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EP0789341B1 - Détection de bouchon de circulation embarquée dans le véhicule - Google Patents

Détection de bouchon de circulation embarquée dans le véhicule Download PDF

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Publication number
EP0789341B1
EP0789341B1 EP97250017A EP97250017A EP0789341B1 EP 0789341 B1 EP0789341 B1 EP 0789341B1 EP 97250017 A EP97250017 A EP 97250017A EP 97250017 A EP97250017 A EP 97250017A EP 0789341 B1 EP0789341 B1 EP 0789341B1
Authority
EP
European Patent Office
Prior art keywords
traffic
vehicle
speed
unit
classes
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.)
Expired - Lifetime
Application number
EP97250017A
Other languages
German (de)
English (en)
Other versions
EP0789341A1 (fr
Inventor
Stefan Vieweg
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.)
Vodafone GmbH
Original Assignee
Mannesmann 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 Mannesmann AG filed Critical Mannesmann AG
Publication of EP0789341A1 publication Critical patent/EP0789341A1/fr
Application granted granted Critical
Publication of EP0789341B1 publication Critical patent/EP0789341B1/fr
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

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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
    • G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
    • 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
    • G08G1/0125—Traffic data processing
    • G08G1/0133—Traffic data processing for classifying traffic situation
    • 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
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0141—Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
    • 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
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control

Definitions

  • the invention relates to a method for the automatic vehicle-autonomous detection of Traffic jam and a device for performing this method. It is about So the automatic determination of a measure to assess the traffic-dependent Road trafficability.
  • WO 95/14292 describes a system for displaying the traffic flow on selected ones Known distances, whereby in a calibration phase mean and variance for a certain route can be determined. Determined during the measuring operation Sample vehicle then its own actual speed average and variance. At Deviations from the reference values are reported to the control center.
  • DE 43 21 437 A1 describes a method for automatic autonomous detection known from traffic information, i.e. Travel information entered in the vehicle with traffic information recorded via radio and with an on-board Traffic database processed.
  • the recording and description of the traffic situation is an essential task in the area the traffic telematics, which has the goal to avoid situations with traffic congestion if possible equalize and avoid by appropriate forward redirection of Road users on less congested roads. It is known for this purpose Stationary detection devices installed on the street (e.g. beacons, induction loops or similar) to use. This is not just a very high cost of creation and maintenance connected to the required infrastructure, but also has the disadvantage that this Depending on the system, only one facility is extremely locally limited Show area of application. For a comprehensive traffic situation recording is therefore the Installation of a huge number of detection devices necessary.
  • Stationary detection devices installed on the street (e.g. beacons, induction loops or similar) to use. This is not just a very high cost of creation and maintenance connected to the required infrastructure, but also has the disadvantage that this Depending on the system, only one facility is extremely locally limited Show area of application. For a comprehensive traffic situation recording is therefore the Installation of a huge number of detection devices necessary.
  • a problem with the "floating probes" is that the continuous transmission of the current speed of a large number of vehicles is an extremely heavy burden on the transmission channels of the communication device and, moreover, constitutes a significant cost factor when using a fee-based communication system. This is to be seen against the background that mainly information is transmitted which in reality does not provide any real new knowledge. It would therefore be useful if the transmission of information could at least be largely restricted to periods of time in which critical traffic situations are forming, have already started or are disappearing. One should therefore be able to determine the time periods in which interesting changes in road traffic appear. This could, as has also already become known, be made possible by the fact that the relevant traffic situation information is given by people in the "floating probes" (so-called congestion detectors) as required.
  • the object of the invention is therefore to provide a method and an apparatus for the same Implementation to indicate that an automatic, i.e. person-independent Autonomous detection of traffic congestion enables, so that depending of which there is a targeted transmission of really important traffic information can.
  • the invention provides that the speed of a vehicle
  • the sample vehicle fleet is continuously recorded and sent to an internal vehicle Classifier is given.
  • This classifier has access to Speed classes stored in a storage device for default values are preferably stored depending on the type of road.
  • the default values can be fixed values or stored as dynamically variable quantities. For example could be the default when turning on each device and the following Initialization done.
  • the possibility of setting the default values of is particularly advantageous change from a central office as required (e.g. using mobile radio).
  • the classifier arranges the recorded value of the current one Speed of one of these speed classes.
  • this assignment to speed classes which are determined by predetermined limit values are set.
  • At least three are expediently Speed classes provided. It should also set the limits the speed classes depend on the type of road. While for example, for urban streets a multiple division in the lower Speed range makes sense, should also be the case for motorways middle and upper speed range are considered as a separate class. In this way it is possible, for example, slow driving and standing phases, distinguishable from one due to high traffic Similar (normal) driving behavior in front of a red traffic light.
  • the next step is to include the speed classes Class assignment in a temporal integration process.
  • the result of this Integration process of the sequence of individual classified vehicle speeds is used to form a continuous measure of the event "traffic jam" (traffic jam measure) a limited scale, especially a probability scale.
  • the functional block example shown in FIG. 2 for a device for implementation of the inventive method has the speed detection device 1, whose data output is connected to a classification device 2, in which the continuously measured instantaneous vehicle speeds Speed class can be assigned.
  • the classifying device 2 can preferably include a speed class as Non-volatile memory designed storage device 4 for Take speed classes.
  • the data output of the classification device 2 is connected to the data input of an integration device 3.
  • the result of Integration arrives in an evaluation device 5, which is used for the respective one Traffic situation in the area of the vehicle concerned Sample vehicle fleet provides representative stowage dimensions, preferably in the form a probability value for the existence of the "traffic jam" event. With completely The value 0% is therefore delivered free travel.
  • this storage dimension enables the device according to the invention, automatically without any manual Help to recognize critical or critical traffic situations and to recognize them on their own e.g. to activate a communication device 6, by means of which a situation-related transmission of important traffic situation information to a appropriate collection point can take place. As soon as a situation arises in which one no further information transmission via the communication device 6 the communication device can provide essential new knowledge be deactivated again. This can be the case, for example, if there is a Vehicle stays in a traffic jam for a long time, so the storage dimension practically does not change changed. However, it can be of particular interest to recognize the point in time when this vehicle leaves the storage area.
  • the classifying device 2 the Storage device 4, the integration device 3 and the evaluation device 5 are designed in the form of an in-vehicle electronic computing system.
  • the integration device 3 and the evaluation device 5 are designed in the form of an in-vehicle electronic computing system.
  • the Device according to the invention with a (not shown) Positioning device (e.g. based on navigation satellites) be equipped.
  • the method according to the invention enables a very simple way automatic decentralized, i.e. Autonomous determination of a representative Measure for the "traffic jam" situation with any refinements if necessary Intermediate levels up to the situation "free travel".
  • the necessary In-vehicle device is very simple and inexpensive from standard components producible.
  • the invention enables the scope to be meaningful Traffic situation detection required communication needs at a To limit the sample vehicle fleet to a minimum, as a Autonomous automatic detection of situations in which Traffic situation information should be transmitted to a data collection point with sufficient reliability is possible.

