EP3333825A1 - Verfahren und system zur prüfung einer durchschnittsgeschwindigkeit eines fahrzeuges in einem strassenabschnitt - Google Patents

Verfahren und system zur prüfung einer durchschnittsgeschwindigkeit eines fahrzeuges in einem strassenabschnitt Download PDF

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Publication number
EP3333825A1
EP3333825A1 EP16306662.4A EP16306662A EP3333825A1 EP 3333825 A1 EP3333825 A1 EP 3333825A1 EP 16306662 A EP16306662 A EP 16306662A EP 3333825 A1 EP3333825 A1 EP 3333825A1
Authority
EP
European Patent Office
Prior art keywords
vehicle
number plate
locations
average speed
information representative
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
Application number
EP16306662.4A
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English (en)
French (fr)
Inventor
Christian Winter
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.)
Idemia Identity and Security France SAS
Original Assignee
Safran Identity and Security SAS
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 Safran Identity and Security SAS filed Critical Safran Identity and Security SAS
Priority to EP16306662.4A priority Critical patent/EP3333825A1/de
Priority to EP17306707.5A priority patent/EP3333826A1/de
Publication of EP3333825A1 publication Critical patent/EP3333825A1/de
Ceased 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
    • G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
    • G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
    • 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
    • G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
    • G08G1/054—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed photographing overspeeding vehicles

