EP2009610B1 - Procédé et dispositif destinés à déterminer une quantité de trafic relative à une voie d'un réseau routier - Google Patents

Procédé et dispositif destinés à déterminer une quantité de trafic relative à une voie d'un réseau routier Download PDF

Info

Publication number
EP2009610B1
EP2009610B1 EP08104501A EP08104501A EP2009610B1 EP 2009610 B1 EP2009610 B1 EP 2009610B1 EP 08104501 A EP08104501 A EP 08104501A EP 08104501 A EP08104501 A EP 08104501A EP 2009610 B1 EP2009610 B1 EP 2009610B1
Authority
EP
European Patent Office
Prior art keywords
vehicle
vehicles
travel time
data
calculated
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.)
Not-in-force
Application number
EP08104501A
Other languages
German (de)
English (en)
Other versions
EP2009610A2 (fr
EP2009610A3 (fr
Inventor
Thomas Sachse
Peter Vogel
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
Original Assignee
Siemens AG
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 Siemens AG filed Critical Siemens AG
Publication of EP2009610A2 publication Critical patent/EP2009610A2/fr
Publication of EP2009610A3 publication Critical patent/EP2009610A3/fr
Application granted granted Critical
Publication of EP2009610B1 publication Critical patent/EP2009610B1/fr
Not-in-force legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/015—Detecting movement of traffic to be counted or controlled with provision for distinguishing between two or more types of vehicles, e.g. between motor-cars and cycles

