the movement by surfaces encompassing the identified objects.
- a second representation called "the recent past” is made in the second stage of the process of processing and extracting useful information.
- This presentation corresponds to the different surfaces occupied successively over time by moving objects (vehicles, pedestrians, 2 wheels, ).
- This presentation highlights the direction of movement, instantaneous speed, instantaneous acceleration and the various space-time occupations in the surfaces currently occupied and including the identified objects.
- the result of this last representation is compressed 24 in order to reduce its size to be memorized in the storage unit 18.
- the steps corresponding to a cycle are: - the acquisition of the video signal by the camera
- the duration of the cycle varies according to the objectives to be reached (100ms to 300ms).
- the storage unit 18 is dimensioned to keep in memory the compressed results of analysis of the movement desired by the operator. Each item of information is listed and dated. The characteristics, conditions and parameters of analysis are likewise stored at the road station 35.
- the operator chooses using his keyboard 48 the crossroad 3 on which he wishes to make measurements and the diagnosis of traffic.
- the central unit 36 allows it to identify this crossroads and commands, through the servo-measurement link 46 the unit 20, to transfer the requested data which is stored on the unit 40.
- the measurement and diagnostic unit 42 goes allow the operator to decompress 43 space-time representations corresponding to the various movements and to carry out the traffic measurements at the places which it will have defined. Two families of measurements are proposed: measurements based on counting at a given point:
- the unit 43 allows the operator to analyze the functioning of the crossroads to identify the presence or not of a malfunction in the regulation, traffic or road safety in the crossroads analyzed /
- the traffic measurements are carried out as follows: - determination of the analysis zones
- the method of the invention offers the advantage to the operator of being able to remeasure a given quantity without being obliged to re-film the scene and to reprocess it. In this way, the measurement is reproducible and not blind.
- the measurement areas can be changed as desired.
- the traffic strategy or traffic strategy simulation device allows the operator to define:
- the device will simulate regulation, road traffic and changes in traffic lights in the locality using the measurements extracted previously. New measurements are made during this simulation. They make it possible to evaluate the strategy for its optimization. This simulation is visible on the monitor 50.
- the simulation of this invention offers the advantage of seeing how the crossroads risks to function, of analyzing and measuring the movements to validate the operator's strategy so that he can set up this strategy by a simple transfer by the link 45 of the new fire plans to the controller corresponding to E1.
- the new fire plans are stored in E1.
- Unit 11 executes the new strategy.
- the operator orders the transfer of the quantities and regulation measures as well as their thresholds intervening in the changes of the sequence of the fire diagram; it transfers the analysis zones and all the parameters useful for the operation of the unit 20 and of the group of equipment E2.
- Example of the operation of the innovation process for the "traffic control" task in traffic management The video signal from camera 1 is improved 16 so that light changes and various external conditions can be taken into account.
- the video signal leaving the device 16 is digitized 17 and processed by the logical image processing unit 20. This processing will highlight all of the moving areas in the analyzed scene (vehicles, pedestrians, 2 wheels,. ..).
- the unit 20 will represent the movement by space-time surfaces encompassing the identified objects. This presentation corresponds to the different surfaces occupied successively over time by moving objects (vehicles, pedestrians, 2 wheels, ).
- the operation of the servo requires defining: the decision zones, the decision quantities, the decision thresholds assigned to each quantity, the logic for the servo corresponding to the decision limits and thresholds reached. This information is buffered and saved so that it is not lost in the event of an electrical power failure. This memory is part of the decision-making body for the enslavement 21.
- the decision zones in a crossroads can be for example: entrances, exits, queues at entrances, queues at exits, turn-left, center of the crossroads, zones occasional parking, pedestrian crossings. These zones can be the same: cycle zones, pedestrian zones, entrances-exits of public or private establishments, public or private places.
- the quantities and decision-making measures can be: the flow rate, the saturation flow rate, the vehicle interval, the linear density, the point occupancy rate, the apparent speed, the concentration, the space occupancy rate, the space-time occupation, the space clearance rate, the space fluidity rate, the space saturation rate, the stopping time, the mean clearance time, the queue length, the mean waiting time, directional flow, crossing time.