Definitions

  • the present invention relates generally to a method and a system for checking an average speed of a vehicle in a section of road.
  • a traffic enforcement camera also named red light camera, road safety camera, road rule camera, is a camera which may be mounted beside or over a road or installed in an enforcement vehicle to detect traffic regulation violations like for example speeding.
  • Speed enforcement cameras are used to monitor compliance with speed limits, which may use automatic number plate recognition.
  • ANPR Automatic Number Plate Recognition
  • Mobile automatic number plate recognition systems embedded within enforcement vehicles like police cars, measure the instantaneous speed of vehicles and are not able today to measure an average speed.
  • the present invention aims to overcome the aforementioned problems in order to provide a mobile automatic number plate recognition system.
  • the present invention concerns a method for checking an average speed of a vehicle in a section of road, characterized in that the method comprises the steps of:
  • the present invention also concerns a system for determining an average speed of a vehicle in a section of road, characterized in that the system comprises:
  • the occupants of the enforcement vehicle get immediate feedback about speed violations of vehicles, so they can directly decide to stop the vehicle for additional control like for example the driver license or tachograph data.
  • the capturing of the image is performed when the moving enforcement vehicle overtakes or is overtaken by the vehicle.
  • the capturing of the image is performed when the moving enforcement vehicle is at a predetermined distance of the vehicle.
  • the geolocation of the vehicles can be calculated by exact position of the enforcement vehicle and the predetermined distance.
  • the capturing, the automatic number plate recognition algorithm execution, the memorizing, the checking, the determining and the notifying are performed by a mobile automatic number plate recognition system comprised in the moving enforcement vehicle.
  • the capturing, the automatic number plate recognition algorithm execution, the memorizing are performed by a mobile automatic number plate recognition system comprised in the moving enforcement vehicle
  • the checking, the determining are performed by a server
  • the notifying is performed by the mobile automatic number plate recognition system comprised in the moving enforcement vehicle and the mobile automatic number plate recognition system transfers to the server a message comprising the output of the extracted figures and characters of the number plate, the time and the position and the server transfers, to the mobile automatic number plate recognition system comprised in the moving enforcement vehicle, a message comprising the average speed of the vehicle together with the average speed limitation between the two locations.
  • data captured by mobile enforcement vehicles can be feed into existing central servers running with Automatic Number Plate Recognition system.
  • the figures and characters memorized two times are received from different mobile automatic number plate recognition systems comprised in the different moving enforcement vehicles.
  • two enforcement vehicle can share captures and are not required to capture a vehicle two times before being able to check the average speed of a vehicle.
  • the figures and characters memorized the first time are received from a fixed speed enforcement camera.
  • the enforcement vehicle can check the average speed of a vehicle already when capturing it the first time.
  • Fig. 1a represents a portion of road in which the present invention is implemented according to a first mode of realization.
  • a mobile automatic number plate recognition system 100 is embedded within an enforcement vehicle PLa like, for example a police car.
  • the mobile automatic number plate recognition system 100 does not check the current maximum speed, but the average speed of vehicles in a given sector or section of road.
  • the sector starts when the enforcement vehicle PLa car overtakes or is overtaken by a vehicle VH a first time at a position P1 or when the vehicle VH is in front of, behind of or next to the enforcement vehicle and stops when the enforcement vehicle PLa car overtakes or is overtaken by the vehicle VH a second time at a position P2 or when the vehicle VH is in front of, behind of or next to the enforcement vehicle.
  • motorway police cars stop or patrol at each service area of the motorway. Prior to the service area, the motorway police car may overtake cars or trucks.
  • the number plate of each vehicle VH which overtakes or is overtaken by the motorway police car or is in front of or behind the motorway police car is captured by a camera, the number plate is recognized and stored with current geolocation and time inside a local database.
  • the motorway police car drives again on the road and the number plate of each vehicle VH which overtakes or is overtaken by the motorway police car or is in front of or behind the motorway police car is captured by a camera, the number plate is recognized and stored with current geolocation and time inside a local database embedded within the motorway police car.
  • the mobile automatic number plate recognition system 100 checks in the database if there is a "match" with a previously recorded entry. In case of a match, the mobile automatic number plate recognition system 100 calculates the average speed of the vehicle of which the number plate matches between the two recorded geolocations taking the shortest possible path.
  • the shortest possible path may be determined according to a map, a GPS system.
  • the mobile automatic number plate recognition system 100 determines an average speed of the vehicle and displays information representative of the average speed to the police officers in the car together with information representative of the theoretical maximum allowed speed for the given sector.
  • the police officers can decide case by case to stop the vehicle.
  • the police officer may stop the truck in order to check the tachograph of the truck and file a ticket if necessary.
  • Fig. 1b represents a portion of road in which the present invention is implemented according to a second mode of realization.
  • mobile automatic number plate recognition systems 100 are embedded within a plurality of enforcement vehicles PLa and PLb which are linked to a server Serv and the clocks of which are synchronized.
  • the mobile automatic number plate recognition systems 100 do not check the current maximum speed, but the average speed of vehicles in a given sector.
  • the sector starts when a first enforcement vehicle PL1b car overtakes or is overtaken by a vehicle VH or is in front of or behind the enforcement vehicle a first time at a position P1.
  • the sector stops when a second enforcement vehicle PL2b car overtakes or is overtaken or is in front of or behind the enforcement vehicle by the vehicle VH a second time at a position P2.
  • the number plate of each vehicle VH which overtakes or is overtaken by the enforcement vehicle PL1b is captured by a camera, the number plate is recognized and transferred to the server Serv together with the current geolocation and time.
  • the number plate of each vehicle VH which overtakes or is overtaken by the enforcement vehicle PL2b or is in front of or behind the second enforcement vehicle PL2b is captured by a camera, the number plate is recognized and transferred to the server Serv together with the current geolocation and time.
  • the server Serv checks in the database if there is a "match" with a previously recorded entry that may be received by the enforcement vehicle PL1b or another enforcement vehicle PL1a. In case of a match, the server Serv calculates the average speed of the vehicle of which the number plate matches between the two recorded geolocations taking the shortest possible path. The shortest possible path may be determined according to a map, a GPS system. The server Serv determines an average speed of the vehicle and, if the average speed is upper than the theoretical maximum allowed speed between both captures, the server Serv commands the transfer of a message to the enforcement vehicle PL2b which has performed the last capture.