Definitions

  • the invention relates to a method for determining a traffic quantity related to a route of a road network according to the preamble of claim 1 and to an apparatus for carrying out the method.
  • the travel time required for a route and the source-destination relationship of a route are of interest, that is to say the number of vehicles passing the route during a measurement interval.
  • Both the analysis of the current traffic status and the prognosis of the future traffic conditions form the essential basis for being able to operate traffic management systems economically.
  • the effect of traffic information and traffic control systems depends strongly on the plausibility and the acceptance of the traffic information that is transmitted or displayed.
  • the individual users of traffic information systems require up-to-date and accurate information about the traffic condition, especially about the travel time, in order to better plan and carry out their intended journey.
  • route-related traffic variables are determined from so-called macroscopic data, that is, traffic data that is not available for individual vehicles but for a collective of any vehicles. These include cross-sectional measurements of detection units, which count vehicles in a given measuring interval and their speeds measure to determine traffic intensity and mean speed. However, the recorded traffic data are available locally for the specific location of the measurement cross section, from which distance-related traffic quantities must first be determined by extrapolation.
  • the determination of the traffic condition may also be based on so-called microscopic data, which are then valid only for individual vehicles, but are available for specific distances. Examples of such microscopic data are travel times on defined routes or individual journeys in the road network, also referred to here as source-destination relationships, which permit statements about routes through a road network.
  • Such microscopic traffic data are available for vehicles of sampling fleets, each equipped with a vehicle device.
  • vehicle devices typically have a device for the current determination of the position of a vehicle and a communication device for transmitting the current position and time to a detection center. For example, taxi fleets or vehicle fleets equipped with mobile phones are known here.
  • a traffic control system in which the traffic detection by cross-sectional measurements with stationary vehicle detectors, such as induction loops, but also by means of the floating car data technology, where in the latter a so-called cooperative vehicle autonomously in the flow of traffic co-floating between two nodes of the road network, the route information Travel time, average speed and acceleration as well as holding times and stop-and-go behavior are determined.
  • the floating car data is transmitted via wireless communication over a GSM network to a central computer for evaluation. Not only the vehicle, but also the person of the vehicle owner and / or the driver of the vehicle can be identified via the GSM connection.
  • Another way of detecting distance-related, microscopic traffic data is the video detection at various locations in the road network, from the video image data automatically recognizes the number plate of the vehicle and possibly also an image of the vehicle is obtained.
  • the invention is therefore based on the object of providing a method and a device for determining a traffic quantity related to a route of a road network of the type mentioned above, with which more accurate and reliable values for these traffic variables can be determined.
  • the object is achieved by a generic method for determining a related to a route of a road network traffic size, with the specified in the characterizing part of claim 1 method steps.
  • the vehicle when passing entrance and exit on trackside detection units, transmits a characteristic data record which has an identification data identifying the vehicle but anonymous.
  • the identity date can be stored in a vehicle-side device or generated in it, so that at entrances and entrances the detection of the passage time points associated with the transmission of the identity date.
  • the identity date is formed by a generated random number.
  • the identity date does not have to assume a permanently fixed numerical value coupled to the vehicle unit, but can if necessary be generated arbitrarily on the vehicle side.
  • there are no external intervention options in generating the random number which increases the anonymity of the identity date and the confidence in the data protection law integrity of the method according to the invention.
  • the random number is newly generated at the start of the journey of the vehicle.
  • the random number in the Vehicle device to be generated again, which makes the possibility of inference from the random number on the leader or holder of a vehicle even harder. This in turn improves the acceptance of the method according to the invention, whereby the threshold of use of a corresponding vehicle device is lowered.
  • the characteristic data record has at least one class datum which represents a vehicle class to which the vehicle is assigned.
  • class data are provided for the vehicle classes passenger cars, trucks, buses, dangerous goods transporters, special-purpose vehicles and vehicles of a specific manufacturer. This makes it possible to determine the traffic size separately for vehicle classes with different permissible maximum speeds on the reference path. Also, in this way, the driving behavior can be examined with vehicles of certain manufacturers.
  • the individual value of the traffic quantity to be determined may also be of interest for transport vehicles of dangerous goods and for emergency vehicles of police, fire or rescue services.
  • the identity date could be given for example by a fixed number or by a random number within a defined value range. On the one hand, this would ensure the anonymity of the time data collection, on the other hand, it would be possible to deduce from the identity date to which of these particular vehicle classes the individual vehicle is concerned.
  • a transmitted characteristic data set is supplemented by the time and location data of the vehicle passages assigned to the passing vehicle and transmitted as an acquisition data record to an evaluation center.
  • the individual value of the traffic quantity is calculated from transmitted acquisition data sets with respectively identical identity data. From the large number of acquisition data sets present in the evaluation center, those data records are then further processed by entry-and-exit registration units which have matching identity data, i. containing the time and location data of one and the same individual vehicle. From this it is now possible to calculate the individual value of the traffic quantity to be determined for each vehicle relative to the route under consideration.