- the decision thresholds assigned to the chosen measures are values corresponding to the extreme limits for taking into account in the decision logic.
- the decision logic is made up of comparison operators (AND, OR, MAXIMUN, MINIMUM ”), condition operators (IF, OTHERWISE, %) and action operators (CLOSE, OPEN, TURN ON, TURN OFF, SLOW DOWN, POSITION, STOP, RELEASE ).
- the strategy corresponding to the objective to be achieved by the operator in terms of traffic regulation and traffic such as: optimizing a crossroads with lights in a fixed cycle, adaptiveness according to the locations of conflicts, anti -blocking, anti-plugging, adaptivity as a function of the saturation rate, fluidity-safety, adaptivity as a function of directional movements, adaptiveness as a function of the time of pedestrian crossing, optimization of the time lost in front of traffic lights, adaptiveness as a function of work sites and work sites, pedestrian safety.
- the multi-strategy of innovation offers the advantage of having the same equipment, a single installation for current and future needs.
- the member 21 scans each zone to identify the space-time occupation for the movement of vehicles, pedestrians, two wheels, etc.
- the member 21 evaluates the measurements of the quantities chosen and corresponding to the programmed zones. It identifies the thresholds reached and informs via the sensor output 31 and the card 10 the central unit of the crossroads controller for its enslavement and the execution of the traffic light plans corresponding to the state of the programmed strategy.
- the spatio-temporal presentation corresponding to the different surfaces successively occupied over time by moving objects (vehicles, pedestrians, 2 wheels, etc.) is compressed24 in order to reduce its size to be stored in the storage unit 18.
- the traffic measurements can be made over the past few days. This number of days depends on the size of the memory of the unit 18.
- Example of the operation of the innovation process for the task "automatic event monitoring and traffic maintenance" in traffic management From the control keyboard 48 and from the equipment E4, the traffic operator identifies the crossroads to be monitored, specifies its critical zones, chooses the measurements and thresholds involved in the decision, identifies the associated sensors 19.1 and details the objects and the relevance to watch. This setting is transferred to the event monitoring unit 32 by the links 47 and 30.
- the object of the monitoring may be the detection of excessive parking, incident detection, detection crossing of continuous lines, stops and red lights, detection of pedestrian waiting, detection of vehicles traveling in the opposite direction, detection of queue formation, detection of saturation formation, detection of the origin of pollution, detection of the origin of noise or shock, detection of taggers, detection of the origin of saturation in the sense of a crossroads, detection of regulatory anomalies.
- a video-based monitoring device comprising at least one camera 1 connected to a device 28 for digitizing images associated with an event detector. 19.20 and a buffer memory 34 for storing digitized images.
- a storage unit 27 for the compressed images 31 of the identified events is connected to the buffer memory.
- the central event monitoring unit 32 manages all of these elements.
- the buffer memory makes it possible to temporarily store a series of images by continuously updating so that the series of images in the buffer memory corresponds at all times to the recent past of the event which occurred and detected by 19.20.
- the storage memory contains only series of images relating to abnormal events and the storage memory can therefore be viewed very quickly to locate images of major interest.
- the device makes it possible to implement the method which consists in storing, temporarily, in the buffer memory the digitized images.
- Each new stored image introduced into the buffer memory replaces the oldest image in this buffer memory so that the series of images in the buffer memory is continuously updated to correspond at all times to the last images taken.
- the duration of the buffer image sequence is a programmable parameter like the inter-image time interval.
- the memorization of the images which precede the event is particularly advantageous in the event of a malfunction of the regulation or in the case of the monitoring of incidents because it allows, not only to verify a posteriori the responsibility which was at origin, but to analyze the circumstances which provoke certain types of event and, if necessary, to modify the profile of the ways to modify the profile of the site's tracks to eliminate, or in any case, minimize anomalies.
