EP0978811A2 - Procédé et appareil de saisie de durée de trajets de véhicules - Google Patents

Procédé et appareil de saisie de durée de trajets de véhicules Download PDF

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Publication number
EP0978811A2
EP0978811A2 EP99115705A EP99115705A EP0978811A2 EP 0978811 A2 EP0978811 A2 EP 0978811A2 EP 99115705 A EP99115705 A EP 99115705A EP 99115705 A EP99115705 A EP 99115705A EP 0978811 A2 EP0978811 A2 EP 0978811A2
Authority
EP
European Patent Office
Prior art keywords
image data
image
data sets
travel times
route
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.)
Withdrawn
Application number
EP99115705A
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German (de)
English (en)
Other versions
EP0978811A3 (fr
Inventor
Martin Schmidt
Bernhardt Dr. Hering
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.)
Siemens AG
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Siemens AG
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Filing date
Publication date
Application filed by Siemens AG filed Critical Siemens AG
Publication of EP0978811A2 publication Critical patent/EP0978811A2/fr
Publication of EP0978811A3 publication Critical patent/EP0978811A3/fr
Withdrawn legal-status Critical Current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
    • G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors

Definitions

  • the invention relates to a method for determining of travel times of motor vehicles according to the preamble of Claim 1 and a device for implementation of the procedure.
  • Travel time defined as the travel time between two locations on a route, thus as a route-related quantity one of the fundamental sizes in traffic engineering. she can e.g. B used as an input variable for traffic control procedures or can also be used to get current and derive the most accurate traffic information possible. With the meaning of this size for traffic engineering it is natural that a large number of proposals have already become known, the problem of a sufficient for a current traffic situation to solve precisely related travel time determination.
  • Another example is a system from DE-A-41 05 809 for a traffic flow analysis using local data acquisition known.
  • a video camera is used as a detector, the traffic situation at a traffic junction records.
  • the images from this video camera are digitized and processed by a subordinate computer.
  • the pattern recognition process is derived from a sequence of video images Gained information about how many vehicles when, where, what type, e.g. B. bus, Trucks, cars, two-wheelers they were and which direction they took.
  • a stationary one Video camera is preferred to be obtained using the Traffic information to control traffic management systems.
  • the known methods which are designed to actually determine travel times, are based on route-related data acquisition.
  • route-related data acquisition There are two possible approaches.
  • individual vehicles are equipped with measuring and transmission equipment.
  • individual travel speeds or travel times on sections of the route are calculated and the results are transmitted to a central unit.
  • the traffic data received is aggregated.
  • the quality of the so Travel times determined on a route section or the route sections of a traffic route or traffic network can, however, only suffice if these individually equipped vehicles on the route are also so numerous that they are actually representative of the current traffic flow.
  • the present invention is therefore based on the object a method for determining travel times of motor vehicles of the type mentioned and a facility for To carry out this procedure, with which at a data acquisition as simple as possible with the data obtained Measurement data a vehicle description that is nevertheless so significant it is given that the measurement data at the entrance to the route section with the corresponding measurement data at the exit the route section with a sufficient number of measurements can be correlated with reasonable effort and yet safely are.
  • the image information recorded at the control points on the Checked conformity with a given form mask filtered out the image component determined by this shape mask and only the latter processed as significant for the vehicle.
  • the license plate is preferably used as a form mask of the motor vehicles and therefore only the image component comprising the vehicle registration number as the relevant image information processed further. It is probably immediate understand that the extent of the further processing Data can be reduced to a significant degree can and still significant image data for individual Vehicles can be obtained. There are also vehicle registration numbers designed so that they are clearly visible. This makes it easier also the processing of the pictures from here Number and letter combinations, which in themselves pattern recognition has been mastered for a long time.
  • Figure 1 schematically shows a route section, each with a control point at both ends where the passing motor vehicles be optically recorded by means of a video camera, their image sequences coupled with time information as Image data sets by means of remote data transmission from a processing unit which are the received image data correlated and with matching image data sets for individual Vehicles whose travel times are calculated