  • the individual travel time for the route is calculated by subtraction of the time data. Without possibility to close to the driver or vehicle owner, in this way an individual vehicle can be tracked on its way through the road network by the time data are recorded at the respective ends of the routes in the evaluation center. On the basis of the location data transmitted by the registration units, it is also possible to use the electronic maps of the road network in the evaluation center to calculate the respective average average travel speed on the considered routes. The length of each route is stored as geographic information in the electronic map.
  • a microscopic travel time is calculated from the individual travel times of a predetermined time interval by averaging. Since, according to experience, the travel times depend on weekdays and times of day, the individual travel times are calculated for predetermined time intervals, the duration of which depends on the length of the reference route. The microscopic travel time of a route is then calculated by forming the average of all individual travel times recorded in the time interval.
  • the travel time to be determined is calculated by weighted addition of the microscopic travel time and a macroscopic travel time for the route, wherein the macroscopic travel time is calculated from speeds of a plurality of arbitrary vehicles measured during a time interval with which these pass at least one detection unit arranged along the route , If, for example, the microscopic travel time of a route is still too uncertain or too imprecise due to the insufficient number of available acquisition data sets, macroscopic travel time data are used for the calculation of the travel time to be determined for this route. For this purpose, along the considered route at least one detection unit is arranged, which measures the speed of passing vehicles during a certain time interval.
  • the same time interval is used for the calculation of the macroscopic travel time and the microscopic travel time. This ensures the comparability of macroscopic and microscopic travel time since the underlying data collected are from the same period of observation.
  • the macroscopic travel time is calculated by dividing the length of the route by an average speed on the route.
  • the length of the route under consideration is available in the evaluation center from an electronic map, the average speed on the route being calculated by averaging all the speeds measured in the period under consideration.
  • the average velocity is calculated by averaging the velocities measured during the time interval at detection units at the route entry and exit. Assuming that the speed of a vehicle on the reference line between entry and exit changes only linearly, this averaging results in a particularly good average speed value.
  • the weighting factors for the calculation of the travel time are normalized and depend on the standard deviation of the measured speeds.
  • the sum of the weighting factors for the microscopic and macroscopic travel time is therefore one.
  • the scatter of the measured individual velocities flows in around the mean value.
  • the weighting factor for macroscopic travel time decreases with increasing standard deviation. That is, the more the measured single velocities scatter around the mean velocity, the more the weight of the macroscopic travel time should be lower when calculating the travel time to be determined.
  • the weight for the macroscopic travel time increases.
  • the individual source-destination relationship for the route is calculated by summing up the vehicles passing the distance from their entrance to their exit during a measurement interval.
  • the source-destination relationship of a route thus indicates how many vehicles have traveled within the measurement interval from the entrance to the exit of the route.
  • This traffic quantity results in the evaluation center simply by adding up the vehicles, which have each transmitted a characteristic data set to the associated detection units within the measurement interval.
  • a source-destination source relationship for routes through which driveways enter the road network and exit from the road network through exits forms a microscopic source-destination matrix for the road network.
  • these source-destination relationships for the entrances and exits of an entire road network regardless of the route which an individual vehicle has chosen from the entrance to the road network to the exit from the road network under consideration.
  • microscopic source-destination matrices indicate numbers of vehicles actually driven between an entrance and exit of the road network.
  • the source-target matrix to be determined is now determined from the source-destination microscopic matrix and from the number of all vehicles passing detection units on road entry and exit during the measurement interval. From the vehicle counts at the entrances and exits of the road network, the total amount of vehicles entering and leaving the road network during the measurement interval is known.
  • the microscopic source-destination matrix for this road network only takes into account the part of individual vehicles identifiable by a vehicle device.
  • the vehicle numbers at the entrances or exits of the road network correspond to the row sums of the source-target matrix to be determined, the entries of the source-destination microscopic matrix being weights for the row and target Column sums are used.
  • One way to determine the source-target matrix from this is to extrapolate using the Furness matrix compensation method.
  • a road network S has a plurality of routes that may be formed by highways or inner city streets.
  • the roads are interconnected by junctions, in the area of entrances and exits Route lie.
  • a route s ij in the interior of the road network S has, for example, the entrance i, through which vehicles enter the route s ij , and an exit j, through which vehicles exit the route s ij .
  • a travel time can be determined with the aid of the method according to the invention - or, based on the known route length equivalent thereto, a travel speed.
  • the travel times on the routes s ij represent the prevailing traffic condition and provide a basis for route planning within the road network S.
  • Source-destination relationship determined as traffic volume of interest. This is the number of vehicles that have traveled from grid entry k to grid exit 1 within a specified measuring interval.
  • the source-destination relationships of all entrances k and exits 1 of a road network S are represented in the form of a source-destination matrix, which is also an image of the traffic condition and an important basis for traffic control and traffic planning.