- the process offers other advantages in terms of event monitoring:
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
- Closed-Circuit Television Systems (AREA)
Abstract
Description
Claims
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR9706117A FR2763726B1 (fr) | 1997-05-20 | 1997-05-20 | Procede de gestion de la circulation routiere par camera video |
FR9706117 | 1997-05-20 | ||
PCT/FR1998/001024 WO1998053437A1 (fr) | 1997-05-20 | 1998-05-20 | Procede et dispositif pour la gestion de la circulation routiere utilisant la camera video comme source d'information |
Publications (1)
Publication Number | Publication Date |
---|---|
EP1034523A1 true EP1034523A1 (fr) | 2000-09-13 |
Family
ID=9507023
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP98925766A Ceased EP1034523A1 (fr) | 1997-05-20 | 1998-05-20 | Procede et dispositif pour la gestion de la circulation routiere utilisant la camera video comme source d'information |
Country Status (4)
Country | Link |
---|---|
US (1) | US6366219B1 (fr) |
EP (1) | EP1034523A1 (fr) |
FR (1) | FR2763726B1 (fr) |
WO (1) | WO1998053437A1 (fr) |
Families Citing this family (49)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6580997B2 (en) * | 2001-09-27 | 2003-06-17 | International Business Machines Corporation | Hierarchical traffic control system which includes vehicle roles and permissions |
DE102004002808B4 (de) * | 2003-03-07 | 2015-08-20 | Deutsche Telekom Ag | Verkehrssteuerungssystem |
US7688222B2 (en) * | 2003-09-18 | 2010-03-30 | Spot Devices, Inc. | Methods, systems and devices related to road mounted indicators for providing visual indications to approaching traffic |
US20050151846A1 (en) * | 2004-01-14 | 2005-07-14 | William Thornhill | Traffic surveillance method and system |
US7983835B2 (en) | 2004-11-03 | 2011-07-19 | Lagassey Paul J | Modular intelligent transportation system |
US7616293B2 (en) * | 2004-04-29 | 2009-11-10 | Sigma Space Corporation | System and method for traffic monitoring, speed determination, and traffic light violation detection and recording |
US7323987B2 (en) * | 2004-06-28 | 2008-01-29 | Sigma Space Corporation | Compact single lens laser system for object/vehicle presence and speed determination |
WO2006050522A2 (fr) * | 2004-11-03 | 2006-05-11 | Eastern Investments, Llc | Systeme modulaire intelligent de transport |
US7348895B2 (en) * | 2004-11-03 | 2008-03-25 | Lagassey Paul J | Advanced automobile accident detection, data recordation and reporting system |
US7860640B1 (en) | 2006-02-24 | 2010-12-28 | Wall Iii Henry H | Marker means for determining direction and zoom of a means for viewing |
US7953546B1 (en) | 2005-03-08 | 2011-05-31 | Wall Iii Henry H | Traffic surveillance system and process |
US7689347B2 (en) * | 2005-03-08 | 2010-03-30 | Wall Iii Henry H | Traffic signal light control system and method |
US7890126B2 (en) * | 2005-05-31 | 2011-02-15 | Alcatel-Lucent Usa Inc. | Network support for remote sign content update |
US7495579B2 (en) * | 2005-06-13 | 2009-02-24 | Sirota J Marcos | Traffic light status remote sensor system |
US20070150174A1 (en) * | 2005-12-08 | 2007-06-28 | Seymour Shafer B | Predictive navigation |
US20070135990A1 (en) * | 2005-12-08 | 2007-06-14 | Seymour Shafer B | Navigation route information for traffic management |
WO2009150528A2 (fr) * | 2008-06-13 | 2009-12-17 | Tmt Services And Supplies (Pty) Limited | Système et procédé de régulation trafic |