  • the mobile automatic number plate recognition system 100 displays information representative of the average speed to the police officers in the enforcement vehicle PL2b together with information representative of the theoretical maximum allowed speed for the given sector.
  • the police officers can decide case by case to stop the vehicle.
  • the police officer may stop the truck in order to check the tachograph of the truck and file a ticket if necessary.
  • Fig. 1c represents a portion of road in which the present invention is implemented according to a third mode of realization.
  • mobile automatic number plate recognition systems 100 are embedded within a plurality of enforcement vehicles PLc and within fixed speed enforcement cameras RD which are linked to a server Serv.
  • the mobile automatic number plate recognition systems 100 do not check the current maximum speed, but the average speed of vehicles in a given sector.
  • the sector starts when a vehicle VH goes through an area controlled by the fixed speed enforcement camera RD at a position P1.
  • the sector stops when an enforcement vehicle PLc car overtakes or is overtaken by the vehicle VH at a position P2 or when the vehicle VH is in front of or behind the enforcement vehicle.
  • the number plate of the vehicle VH is captured by a camera, the number plate is recognized and transferred to the server Serv together with the current geolocation and time.
  • the number plate of each vehicle VH which overtakes or is overtaken by the enforcement vehicle PLc or which is in front of or behind the enforcement vehicle PLc is captured by a camera, the number plate is recognized and transferred to the server Serv together with the current geolocation and time.
  • the server Serv checks in the database if there is a "match" with a previously recorded entry. In case of a match, the server Serv calculates the average speed of the vehicle of which the number plate matches between the two recorded geolocations taking the shortest possible path. The shortest possible path may be determined according to a map, a GPS system. The server Serv determines an average speed of the vehicle and, if the average speed is upper than the theoretical maximum allowed speed between both captures, the server Serv commands the transfer of a message to the enforcement vehicle PLc which has performed the last capture.
  • the mobile automatic number plate recognition system 100 displays information representative of the average speed to the police officers in the enforcement vehicle PLc together with the information representative of theoretical maximum allowed speed for the given sector.
  • the police officers can decide case by case to stop the vehicle.
  • the police officer may stop the truck in order to check the tachograph of the truck and file a ticket if necessary.
  • Fig. 2 is a diagram representing the architecture of a mobile automatic number plate recognition system according to the present invention.
  • the mobile automatic number plate recognition system 100 has, for example, an architecture based on components connected together by a bus 201 and a processor 200 controlled by the programs as disclosed in Fig. 4 or 5 .
  • the mobile automatic number plate recognition system 100 may have an architecture based on dedicated integrated circuits.
  • the bus 201 links the processor 200 to a read only memory ROM 202, a random access memory RAM 203, a network interface 204, a display 205, a Global Positioning System (GPS) 206, a camera 207 and a clock 208.
  • the memory 203 contains registers intended to receive variables and the instructions of the program related to the algorithm as disclosed in Fig. 4 or 5 .
  • the read only memory 202 contains instructions of the program related to the algorithm as disclosed in Fig. 4 or 5 , which are transferred, when the mobile automatic number plate recognition system 100 is powered on, to the random access memory 203.
  • Any and all steps of the algorithm described hereafter with regard to Fig. 4 or 5 may be implemented in software by execution of a set of instructions or program by a programmable computing machine, such as a PC ( Personal Computer ), a DSP ( Digital Signal Processor ) or a microcontroller; or else implemented in hardware by a machine or a dedicated component, such as an FPGA ( Field-Programmable Gate Array) or an ASIC ( Application-Specific Integrated Circuit ).
  • a programmable computing machine such as a PC ( Personal Computer ), a DSP ( Digital Signal Processor ) or a microcontroller; or else implemented in hardware by a machine or a dedicated component, such as an FPGA ( Field-Programmable Gate Array) or an ASIC ( Application-Specific Integrated Circuit ).
  • the mobile automatic number plate recognition system 100 includes circuitry, or a device including circuitry, causing the mobile automatic number plate recognition system 100 to perform the steps of the algorithm described hereafter with regard to Fig. 4 or 5 .
  • Fig. 3 is a diagram representing the architecture of a server in which the present invention is implemented.
  • the server Serv has, for example, an architecture based on components connected together by a bus 301 and a processor 300 controlled by the program as disclosed in Fig. 6 .
  • the bus 301 links the processor 300 to a read only memory ROM 302, a random access memory RAM 303, a map module 306 and a network interface 304.
  • the memory 303 contains registers intended to receive variables and the instructions of the program related to the algorithm as disclosed in Fig. 6 .
  • the read only memory 302 contains instructions of the program related to the algorithm as disclosed in Fig. 6 , which are transferred, when the server Serv is powered on, to the random access memory 303.
  • Any and all steps of the algorithm described hereafter with regard to Fig. 6 may be implemented in software by execution of a set of instructions or program by a programmable computing machine, such as a PC ( Personal Computer ), a DSP ( Digital Signal Processor ) or a microcontroller; or else implemented in hardware by a machine or a dedicated component, such as an FPGA ( Field-Programmable Gate Array) or an ASIC ( Application-Specific Integrated Circuit ).
  • a programmable computing machine such as a PC ( Personal Computer ), a DSP ( Digital Signal Processor ) or a microcontroller; or else implemented in hardware by a machine or a dedicated component, such as an FPGA ( Field-Programmable Gate Array) or an ASIC ( Application-Specific Integrated Circuit ).
  • the server Serv includes circuitry, or a device including circuitry, causing the RSU type base station 30 to perform the steps of the algorithm described hereafter with regard to Fig. 6 .
  • Fig. 4 discloses an example of an algorithm executed by a mobile automatic number plate recognition system according to the first mode of realization of the present invention.
  • the present algorithm is disclosed in an example wherein it is executed by the processor 200 of the mobile automatic number plate recognition system.
  • the processor 200 determines the distance separating the enforcement vehicle PL from the vehicle VH.
  • the distance is for example determined by measuring the size of the number plate of the vehicle VH within an image taken by the camera 208 and comparing it to a predetermined value.
  • the distance between the enforcement vehicle PL and the vehicle VH is equal to a predetermined distance.
  • the processor 200 moves then to step S401 and commands the camera 208 to capture an image of the number plate.
  • the image is memorized in the RAM memory 203.
  • the processor 200 applies an automatic number plate recognition algorithm in order to extract figures and characters of the number plate.