  • a device for determining a traffic quantity related to a distance s ij of a road network S, which traffic volume is determined according to FIG FIG. 2 a detection unit E j at the exit j of the route s ij as well as - not in FIG. 2 shown - a corresponding detection unit at the entrance i the route s ij has.
  • An identification data record K is transmitted to each detection unit E j by a passing vehicle F id , which is carried by a vehicle device G according to the invention.
  • the identifier record K has an identity date f id and a class data f cl of the vehicle F id , where the identity date f id identifies the individual vehicle F id , while the class data f cl identifies the membership of the individual vehicle F id to a vehicle class, for example passenger cars, Are defined. Additionally, in the identifier record K, the current speed of the individual vehicle F id be transmitted.
  • the identity date f id is generated in the vehicle unit G by means of a random generator at the start of the journey, for example, when the engine ignition, in the form of a random number, while class data f cl are fixed.
  • An individual vehicle F id may, for example, simultaneously belong to the vehicle categories "passenger cars" and "vehicles of a specific manufacturer”.
  • the vehicle device G and the detection unit E j are equipped with corresponding communication means for wireless data transmission, for example via shortwave radio or GPRS, and suitable data processing means.
  • a characteristic data set K may have 64 bits, with the first 17 bits (Nos. 0 to 16) including the class data f cl and the next 46 bits (Nos. 17 to 62) the identity data f id and the last bit (Nos 63) indicates whether the identity date f id is a random number or a random number from a certain value range or else a fixed number.
  • the received characteristic data set K is then supplemented by a time datum t j , which represents the time of vehicle passage, and a location datum p j , which represents the location of the vehicle passage, and transmitted as acquisition dataset E to an evaluation center Z. From all transmitted acquisition data sets E with matching identity data f id , microscopic values of route-related traffic variables for the road network S can now be calculated.
  • these route-related traffic variables can be calculated separately for different vehicle classes, such as passenger cars, trucks, buses, hazardous goods transporters, special-purpose vehicles or vehicles of a specific manufacturer. Travel times, Mean speeds and source-destination matrices are determined for the different vehicle classes from the microscopic data of individual vehicles F id , which belong to the respective vehicle class. For example, different permissible maximum speeds apply to different vehicle classes. Likewise, the driving behavior with vehicles from different manufacturers can be examined. The individual value of the traffic quantity to be determined may also be of interest for transport vehicles of dangerous goods and for emergency vehicles of police, fire or rescue services.
  • the detection unit D i is designed as a passive infrared sensor, but can also be formed by an induction loop.
  • the measured velocities v i are transmitted by the detection unit D i together with the measurement time t i to the evaluation center Z - either via existing lines or wirelessly.
  • the acquisition data records E are now received via a receiving device and the searched traffic quantities are calculated from the transmitted time-speed information with the aid of suitable data processing means.
  • the detection units E j to which the individual vehicles F id transmit their characteristic data sets K be arranged at an entrance i or exit j of the route s ij that no alternative routes between entry and exit are possible.
  • the weight to g for the macroscopic travel time t ij decrease with increasing standard deviation ⁇ ij. This is based on the fact that the influence of the macroscopically determined travel time t ij with increasing scattering of the measured velocities v i l . v j m should decrease. Conversely, the weight g increases when the traffic conditions on the route s ij calm down, which is expressed by a small value for the standard deviation ⁇ ij .
  • q i means the number L of vehicles F id per duration of the time interval during which the speeds v i l were measured; Accordingly, q j represents the traffic intensity at the route exit j.
  • the same time interval can be taken with sufficient accuracy for the determination of the macroscopic travel time t ij .
  • the macroscopic travel time t ij on the route s ij should be taken into account.
  • the travel time t ij for the route s ij can be determined separately for different vehicle classes , for example for passenger cars and trucks, by taking into account in each case only time or speed data of the corresponding vehicle classes. In this way, a vehicle belonging to a certain vehicle class can later be notified of exactly the travel time valid for this vehicle class.
  • These traffic variables can also be merged with corresponding macroscopically determined speeds in order to arrive at a mean speed for the route s ij .
  • source-target relationships can be determined according to the invention. This is understood to mean the number of vehicles that travel during a time interval from the entrance i to the exit j of the route s ij .
  • route network S off FIG. 1 There are routes s kl of interest, their entrance k and exit 1 lie on the edge of the road network S.
  • the source-destination relationship m kl then indicates how many individual vehicles F id have entered the road network S through the entrance k during the time interval and are exited therefrom by the exit 1.
  • the vehicles traveling within a time interval through an entrance k or exit 1 of the road network S can also be determined macroscopically as counts of detection units D k and D 1 arranged at the entrances and exits i and j, respectively.
  • These microscopically and macroscopically determined data can also be fused in order to determine the source-destination relationships m kl for the considered road network S in the given time interval.
  • These are calculated by recalculation from the macroscopic vehicle sums, using the microscopically determined source-destination relationships m kl as weights in the sums.
  • the source-destination matrix of the road network S whose entries the source-destination relationships m kl of all entrances and exits k and 1 of the road network S form.
  • the route-related or road-network-related traffic variables determined according to the invention can be used, for example, in the control of traffic control and alternate route systems in order to determine the current traffic state, disruptions in the traffic flow and the influencing potential or compliance level of influencing measures.
  • the determined traffic variables are also used, for example for the individual Route planning and navigation. Travel matrices, ie source-destination matrices of a road network, are however applicable to traffic planning.