US8174406B2 (en) * | 2008-07-02 | 2012-05-08 | International Business Machines Corporation | Detecting and sharing road traffic condition information |
CN102906800B (zh) | 2010-02-01 | 2015-04-29 | 影视技术集成公司 | 建模和优化交通网络性能的系统及方法 |
KR20130007754A (ko) * | 2011-07-11 | 2013-01-21 | 한국전자통신연구원 | 자율주행 교차로에서 차량 제어 장치 및 그 방법 |
US20130101159A1 (en) * | 2011-10-21 | 2013-04-25 | Qualcomm Incorporated | Image and video based pedestrian traffic estimation |
JP5883833B2 (ja) * | 2013-08-05 | 2016-03-15 | 富士重工業株式会社 | 車外環境認識装置 |
US10328855B2 (en) | 2015-03-18 | 2019-06-25 | Uber Technologies, Inc. | Methods and systems for providing alerts to a connected vehicle driver and/or a passenger via condition detection and wireless communications |
US9610893B2 (en) | 2015-03-18 | 2017-04-04 | Car1St Technologies, Llc | Methods and systems for providing alerts to a driver of a vehicle via condition detection and wireless communications |
DE102015109775B3 (de) | 2015-06-18 | 2016-09-22 | RobArt GmbH | Optischer Triangulationssensor zur Entfernungsmessung |
DE102015114883A1 (de) | 2015-09-04 | 2017-03-09 | RobArt GmbH | Identifizierung und Lokalisierung einer Basisstation eines autonomen mobilen Roboters |
DE102015119501A1 (de) | 2015-11-11 | 2017-05-11 | RobArt GmbH | Unterteilung von Karten für die Roboternavigation |
DE102015119865B4 (de) | 2015-11-17 | 2023-12-21 | RobArt GmbH | Robotergestützte Bearbeitung einer Oberfläche mittels eines Roboters |
DE102016102644A1 (de) | 2016-02-15 | 2017-08-17 | RobArt GmbH | Verfahren zur Steuerung eines autonomen mobilen Roboters |
US10490066B2 (en) * | 2016-12-29 | 2019-11-26 | X Development Llc | Dynamic traffic control |
US11709489B2 (en) | 2017-03-02 | 2023-07-25 | RobArt GmbH | Method for controlling an autonomous, mobile robot |
WO2019018766A1 (fr) | 2017-07-20 | 2019-01-24 | Carnegie Mellon University | Système et procédé de contrôle de trafic adaptatif |
US10803740B2 (en) | 2017-08-11 | 2020-10-13 | Cubic Corporation | System and method of navigating vehicles |
US10636299B2 (en) | 2017-08-11 | 2020-04-28 | Cubic Corporation | System and method for controlling vehicular traffic |
US10373489B2 (en) * | 2017-08-11 | 2019-08-06 | Cubic Corporation | System and method of adaptive controlling of traffic using camera data |
US10636298B2 (en) | 2017-08-11 | 2020-04-28 | Cubic Corporation | Adaptive traffic control using object tracking and identity details |
US10395522B2 (en) | 2017-08-14 | 2019-08-27 | Cubic Corporation | Adaptive traffic optimization using unmanned aerial vehicles |
US11250699B2 (en) | 2017-08-14 | 2022-02-15 | Cubic Corporation | System and method of adaptive traffic management at an intersection |
US10935388B2 (en) | 2017-08-14 | 2021-03-02 | Cubic Corporation | Adaptive optimization of navigational routes using traffic data |
US11100336B2 (en) | 2017-08-14 | 2021-08-24 | Cubic Corporation | System and method of adaptive traffic management at an intersection |
US10140859B1 (en) | 2017-08-17 | 2018-11-27 | International Business Machines Corporation | Amelioration of traffic gridlock conditions |
US11069236B2 (en) * | 2017-10-05 | 2021-07-20 | Carnegie Mellon University | Systems and methods for virtual traffic lights implemented on a mobile computing device |
US10559198B1 (en) * | 2018-08-08 | 2020-02-11 | Cubic Corporation | System and method of adaptive controlling of traffic using zone based occupancy |
US11158188B2 (en) | 2019-05-15 | 2021-10-26 | International Business Machines Corporation | Autonomous vehicle safety system |