  • Figure 2 is a block diagram of corresponding devices for Determine travel times of individual vehicles on two neighboring sections as an example of a system of successive route sections and their monitoring.
  • Such a route section is shown schematically in FIG. 1 n of a traffic route 1 is shown.
  • the end points of a section of the route n will be placed in particular where, due to busy entry and exit major changes in the Traffic events result.
  • the access to the route section n i.e. its beginning is indicated by 2 in FIG. 1.
  • the Section n ends with its exit 3.
  • Exit 3 from route section n is also the access road to the neighboring, downstream in the traffic direction next section (n + 1).
  • Entrances and exits 2 or 3 of the route sections, e.g. n form checkpoints at which traffic, that is, the current passing these checkpoints Vehicles being monitored.
  • a detector in the form of a video camera 4 is used, to which an image evaluation unit 5 is connected.
  • the video camera 4 is on those entering control points 2 and 3 respectively Vehicles 6.6 'aligned.
  • the video camera 4 can in equipped in a manner known per se with a timer his. This means that from it to the image evaluation unit 5 delivered video images in a time window Wear timestamps.
  • the image evaluation unit 5 is significant A shape mask saved with the pattern the video images of the motor vehicles 6 recorded by a Pattern comparison whose identifier 61 is filtered out.
  • the license plates 61 'of the motor vehicles 6 are initially such significant features that allow an individual grasp of each enable individual motor vehicle 6 with relatively little effort.
  • Motor vehicle license plates 61 are also standardized and designed so that they are visually possible are clearly recognizable. Furthermore, their arrangement is also on Motor vehicle prescribed in relatively narrow limits. Alles these properties of the vehicle registration number 61 'become this exploited to by a relatively simple pattern comparison in the image evaluation unit 5 from the received video images the video camera 4 together with the time window an image data set filter that digitizes to a remote lying processing unit 7 is transmitted.
  • Figure 1 is schematically such an image data record 63 with the identification pattern 61 and a time window 62 are shown schematically.
  • the video image output from the video camera 4 itself already carries a time stamp. This is only possible because such a time function with corresponding video cameras is quite common. In this case, then but also the time window 62 in the preprocessing of the recorded Video images by the image evaluation unit 5 filter out these video images. To see this process Alternatively, the image evaluation unit 5 itself can save be equipped with a timer to go to the license plate pattern 61 of an image data record 63 the corresponding time stamp add in coded form.
  • Two with regard to their license plate pattern 61 matching image data records 63 is from the in the Time windows 62 contained time information formed the difference and thus determines the travel time t (x, n), which is an individual Motor vehicle, e.g. 6, needed to the route section n to drive through.
  • Image data records 63 only as long as they are in the processing unit 7 keep available as long as they can serve travel times t (x, n) per se of any motor vehicle, e.g. 6, on the respective route section, e.g. n to determine.
  • Image data records 63 only as long as they are in the processing unit 7 keep available as long as they can serve travel times t (x, n) per se of any motor vehicle, e.g. 6, on the respective route section, e.g. n to determine.
  • Information about travel times t (x, n) no individual Information about a particular motor vehicle, e.g. 6.
  • the functional sequences described are completely automatic facilities, such as 4,5 or 7 without human interventions performed. After all, it would be possible to exclude any unwanted access, those from the monitoring devices 4, 5 to the processing unit 7 encrypted image data records 63 to be encrypted. There is no special effort involved because such measures are taken for reasons of data security used more often.
  • FIG. 2 this is shown, among other things, by a block diagram such a structure of facilities for determining Travel times on individual sections of the route (n-1), n (n + 1) shown schematically.
  • This block diagram is on two adjacent section n and (n + 1) related. It essentially shows those already described with reference to FIG. 1 Facilities for determining travel times, each assigned to one of the route sections n or (n + 1) are.
  • Each of the facilities for determining Travel times on a route section one of the central Processing units 7. It is advisable to use the corresponding one central processing unit 7 directly with the image evaluation unit 5 of the corresponding control point connect to. The central receives via this connection Processing unit 7 thus immediately at that control point 2 or 3 recorded and in the image evaluation unit 5 preprocessed image data sets 63.
  • the local processing unit calculates 7 from these two sequences of those fed to it Image data sets, e.g. 63 (n) or 63 (n-1) the travel times t (x, n) for the section n.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
EP99115705A 1998-08-07 1999-08-04 Procédé et appareil de saisie de durée de trajets de véhicules Withdrawn EP0978811A3 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE19835842 1998-08-07
DE19835842 1998-08-07

Publications (2)