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Traffic Control Systems (AREA)
  • Navigation (AREA)

Claims (12)

  1. Procédé de détermination d'une quantité de trafic se rapportant à une voie ( sij ) d'un réseau ( S ) routier, dans lequel on relève de manière anonyme des instants ( tj ) associés à un véhicule ( Fid ) individuel, auxquels le véhicule ( Fid ) passe à une entrée ( i ) dans la section ( sij ), puis à une sortie ( j ) de la section ( sij ) et dans lequel on détermine une valeur individuelle de la quantité de trafic à partir des instants (tj) relevés,
    caractérisé
    - en ce que l'on transmet par le véhicule ( Fid ), lors du passage à l'entrée et à la sortie ( i, j ), à des unités ( Ej ) de relevé du côté de la section, un jeu ( K ) de données caractéristiques, qui a une donnée ( fid ) d'identité identifiant le véhicule ( Fid ) mais anonyme,
    - en ce que dans une unité ( Ej ) de relevé, on complète un jeu ( K ) de données caractéristiques transmis par les données de temps ( tj ) et de lieu ( pj ) des passages du véhicule ( Fid ) passant et on les transmet comme jeu ( E ) de données relevées à une centrale ( Z ) d'exploitation,
    - en ce que, à partir des jeux ( E ) de données de relevé ayant respectivement des données (fid) d'identité qui coïncident, on calcule la valeur individuelle de la quantité de trafic,
    - et en ce que l'on détermine comme quantité de trafic un temps de voyage ou une relation origine-destination,
    dans lequel pour la détermination du temps de voyage
    - on calcule le temps de voyage individuel pour la section ( sij ) par formation de différence entre les données ( tj ) de temps,
    - à partir des temps de voyage individuels d'un intervalle de temps prescrit, on calcule en faisant la moyenne un temps de voyage microscopique,
    - et on calcule le temps de voyage à déterminer par addition pondérée du temps de voyage microscopique et d'un temps de voyage macroscopique pour la section ( sij ), le temps de voyage macroscopique étant calculé à partir de vitesses ( v ) mesurées pendant un intervalle de temps d'une pluralité de véhicules ( F ) quelconques, qui sont passés à au moins une unité ( Di ) de relevé disposée le long de la voie ( sij ),
    et dans lequel pour la détermination d'une relation origine-destination
    - on calcule la relation origine-destination individuelle pour la section ( sij ) en faisant la somme des véhicules ( Fid ), qui parcourent, pendant un intervalle de mesure, la section (sij) de son entrée ( i ) à sa sortie ( j ),
    - à partir des relations origine-destination pour des sections ( skl ) par les entrées ( k ) desquelles des véhicules ( Fid ) entrent dans le réseau ( S ) routier et par les sorties ( 1 ) desquelles ils ressortent du réseau ( S ) routier, on forme une matrice origine-destination microscopique pour le réseau ( S ) routier,
    - et on calcule la matrice origine-destination à déterminer à partir de la matrice origine-destination microscopique et à partir du nombre de l'ensemble des véhicules ( F ) qui, pendant l'intervalle de mesure, sont passés à des unités de relevé aux entrées ( k ) et aux sorties ( l ) du réseau routier.
  2. Procédé suivant la revendication 1,
    dans lequel on forme la donnée ( fid ) d'identité par la production d'un nombre aléatoire.
  3. Procédé suivant la revendication 2,
    dans lequel on produit le nombre aléatoire respectivement au début du trajet du véhicule ( Fid ).
  4. Procédé suivant l'une des revendications 1 à 3,
    dans lequel le jeu ( K ) de données caractéristiques a au moins une donnée ( fcl ) de classe qui représente une classe de véhicule affectée au véhicule ( Fid ).
  5. Procédé suivant la revendication 4,
    dans lequel il est prévu des données ( fcl ) de classe pour les classes de véhicule ( Fid ) voitures de tourisme, camions, bus, véhicules de transport de produit dangereux, véhicules à usage particulier et véhicule d'un fabricant donné.
  6. Procédé suivant l'une des revendications 1 à 5,
    dans lequel, pour le calcul du temps de voyage macroscopique et du temps de voyage microscopique, on a recours au même intervalle de temps.
  7. Procédé suivant l'une des revendications 1 à 6,
    dans lequel on calcule le temps de voyage macroscopique en divisant la longueur de la section ( sij ) par une vitesse moyenne sur la section ( sij ).
  8. Procédé suivant la revendication 7,
    dans lequel on calcule la vitesse moyenne en faisant la moyenne des vitesses ( v ) mesurées pendant l'intervalle de temps sur des unités ( Di ) de relevé à l'entrée et à la sortie ( i, j ) de la section.
  9. Procédé suivant l'une des revendications 1 à 8,
    dans lequel on norme les facteurs de pondération pour le calcul de la durée de voyage et on les fait dépendre de l'écart-type des vitesses ( v ) mesurées.
  10. Procédé suivant la revendication 9,
    dans lequel le facteur de pondération du temps de voyage macroscopique diminue au fur et à mesure que l'écart-type augmente.
  11. Procédé suivant l'une des revendications 1 à 10,
    dans lequel les nombres de véhicule aux entrées ( k ) ou aux sorties ( l ) du réseau ( S ) routier correspondent aux sommes de lignes ou aux sommes de colonnes de la matrice origine-destination à déterminer et dans lequel on utilise les entrées de la matrice origine-destination microscopique comme pondération pour les sommes de lignes et les sommes de colonnes.
  12. Dispositif pour la mise en oeuvre d'un procédé suivant l'une des revendications 1 à 11.
EP08104501A 2007-06-26 2008-06-23 Procédé et dispositif destinés à déterminer une quantité de trafic relative à une voie d'un réseau routier Not-in-force EP2009610B1 (fr)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
DE102007029350 2007-06-26