CN111383453B (zh) * | 2020-02-18 | 2022-05-20 | 山东摩西网络科技有限公司 | 交通信号控制在线仿真和实时跟踪反馈系统及运行方法 |
EP3992938A1 (fr) * | 2020-10-28 | 2022-05-04 | Colás Pasamontes, José | Dispositif et procédé de commande de feux de circulation intelligent et accessible |
CN113450569A (zh) * | 2021-06-30 | 2021-09-28 | 阿波罗智联(北京)科技有限公司 | 确定路口状态的方法、装置、电子设备和存储介质 |
CN116913097B (zh) * | 2023-09-14 | 2024-01-19 | 江西方兴科技股份有限公司 | 一种交通状态预测方法及系统 |
CN117636270B (zh) * | 2024-01-23 | 2024-04-09 | 南京理工大学 | 基于单目摄像头的车辆抢道事件识别方法及设备 |
Family Cites Families (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4907160A (en) * | 1986-01-09 | 1990-03-06 | Econolite Control Products, Inc. | Intersection monitor |
US4847772A (en) * | 1987-02-17 | 1989-07-11 | Regents Of The University Of Minnesota | Vehicle detection through image processing for traffic surveillance and control |
GB2231753A (en) * | 1989-05-05 | 1990-11-21 | Golden River Ltd | Traffic incident monitoring with vido cameras |
JP2712844B2 (ja) * | 1990-04-27 | 1998-02-16 | 株式会社日立製作所 | 交通流計測装置及び交通流計測制御装置 |
FR2667710B1 (fr) * | 1990-10-05 | 1994-09-02 | Francis Guillot | Dispositif de detection d'anomalies de circulation integree sur site dans une armoire. |
DE4105809A1 (de) * | 1991-02-23 | 1992-09-03 | Industrieanlagen Betriebsges | Dynamische verkehrsflussanalyse und -steuerung mittels bilderkennung |
US5509082A (en) * | 1991-05-30 | 1996-04-16 | Matsushita Electric Industrial Co., Ltd. | Vehicle movement measuring apparatus |
US5309155A (en) * | 1992-07-07 | 1994-05-03 | Industrial Technology Research Institute | Control apparatus for network traffic light |
JP2816919B2 (ja) * | 1992-11-05 | 1998-10-27 | 松下電器産業株式会社 | 空間平均速度および交通量推定方法、地点交通信号制御方法、交通量推定・交通信号制御機制御装置 |
CA2134717C (fr) * | 1994-10-31 | 1999-02-23 | Rod Klashinsky | Systeme de surveillance de la circulation et calculs de vitesses securitaires |
US5777564A (en) * | 1996-06-06 | 1998-07-07 | Jones; Edward L. | Traffic signal system and method |
US6133854A (en) * | 1998-07-14 | 2000-10-17 | Motorola, Inc. | Satellite supported traffic signal controller |
US6100819A (en) * | 1999-08-12 | 2000-08-08 | Mark White | Vehicular traffic signalization method and apparatus for automatically documenting traffic light violations and protecting non-violating drivers |
-
1997
- 1997-05-20 FR FR9706117A patent/FR2763726B1/fr not_active Expired - Fee Related
-
1998
- 1998-05-20 EP EP98925766A patent/EP1034523A1/fr not_active Ceased
- 1998-05-20 WO PCT/FR1998/001024 patent/WO1998053437A1/fr not_active Application Discontinuation
-
1999
- 1999-11-19 US US09/443,913 patent/US6366219B1/en not_active Expired - Fee Related
Non-Patent Citations (6)
Title |
---|
BIELLI M. ET AL: "ARTIF.INTELL.APPLIC. TO TRAFFIC ENGNG", 1994, VSP, article SELLAM S. AND BOULMAKOUL A.: "Intelligent Intersection: Artificial Intelligence and Computer Vision Techniques for Automatic Incident Detection", pages: 189 - 200, XP002956749 |
BOILLOT F. ET AL.: "Optimal signal control of urban traffic networks", ROAD TRAFFIC MONITORING, IEE CONF. PUB. 355, 1992, pages 1 - 5, XP003019550 |
BOILLOT F. ET AL: "Surveillance et côntrole automatique de carrefours à feux - projet Carrefour Intelligent", ATAC - 1ERE JOURNEE D'ETUDE, vol. VII, 28 March 1995 (1995-03-28), pages 73 - 76, XP002956714 |
HOUMMADY B.: "Systeme d'Analyse de Mouvement dans les Images Routieres", THESE, vol. 52, 17 June 1988 (1988-06-17), SAINT-ETIENNE, FR, pages 141 - 174, XP002956715 |
