EP2047447B1 - Procédé et dispositif pour la fusion de données sur la circulation routière en cas d'informations incomplètes - Google Patents

Procédé et dispositif pour la fusion de données sur la circulation routière en cas d'informations incomplètes Download PDF

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Publication number
EP2047447B1
EP2047447B1 EP06846957A EP06846957A EP2047447B1 EP 2047447 B1 EP2047447 B1 EP 2047447B1 EP 06846957 A EP06846957 A EP 06846957A EP 06846957 A EP06846957 A EP 06846957A EP 2047447 B1 EP2047447 B1 EP 2047447B1
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Prior art keywords
traffic
data
disturbance
traffic situation
reported
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EP06846957A
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German (de)
English (en)
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EP2047447A1 (fr
Inventor
Ulrich Fastenrath
Markus Becker
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Deutsche Telekom AG
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Deutsche Telekom AG
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions

Definitions

  • the invention relates to a method and apparatus for merging traffic data with incomplete information, taking into account information from different sources mapped to functions to obtain a result based on calculations with these functions.
  • the object of the present invention is to overcome the aforementioned disadvantages of the prior art.
  • it is a method for local determination of traffic situation data, taking into account a plurality of traffic reports with fuzzy location information, which are to be merged as best as possible. It includes the following steps.
  • the present invention report deals with an optimal solution of the data fusion problem with incomplete information.
  • the weighting factors gx can be determined on the basis of a priori knowledge of the quality of a source. For example, disturbances reported by the police as locally blurred are generally credible and attempts should be made to confirm them; however, police reports are usually not timely deregistered. Further criteria for the gx are the (origin) position of disturbances (disturbances arise at bottlenecks, therefore they are preferably positioned as far downstream as possible) and quality requirements for the end product (eg correctness could be more important than completeness, then the confirmation gb would be strong too) weight). By statistically evaluating the distribution among the categories "affirmation,”"ignorance,” and "refutation,” the assumptions made to set the weights may be reviewed and an adjustment may be made.
  • the km i indicate the locations of the connection points.
  • L the length of the possible error.
  • fusion with the local numerical traffic data is performed as follows. Wherever the sharply localized message competes with non-knowledge from the traffic assessment, the relevant share of the message is adopted as the end product. In all other places, the numerical traffic situation data is preferred.
  • the Fig. 2 and Fig. 3 shows a traffic disruption that occurred on 10.01.2005 due to an accident on the A555 from Cologne to Bonn shortly after the junction Bornheim / Alfter (- km 16). From direct observation it was known that the traffic congestion was in the area km 13 - 17. There is no stationary measurement infrastructure in this area.

Claims (6)

  1. Procédé de fusion d'informations de trafic de localisation imprécise avec des informations de trafic de localisation précise comprenant les étapes suivantes :
    - prise en considération de positions possibles des informations de trafic de localisation imprécise;
    - évaluation de ces positions à l'aide des fonctions suivantes ;
    dans lequel, lors de l'évaluation de chaque position x à l'intérieur du domaine de valeurs autorisé, une fonction b(x) indiquant la part de la perturbation signalée qui est confirmée par les données de trafic est déterminée , et
    dans lequel une fonction n(x) indiquant la part de la perturbation signalée qui ne peut pas être infirmée par des données de trafic existantes est déterminée pour chaque position x possible à l'intérieur du domaine de valeurs autorisé,
    et
    dans lequel une fonction w(x) indiquant la part de la perturbation signalée qui peut être infirmée par des données de trafic existantes, est déterminée pour chaque position x possible à l'intérieur du domaine de valeurs autorisé,
    la relation b x + w x + n x = 1
    Figure imgb0015