Publications (3)

Publication Number Publication Date
EP2009610A2 EP2009610A2 (fr) 2008-12-31
EP2009610A3 EP2009610A3 (fr) 2009-01-14
EP2009610B1 true EP2009610B1 (fr) 2010-07-28

Family

ID=39683783

Family Applications (1)

Application Number Title Priority Date Filing Date
EP08104501A Not-in-force EP2009610B1 (fr) 2007-06-26 2008-06-23 Procédé et dispositif destinés à déterminer une quantité de trafic relative à une voie d'un réseau routier

Country Status (3)

Country Link
EP (1) EP2009610B1 (fr)
AT (1) ATE475958T1 (fr)
DE (1) DE502008001012D1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105719489A (zh) * 2016-03-24 2016-06-29 银江股份有限公司 一种基于卡口车辆流向概率的套牌车检测方法

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102009006829A1 (de) * 2009-01-30 2010-08-05 Siemens Aktiengesellschaft Verfahren und System zur Ermittlung von Verkehrsinformation
DE102009010812A1 (de) * 2009-02-27 2010-09-02 Siemens Aktiengesellschaft Verfahren und Vorrichtung zur Störfallerkennung auf einer Straßenstrecke
DE102009010806A1 (de) * 2009-02-27 2010-09-02 Siemens Aktiengesellschaft Verfahren und Vorrichtung zur Störfallerkennung auf einer Straßenstrecke
EP2290633B1 (fr) 2009-08-31 2015-11-04 Accenture Global Services Limited Procédé informatique pour assurer la vie privée d'un utilisateur, produit de programme informatique, dispositif
DE102010018815A1 (de) 2010-04-29 2011-11-03 Deutsches Zentrum für Luft- und Raumfahrt e.V. Verfahren und Vorrichtung zur Generierung von Verkehrsinformationen
US9445391B2 (en) 2012-09-21 2016-09-13 Telefonaktiebolaget L M. Ericsson Automatic detection of device type for filtering of data
DE202013002107U1 (de) * 2013-03-06 2013-06-19 Amv Networks Gmbh AMV - System
LU92575B1 (en) * 2013-10-16 2016-05-20 Université Du Luxembourg Traffic control
US9880017B2 (en) 2014-04-18 2018-01-30 Here Global B.V. Method and apparatus for creating an origin-destination matrix from probe trajectory data
CN108417042A (zh) * 2017-09-18 2018-08-17 西安金路交通工程科技发展有限责任公司 基于车辆图像的客车和货车分类方法

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR920022001A (ko) * 1991-05-27 1992-12-19 프레데릭 얀 스미트 교통 정보 수집 방법 및 이 방법을 수행하기 위한 시스템
US6804602B2 (en) * 2002-04-02 2004-10-12 Lockheed Martin Corporation Incident-aware vehicular sensors for intelligent transportation systems
DE102004002808B4 (de) 2003-03-07 2015-08-20 Deutsche Telekom Ag Verkehrssteuerungssystem
US8015404B2 (en) * 2005-09-16 2011-09-06 Gm Global Technology Operations, Llc System and method for collecting traffic data using probe vehicles