  • the processor 200 stores in the memory 203, in combination with the image, the output of the extracted figures and characters of the number plate, the time of the clock 208 and the position given by the GPS module 206.
  • the image, the output of the extracted figures and characters of the number plate, the time and the position are memorized during a predetermined period of time, for example, 15mn, 1 hour, 4 hours, 8 hours, and deleted once the predetermined period of time ends.
  • the processor 200 checks if the figures and characters of the number plate have already been stored in the RAM memory 203.
  • the processor 200 obtains the road shortest path between the points P1 and P2.
  • the road shortest path is for example given by the GPS module 206 which has a GPS-based geographical navigation capability.
  • the processor 200 obtains the maximum speed limitation or limitations along the section.
  • the processor 200 determines information representative of the average speed for the obtained road shortest path using the obtained maximum speed limitation or limitations along the section that corresponds to a theoretical maximum speed.
  • the processor 200 determines the average speed of the vehicle VH along the obtained road shortest path using the times stored at positions P1 and P2.
  • the processor 200 checks if the average speed of the vehicle VH is upper than information representative of the theoretical maximum speed for the obtained road shortest path.
  • step S410 If the average speed of the vehicle VH is upper than the average speed for the obtained road shortest path, the processor 200 moves to step S410. Otherwise, the processor 200 returns to step S400.
  • the processor 200 notifies through the display 205 information representative of the average speed to the police officers in the enforcement vehicle PL together with information representative of the theoretical maximum allowed speed for the given sector.
  • the processor 200 notifies through the display 205 the difference of time between the instant the vehicle VH enters in the sector and the instant the vehicle VH leaves the sector.
  • the police officers can decide case by case to stop the vehicle and/or to take a picture of the driver of the vehicle.
  • the police officer may stop the truck in order to check the tachograph of the truck and file a ticket if necessary.
  • Fig. 5 discloses an example of an algorithm executed by a mobile automatic number plate recognition system according to the second and third modes of realization of the present invention.
  • the present algorithm is disclosed in an example wherein it is executed by the processor 200 of the mobile automatic number plate recognition system.
  • the processor 200 determines the distance separating the enforcement vehicle PL from the vehicle VH.
  • the distance is for example determined by measuring the size of the number plate of the vehicle VH within an image taken by the camera 208 and comparing it to a predetermined value.
  • the distance between the enforcement vehicle PL and the vehicle VH is equal to a predetermined distance.
  • the processor 200 moves then to step S501 and commands the camera 208 to capture an image of the number plate.
  • the image is memorized in the RAM memory 203.
  • the processor 200 applies an automatic number plate recognition algorithm in order to extract figures and characters of the number plate.
  • the processor 200 commands the transfer to the server Serv through the network interface 204, in combination with the image, the output of the extracted figures and characters of the number plate, the time of the clock 208 and the position given by the GPS module 206.
  • the processor 200 checks if a message is received from the server Serv.
  • the message comprises information representative of the average speed of the vehicle VH together with information representative of the theoretical maximum allowed speed for the given sector.
  • the message may further comprise an image, figures and characters of the number plate, the time and position of a previous image capture performed by the mobile automatic number plate recognition system or another mobile automatic number plate recognition system, the difference of time between the instant the vehicle VH enters in the sector and the instant the vehicle VH leaves the sector.
  • the processor 200 notifies, through the display 205, information representative of the average speed to the police officers in the enforcement vehicle PL together with information representative of the theoretical maximum allowed speed for the given sector.
  • the processor 200 notifies through the display 205 the difference of time between the instant the vehicle VH enters in the sector and the instant the vehicle VH leaves the sector.
  • the police officers can decide case by case to stop the vehicle and/or to take a picture of the driver of the vehicle.
  • the police officer may stop the truck in order to check the tachograph of the truck and file a ticket if necessary.
  • Fig. 6 discloses an example of an algorithm executed by a server according to the second and third modes of realization of the present invention.
  • the present algorithm is disclosed in an example wherein it is executed by the processor 300 of the server Serv.
  • the processor 300 receives a message from a mobile automatic number plate recognition system through the network interface 304.
  • the message comprises, in combination with an image, the output of the extracted figures and characters of the number plate, a time and a position.
  • the processor 300 stores the image, the output of the extracted figures and characters of the number plate, the time and the position in the RAM memory 303.
  • the image, the output of the extracted figures and characters of the number plate, the time and the position are memorized during a predetermined period of time, for example, 15mn, 1 hour, 4 hours and deleted once the predetermined period of time ends.
  • the processor 300 checks if the figures and characters of the number plate have already been stored in the RAM memory 303.
  • the processor 300 obtains the road shortest path between the points P1 and P2.
  • the road shortest path is for example given by the map module 306 or by a GPS-based geographical navigation system.
  • the processor 300 obtains the maximum speed limitation or limitations along the section.
  • the processor 300 determines the theoretical maximum speed for the obtained road shortest path using the obtained maximum speed limitation or limitations along the section.
  • the processor 300 determines the average speed of the vehicle VH along the obtained road shortest path using the times stored at positions P1 and P2.
  • the processor 300 checks if the average speed of the vehicle VH is upper than the theoretical maximum speed for the obtained road shortest path.
  • step S608 If the average speed of the vehicle VH is upper than the average speed for the obtained road shortest path, the processor 300 moves to step S608. Otherwise, the processor 300 returns to step S600.
  • step S608 the processor 300 commands the transfer of a message to the mobile automatic number plate recognition system which transferred the message received at step S600.
  • the message comprises the average speed of the vehicle VH together with the theoretical maximum allowed speed for the given sector.
  • the message may further comprise an image, figures and characters of the number plate, the time and position of a previous image capture performed by the mobile automatic number plate recognition system or another mobile automatic number plate recognition system, the difference of time between the instant the vehicle VH enters in the sector and the instant the vehicle VH leaves the sector.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
  • Character Discrimination (AREA)
EP16306662.4A 2016-12-12 2016-12-12 Verfahren und system zur prüfung einer durchschnittsgeschwindigkeit eines fahrzeuges in einem strassenabschnitt Ceased EP3333825A1 (de)