See also references of WO9853437A1 |
SELLAM S. ET AL: "Carrefour Intelligent - Un système de surveillance et de contrôle des carrefours urbains", RECHERCHE TRANSPORTS SECURITE, no. 28, December 1990 (1990-12-01), pages 45 - 50, XP002956748 |
Also Published As
Publication number | Publication date |
---|---|
FR2763726B1 (fr) | 2003-01-17 |
WO1998053437A1 (fr) | 1998-11-26 |
FR2763726A1 (fr) | 1998-11-27 |
US6366219B1 (en) | 2002-04-02 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP1034523A1 (fr) | Procede et dispositif pour la gestion de la circulation routiere utilisant la camera video comme source d'information | |
CN101795395B (zh) | 一种人群态势监控系统及方法 | |
US11887453B2 (en) | Luminaire network with sensors | |
CN104613892B (zh) | 融合视频检测技术和激光测距技术的复合雪深监测系统 | |
CN113538898A (zh) | 一种基于多源数据的高速公路拥堵管控系统 | |
CN109615864A (zh) | 基于视频结构化的车辆拥堵分析方法、系统、终端及存储介质 | |
CN108717521A (zh) | 一种基于图像的停车场秩序管理方法及系统 | |
CN110956104A (zh) | 一种检测垃圾桶溢出的方法、装置及系统 | |
WO2021199915A1 (fr) | Système d'affichage de dégradation, procédé d'affichage de dégradation et support de stockage | |
FR2922347A1 (fr) | 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 | |
Cheng et al. | Automatic incident detection for urban expressways based on segment traffic flow density | |
JP2023103210A (ja) | 装置、方法およびプログラム | |
Meier et al. | Real-time avalanche detection with long-range, wide-angle radars for road safety in Zermatt, Switzerland | |
KR100703818B1 (ko) | 차량 검지기를 이용한 교통관리 시스템 | |
CN116884199A (zh) | 一种人流的预警方法、装置、设备及存储介质 | |
EP1834316B1 (fr) | Dispositif et procédé de gestion de parking | |
Bäumler et al. | Generating representative test scenarios: The fuse for representativity (Fuse4Rep) process model for collecting and analysing traffic observation data | |
JP6892197B1 (ja) | 劣化表示システム、劣化表示方法、及び、プログラム | |
JP2004102380A (ja) | 混雑度調査装置 | |
CN114648718A (zh) | 道路占道检测方法、系统、电子设备及可读存储介质 | |
Chien et al. | Integration of Lane-Specific Traffic Data Generated from Real-Time CCTV Videos into INDOT's Traffic Management System | |
Evans | Improving road incident detection algorithm performance with contextual data | |
Czyzewski et al. | Visual traffic noise monitoring in urban areas | |
Payne et al. | Development and testing of operational incident detection algorithms: technical report | |
CN116109098A (zh) | 一种安全应急管理指挥调度系统及方法 |
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 |
|
17P | Request for examination filed |
Effective date: 20000105 |
|
AK | Designated contracting states |
Kind code of ref document: A1 Designated state(s): AT BE CH CY DE DK ES FI FR GB GR IE IT LI LU MC NL PT SE Kind code of ref document: A1 Designated state(s): BE CH DE ES GB IT LI |
|
TPAD | Observations filed by third parties |
Free format text: ORIGINAL CODE: EPIDOS TIPA |
|
TPAD | Observations filed by third parties |
Free format text: ORIGINAL CODE: EPIDOS TIPA |
|
RBV | Designated contracting states (corrected) |
Designated state(s): BE CH DE ES GB IT LI |
|
17Q | First examination report despatched |
Effective date: 20030717 |
|
TPAC | Observations filed by third parties |
Free format text: ORIGINAL CODE: EPIDOSNTIPA |
|
TPAC | Observations filed by third parties |
Free format text: ORIGINAL CODE: EPIDOSNTIPA |
|
TPAC | Observations filed by third parties |
Free format text: ORIGINAL CODE: EPIDOSNTIPA |
|
STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: THE APPLICATION HAS BEEN REFUSED |
|
18R | Application refused |
Effective date: 20080302 |