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105719489A (zh) * 2016-03-24 2016-06-29 银江股份有限公司 一种基于卡口车辆流向概率的套牌车检测方法

Also Published As

Publication number Publication date
DE502008001012D1 (de) 2010-09-09
EP2009610A2 (fr) 2008-12-31
EP2009610A3 (fr) 2009-01-14
ATE475958T1 (de) 2010-08-15

Similar Documents

Publication Publication Date Title
EP2009610B1 (fr) Procédé et dispositif destinés à déterminer une quantité de trafic relative à une voie d'un réseau routier
EP0879460B1 (fr) Procede et dispositif pour l'obtention de donnees relatives a une situation de trafic
WO2013159853A1 (fr) Procédé de détermination d'une valeur attendue de consommation d'un véhicule automobile
DE19755875A1 (de) Verfahren zur Übertragung von Ortsdaten und Meßdaten von einem Endgerät, insbesondere Telematikendgerät an eine Verkehrszentrale
EP2624231A1 (fr) Dispositifs et procédé de contrôle d'un système de péage routier
DE102018118934A1 (de) Steuereinrichtung für digitale Beschilderung, Steuerverfahren für digitale Beschilderung und Aufzeichnungsmedium
EP3695233A1 (fr) Procédé et système permettant de déterminer des vitesses de vent effectives pour des véhicules à moteur
EP2447924B1 (fr) Système d'établissement de la situation de trafic sur une voie de circulation
DE102015008968A1 (de) Verfahren zur Auswertung von Fahrzeugdaten
EP3446302B1 (fr) Procédé, dispositif et agencement de poursuite d'objets en mouvement
EP1696208B1 (fr) Procédé de détection de la position de véhicules et système de détection de véhicules dans une zone géographique
EP1736932B1 (fr) Procédé et dispositif destinés à la détermination d'une trajectoire parcourue par un véhicule
EP3391356A1 (fr) Procédé de détection de mauvais stationnement
DE102012222810A1 (de) Parkraumregistrierungs- und -bewirtschaftungssystem sowie Verfahren
DE10258470B4 (de) Navigationseinrichtung für Kraftfahrzeuge
DE102017215564A1 (de) Verfahren und System zum Ermitteln einer Trajektorie zu einem optimalen Umstiegsort mindestens einer Person und zum Befahren der ermittelten Trajektorie durch mindestens ein Personentransportfahrzeug
EP2811466A2 (fr) Procédé et dispositifs de détection des erreurs dans un système de péage
DE102019216337A1 (de) Verfahren zur Entrichtung einer Gebühr für die Nutzung eines mautpflichtigen Straßennetzes durch ein Fahrzeug sowie Mautsystem zur Durchführung des Verfahrens
DE102021134170A1 (de) Verfahren und Vorrichtung zum Bereitstellen von zumindest einem Emissionswert eines Verkehrsmittels
WO2007073748A1 (fr) Systeme et procede de determination des redevances d'utilisation de voies et/ou de zones a peage
EP2665044B1 (fr) Procédé de mesure de la capacité de puissance d'un système de péage routier
DE10203891A1 (de) Verkehrsinformationssystem und Anzeigeelement für Verkehrsinformationen
EP2983151A2 (fr) Concept de reconnaissance d'une marche a contre-sens
DE102008024781A1 (de) Technik zur Reisezeitprognose
EP1935749A2 (fr) Procédé et système de localisation d'un véhicule sur rail

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

PUAL Search report despatched

Free format text: ORIGINAL CODE: 0009013

AK Designated contracting states

Kind code of ref document: A2

Designated state(s): AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MT NL NO PL PT RO SE SI SK TR

AX Request for extension of the european patent

Extension state: AL BA MK RS

AK Designated contracting states

Kind code of ref document: A3

Designated state(s): AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MT NL NO PL PT RO SE SI SK TR