Priority Applications (2)

Application Number Priority Date Filing Date Title
EP16306662.4A EP3333825A1 (de) 2016-12-12 2016-12-12 Verfahren und system zur prüfung einer durchschnittsgeschwindigkeit eines fahrzeuges in einem strassenabschnitt
EP17306707.5A EP3333826A1 (de) 2016-12-12 2017-12-06 Verfahren und system zur prüfung einer durchschnittsgeschwindigkeit eines fahrzeuges in einem strassenabschnitt

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP16306662.4A EP3333825A1 (de) 2016-12-12 2016-12-12 Verfahren und system zur prüfung einer durchschnittsgeschwindigkeit eines fahrzeuges in einem strassenabschnitt

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EP3333825A1 true EP3333825A1 (de) 2018-06-13

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EP16306662.4A Ceased EP3333825A1 (de) 2016-12-12 2016-12-12 Verfahren und system zur prüfung einer durchschnittsgeschwindigkeit eines fahrzeuges in einem strassenabschnitt
EP17306707.5A Withdrawn EP3333826A1 (de) 2016-12-12 2017-12-06 Verfahren und system zur prüfung einer durchschnittsgeschwindigkeit eines fahrzeuges in einem strassenabschnitt

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EP17306707.5A Withdrawn EP3333826A1 (de) 2016-12-12 2017-12-06 Verfahren und system zur prüfung einer durchschnittsgeschwindigkeit eines fahrzeuges in einem strassenabschnitt

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110021164A (zh) * 2019-03-02 2019-07-16 合肥学院 基于行驶时间数据的网约车路网占有率分析方法

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102008028944A1 (de) * 2008-06-18 2009-12-31 Siemens Aktiengesellschaft Verfahren und Vorrichtung zur Erfassung einer Geschwindigkeitsübertretung eines Fahrzeugs

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102008028944A1 (de) * 2008-06-18 2009-12-31 Siemens Aktiengesellschaft Verfahren und Vorrichtung zur Erfassung einer Geschwindigkeitsübertretung eines Fahrzeugs

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110021164A (zh) * 2019-03-02 2019-07-16 合肥学院 基于行驶时间数据的网约车路网占有率分析方法

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