Publication Number Publication Date
EP0978811A2 true EP0978811A2 (fr) 2000-02-09
EP0978811A3 EP0978811A3 (fr) 2000-08-16

Family

ID=7876856

Family Applications (1)

Application Number Title Priority Date Filing Date
EP99115705A Withdrawn EP0978811A3 (fr) 1998-08-07 1999-08-04 Procédé et appareil de saisie de durée de trajets de véhicules

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EP (1) EP0978811A3 (fr)

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1276086A1 (fr) * 2001-07-10 2003-01-15 Romolo Donnini Système de surveillance and commande de la vitesse moyenne des véhicules en passage, et de l'inspection du traffic sur des routes et des autoroutes
DE102005036562A1 (de) * 2005-08-03 2007-02-15 Siemens Ag Verfahren und Anordnung zum anonymisierten Erfassen und Auswerten von Fahrzeugreisedaten
US7184779B2 (en) 2001-10-10 2007-02-27 Vodafone Holding Gmbh Method and system for determining displacement time of a mobile user terminal equipment
DE102005043896A1 (de) * 2005-09-14 2007-03-22 Siemens Ag Verfahren zur automatischen Ermittlung von Verkehrsnachfragedaten sowie ein Empfangsgerät und ein Verkehrssteuerungssystem zur Durchführung des Verfahrens
DE202008003979U1 (de) 2008-03-20 2008-06-26 Fraas, Alfred, Dipl.-Ing. Messsystem für die Verkehrsstromanalyse
EP1988528A2 (fr) 2007-05-02 2008-11-05 Vodafone Holding GmbH Procédé et système de détermination de la durée de déplacement de terminaux utilitaires mobiles
DE102007059346A1 (de) * 2007-12-10 2009-06-18 Siemens Ag Verfahren und Vorrichtung zur Erfassung einer Geschwindigkeitsübertretung eines Fahrzeugs
DE102008028112A1 (de) 2008-06-13 2009-12-17 Siemens Aktiengesellschaft Verfahren zur Ermittlung einer Reisezeit
EP2360647A1 (fr) * 2010-01-21 2011-08-24 Kapsch TrafficCom AG Procédé de détection de passages de véhicules
EP2447924A1 (fr) * 2010-10-29 2012-05-02 Siemens Aktiengesellschaft Système d'établissement de la situation de trafic sur une voie de circulation
EP2469497A1 (fr) 2010-12-27 2012-06-27 Kapsch TrafficCom AG Procédé d'enregistrement d'image de véhicules
US8388709B2 (en) 2007-12-06 2013-03-05 Ceratizit Austria Gesellschaft GmbH Coated article
US9594158B2 (en) 2012-08-22 2017-03-14 Kapsch Trafficcom Ag Method and apparatus for capturing an image of a speed-violating vehicle
CN111369785A (zh) * 2018-12-25 2020-07-03 阿里巴巴集团控股有限公司 交通数据处理方法、装置、设备和存储介质
CN112201030A (zh) * 2019-07-08 2021-01-08 现代自动车株式会社 交通信息服务系统和方法
CN114241749A (zh) * 2021-11-26 2022-03-25 深圳市戴升智能科技有限公司 一种基于时间序列的视频信标数据关联方法和系统

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0347090A2 (fr) * 1988-06-15 1989-12-20 Eev Limited Système de surveillance de véhicules
EP0494815A1 (fr) * 1991-01-11 1992-07-15 Regie Nationale Des Usines Renault S.A. Système de mesure du trafic de véhicules automobiles
WO1993019429A1 (fr) * 1992-03-18 1993-09-30 In-Mar-Tech Australia Pty. Ltd. Appareil de prise de vue
WO1993019441A1 (fr) * 1992-03-20 1993-09-30 Commonwealth Scientific And Industrial Research Organisation Systeme de surveillance de la circulation
US5315664A (en) * 1989-12-02 1994-05-24 Ezel, Inc. Number plate recognition system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0347090A2 (fr) * 1988-06-15 1989-12-20 Eev Limited Système de surveillance de véhicules
US5315664A (en) * 1989-12-02 1994-05-24 Ezel, Inc. Number plate recognition system
EP0494815A1 (fr) * 1991-01-11 1992-07-15 Regie Nationale Des Usines Renault S.A. Système de mesure du trafic de véhicules automobiles
WO1993019429A1 (fr) * 1992-03-18 1993-09-30 In-Mar-Tech Australia Pty. Ltd. Appareil de prise de vue
WO1993019441A1 (fr) * 1992-03-20 1993-09-30 Commonwealth Scientific And Industrial Research Organisation Systeme de surveillance de la circulation