AX Request for extension of the european patent

Extension state: AL BA MK RS

RIC1 Information provided on ipc code assigned before grant

Ipc: G08G 1/017 20060101ALN20081208BHEP

Ipc: G08G 1/015 20060101ALN20081208BHEP

Ipc: G08G 1/01 20060101AFI20080819BHEP

17P Request for examination filed

Effective date: 20090721

AKX Designation fees paid

Designated state(s): AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MT NL NO PL PT RO SE SI SK TR

17Q First examination report despatched

Effective date: 20090819

GRAP Despatch of communication of intention to grant a patent

Free format text: ORIGINAL CODE: EPIDOSNIGR1

RTI1 Title (correction)

Free format text: METHOD AND DEVICE FOR DETERMINING A TRAFFIC QUANTITY RELATING TO A SECTION OF A STREET NETWORK

GRAS Grant fee paid

Free format text: ORIGINAL CODE: EPIDOSNIGR3

GRAA (expected) grant

Free format text: ORIGINAL CODE: 0009210

AK Designated contracting states

Kind code of ref document: B1

Designated state(s): AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MT NL NO PL PT RO SE SI SK TR

REG Reference to a national code

Ref country code: GB

Ref legal event code: FG4D

Free format text: NOT ENGLISH

REG Reference to a national code

Ref country code: CH

Ref legal event code: NV

Representative=s name: SIEMENS SCHWEIZ AG

Ref country code: CH

Ref legal event code: EP

REG Reference to a national code

Ref country code: IE

Ref legal event code: FG4D

Free format text: LANGUAGE OF EP DOCUMENT: GERMAN

REF Corresponds to:

Ref document number: 502008001012

Country of ref document: DE

Date of ref document: 20100909

Kind code of ref document: P

REG Reference to a national code

Ref country code: NL

Ref legal event code: T3

LTIE Lt: invalidation of european patent or patent extension

Effective date: 20100728

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: LT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20100728

Ref country code: NO

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20101028

Ref country code: FI

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20100728

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: IS

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20101128

Ref country code: BG

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20101028

Ref country code: CY

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20100728

Ref country code: HR

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20100728

Ref country code: PL

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20100728

Ref country code: SI

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20100728

REG Reference to a national code

Ref country code: IE

Ref legal event code: FD4D

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: SE

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20100728

Ref country code: LV

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20100728

Ref country code: GR

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20101029

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: IE

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20100728

Ref country code: DK

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20100728

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: CZ

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20100728

Ref country code: SK

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20100728

Ref country code: RO

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20100728

Ref country code: EE

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20100728

PLBE No opposition filed within time limit

Free format text: ORIGINAL CODE: 0009261

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: NO OPPOSITION FILED WITHIN TIME LIMIT

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: ES

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20101108

26N No opposition filed

Effective date: 20110429

REG Reference to a national code

Ref country code: DE

Ref legal event code: R097

Ref document number: 502008001012

Country of ref document: DE

Effective date: 20110429

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: MT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20100728

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: IT

Payment date: 20110630

Year of fee payment: 4

BERE Be: lapsed

Owner name: SIEMENS A.G.

Effective date: 20110630

REG Reference to a national code

Ref country code: FR

Ref legal event code: ST

Effective date: 20120229

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: BE

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20110630

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: FR

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20110630

GBPC Gb: european patent ceased through non-payment of renewal fee

Effective date: 20120623

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: IT

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20120623

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: MC

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20110630

Ref country code: GB

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20120623

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: LU

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20110623

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: TR

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20100728

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: HU

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20100728

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: PT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20100728

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: AT

Payment date: 20140509

Year of fee payment: 7

Ref country code: NL

Payment date: 20140603

Year of fee payment: 7

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: DE

Payment date: 20140819

Year of fee payment: 7

Ref country code: CH

Payment date: 20140904

Year of fee payment: 7

REG Reference to a national code

Ref country code: DE

Ref legal event code: R119

Ref document number: 502008001012

Country of ref document: DE

REG Reference to a national code

Ref country code: CH

Ref legal event code: PL

REG Reference to a national code

Ref country code: AT

Ref legal event code: MM01

Ref document number: 475958

Country of ref document: AT

Kind code of ref document: T

Effective date: 20150623

REG Reference to a national code

Ref country code: NL

Ref legal event code: MM

Effective date: 20150701

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: NL

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20150701

Ref country code: LI

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20150630

Ref country code: DE

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20160101

Ref country code: CH

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20150630

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: AT

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20150623