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

Claims (7)

  1. Procédé pour la détection automatique, à bord d'un véhicule, d'un embouteillage, dans lequel :
    la vitesse du véhicule est détectée de façon continue dans le véhicule,
    les valeurs détectées de vitesse sont associées à des classes prédéfinies de vitesse,
    les classes associées de vitesse forment la grandeur d'entrée d'un processus d'intégration temporel, et
    le résultat de ce processus d'intégration est représenté pour former une mesure d'embouteillage sur une échelle limitée, en particulier une échelle de probabilité.
  2. Procédé selon la revendication 1,
    caractérisé en ce que l'association aux classes de vitesse est effectuée par l'intermédiaire d'une logique floue.
  3. Procédé selon une des revendications 1 à 2,
    caractérisé en ce qu'au moins trois classes de vitesse sont prédéfinies.
  4. Procédé selon une des revendications 1 à 3,
    caractérisé en ce que les classes de vitesse présentent différentes limites pour différents types de routes.
  5. Dispositif pour la mise en oeuvre du procédé selon la revendication 1, comportant un dispositif pour détecter la vitesse du véhicule (1),
    caractérisé en ce que :
    un dispositif de mémoire (4) pour prédéfinir des classes de vitesse est prévu,
    un dispositif de classification (2) est prévu, grâce auquel les vitesses détectées du véhicule sont à chaque fois associées aux classes de vitesse mémorisées,
    la sortie du dispositif de classification (2) est reliée à l'entrée d'un dispositif d'intégration (3), et
    un dispositif d'évaluation (5) est prévu, dont l'entrée est reliée à la sortie du dispositif d'intégration (3) et dont la sortie délivre la mesure d'embouteillage pour la reconnaissance d'un embouteillage.
  6. Dispositif selon la revendication 5,
    caractérisé en ce que le dispositif de mémoire (4), le dispositif de classification (2), le dispositif d'intégration (3), et le dispositif d'évaluation (5) font partie d'un système de calcul électronique agencé dans le véhicule.
  7. Dispositif selon une des revendications 5 à 6,
    caractérisé en ce que, par le dispositif d'évaluation (5), un dispositif de communication (6) agencé dans le véhicule peut être activé et désactivé de façon dépendant de la modification de la mesure d'embouteillage.
EP97250017A 1996-02-06 1997-01-29 Détection de bouchon de circulation embarquée dans le véhicule Expired - Lifetime EP0789341B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE19606258A DE19606258C1 (de) 1996-02-06 1996-02-06 Fahrzeugautonome Detektion von Verkehrsstau
DE19606258 1996-02-06

Publications (2)

Publication Number Publication Date
EP0789341A1 EP0789341A1 (fr) 1997-08-13
EP0789341B1 true EP0789341B1 (fr) 2001-05-09

Family

ID=7785891

Family Applications (1)

Application Number Title Priority Date Filing Date
EP97250017A Expired - Lifetime EP0789341B1 (fr) 1996-02-06 1997-01-29 Détection de bouchon de circulation embarquée dans le véhicule

Country Status (4)

Country Link
US (1) US6131064A (fr)
EP (1) EP0789341B1 (fr)
AT (1) ATE201109T1 (fr)
DE (2) DE19606258C1 (fr)

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CN105321347A (zh) * 2015-09-18 2016-02-10 西安电子科技大学 一种分层次的路网交通拥堵评价方法

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Also Published As

Publication number Publication date
US6131064A (en) 2000-10-10
DE59703486D1 (de) 2001-06-13
ATE201109T1 (de) 2001-05-15
DE19606258C1 (de) 1997-04-30
EP0789341A1 (fr) 1997-08-13

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