Cited By (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1276086A1 (fr) * 2001-07-10 2003-01-15 Romolo Donnini Système de surveillance and commande de la vitesse moyenne des véhicules en passage, et de l'inspection du traffic sur des routes et des autoroutes
US7184779B2 (en) 2001-10-10 2007-02-27 Vodafone Holding Gmbh Method and system for determining displacement time of a mobile user terminal equipment
DE102005036562A1 (de) * 2005-08-03 2007-02-15 Siemens Ag Verfahren und Anordnung zum anonymisierten Erfassen und Auswerten von Fahrzeugreisedaten
DE102005036562B4 (de) * 2005-08-03 2007-05-10 Siemens Ag Verfahren und Anordnung zum anonymisierten Erfassen und Auswerten von Fahrzeugreisedaten
DE102005043896A1 (de) * 2005-09-14 2007-03-22 Siemens Ag Verfahren zur automatischen Ermittlung von Verkehrsnachfragedaten sowie ein Empfangsgerät und ein Verkehrssteuerungssystem zur Durchführung des Verfahrens
EP1988528A2 (fr) 2007-05-02 2008-11-05 Vodafone Holding GmbH Procédé et système de détermination de la durée de déplacement de terminaux utilitaires mobiles
DE102007020602A1 (de) 2007-05-02 2008-11-06 Vodafone Holding Gmbh Verfahren und System zum Ermitteln der Fortbewegungszeit mobiler Nutzer-Endeinrichtungen
US8388709B2 (en) 2007-12-06 2013-03-05 Ceratizit Austria Gesellschaft GmbH Coated article
DE102007059346B4 (de) * 2007-12-10 2009-11-19 Siemens Ag Verfahren und Vorrichtung zur Erfassung einer Geschwindigkeitsübertretung eines Fahrzeugs
DE102007059346A1 (de) * 2007-12-10 2009-06-18 Siemens Ag Verfahren und Vorrichtung zur Erfassung einer Geschwindigkeitsübertretung eines Fahrzeugs
DE202008003979U1 (de) 2008-03-20 2008-06-26 Fraas, Alfred, Dipl.-Ing. Messsystem für die Verkehrsstromanalyse
DE102009013841A1 (de) 2008-03-20 2009-09-24 Fraas, Alfred Messsystem für die Verkehrsstromanalyse
DE102008028112A1 (de) 2008-06-13 2009-12-17 Siemens Aktiengesellschaft Verfahren zur Ermittlung einer Reisezeit
EP2360647A1 (fr) * 2010-01-21 2011-08-24 Kapsch TrafficCom AG Procédé de détection de passages de véhicules
EP2447924A1 (fr) * 2010-10-29 2012-05-02 Siemens Aktiengesellschaft Système d'établissement de la situation de trafic sur une voie de circulation
DE102010062025A1 (de) * 2010-10-29 2012-05-03 Siemens Aktiengesellschaft System zur Ermittlung der Verkehrssituation auf einer Straßenstrecke
EP2469497A1 (fr) 2010-12-27 2012-06-27 Kapsch TrafficCom AG Procédé d'enregistrement d'image de véhicules
CN102568219A (zh) * 2010-12-27 2012-07-11 卡波施交通公司 用于捕获车辆的图像的方法
US9594158B2 (en) 2012-08-22 2017-03-14 Kapsch Trafficcom Ag Method and apparatus for capturing an image of a speed-violating vehicle
CN111369785A (zh) * 2018-12-25 2020-07-03 阿里巴巴集团控股有限公司 交通数据处理方法、装置、设备和存储介质
CN112201030A (zh) * 2019-07-08 2021-01-08 现代自动车株式会社 交通信息服务系统和方法
CN112201030B (zh) * 2019-07-08 2023-03-24 现代自动车株式会社 交通信息服务系统和方法
CN114241749A (zh) * 2021-11-26 2022-03-25 深圳市戴升智能科技有限公司 一种基于时间序列的视频信标数据关联方法和系统

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