    s'appliquant à l'ensemble des x,
    - définition de positions précises optimales pour les informations de trafic de localisation imprécise en résolvant un problème de valeurs extrêmes sur la base des fonctions.
  2. Procédé selon la revendication précédente, dans lequel une pondération des trois critères peut s'effecteur dans le cadre de l'évaluation et résumée en le problème de valeurs extrêmes suivant : x 1 x 2 : f apo > f apo x f apo = f apo x > x ,
    Figure imgb0016
    f apo x = g b b x + g n n x + g w w x ,
    Figure imgb0017
    x 1 = min km 1 , km 3 - L ,
    Figure imgb0018
    x 2 = min km 1 + L , km 3 .
    Figure imgb0019
    gb étant le poids du critère "confirmation" ;
    gn étant le poids du critère "comblement de lacunes" ;
    gw étant le poids du critère "infirmation" ;
    b(x) étant la part de la perturbation signalée qui est confirmée par des données de trafic pour une position x supposée ; ,
    w(x) étant la part de la perturbation signalée qui est infirmée par des données de trafic pour une position x supposée ;
    n(x) étant la part de la perturbation signalée qui n'est ni confirmée ni infirmée par des données de trafic pour une position x supposée (ignorance).
    x étant la position possible de l'extrémité en amont de la perturbation signalée;
    kmi indiquant la position des points de raccordement et L la longueur de la perturbation possible.
  3. Procédé selon l'une ou plusieurs des revendications précédentes, dans lequel, après le positionnement de l'information à partir d'une source imprécise, la fusion est réalisée avec les données de trafic numériques de localisation précise.
  4. Procédé selon la revendication précédente, dans lequel la part concernée de l'information est validée comme produit final chaque fois que l'information de trafic de localisation précise concoure avec l'ignorance résultant de l'estimation du trafic, les données de trafic numériques étant préférées pour l'ensemble des autres positions.
  5. Dispositif de localisation précise de données de trafic à partir d'une pluralité d'informations de trafic de localisation imprécise, caractérisé par un équipement conçu pour la mise en oeuvre d'un procédé selon l'une ou plusieurs des revendications de procédé précédentes.
  6. Produit de support de données, caractérisé par une structure de données conçue de manière à déclencher, après avoir été installée dans un ordinateur, la mise en oeuvre d'un procédé selon l'une ou plusieurs des revendications de procédé précédentes.
EP06846957A 2006-07-21 2006-12-28 Procédé et dispositif pour la fusion de données sur la circulation routière en cas d'informations incomplètes Active EP2047447B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102006033744A DE102006033744A1 (de) 2006-07-21 2006-07-21 Verfahren und Vorrichtung zur Fusion von Verkehrsdaten bei unvollständiger Information
PCT/DE2006/002327 WO2008011850A1 (fr) 2006-07-21 2006-12-28 Procédé et dispositif pour la fusion de données sur la circulation routière en cas d'informations incomplètes

Publications (2)

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EP2047447A1 EP2047447A1 (fr) 2009-04-15
EP2047447B1 true EP2047447B1 (fr) 2011-04-27

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Country Link
US (1) US9076329B2 (fr)
EP (1) EP2047447B1 (fr)
JP (1) JP5106529B2 (fr)
AT (1) ATE507546T1 (fr)
DE (2) DE102006033744A1 (fr)
ES (1) ES2365418T3 (fr)
WO (1) WO2008011850A1 (fr)

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US6587781B2 (en) 2000-08-28 2003-07-01 Estimotion, Inc. Method and system for modeling and processing vehicular traffic data and information and applying thereof
US7620402B2 (en) 2004-07-09 2009-11-17 Itis Uk Limited System and method for geographically locating a mobile device
GB0901588D0 (en) 2009-02-02 2009-03-11 Itis Holdings Plc Apparatus and methods for providing journey information
GB2492369B (en) 2011-06-29 2014-04-02 Itis Holdings Plc Method and system for collecting traffic data
EP2852807B1 (fr) * 2012-05-21 2017-10-25 Thales Australia Limited Arme à feu

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DE19905284A1 (de) * 1998-02-19 1999-09-09 Ddg Ges Fuer Verkehrsdaten Mbh Verkehrslageerfassung mit Fuzzy-Klassifikation und mehrdimensionaler morphologischer Datenfilterung und dynamischer Domänenbildung
US6311127B1 (en) * 1999-09-02 2001-10-30 Rockwell Collins Satellite navigation system having redundant signal processing and matched filtering
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DE102004046357A1 (de) * 2004-09-24 2006-04-27 Daimlerchrysler Ag Verfahren zur Bereitstellung von Verkehrsgrößen
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US7894980B2 (en) * 2005-02-07 2011-02-22 International Business Machines Corporation Method and apparatus for estimating real-time travel times over a transportation network based on limited real-time data
DE102005009604B4 (de) * 2005-02-28 2008-07-17 Ptv Ag Verfahren und Vorrichtung zum Erzeugen eines Bewertungswertes für Verkehrsdaten
US8874354B2 (en) * 2007-10-16 2014-10-28 International Business Machines Corporation Method and system for expansion of real-time data on traffic networks

Also Published As

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DE502006009415D1 (de) 2011-06-09
ATE507546T1 (de) 2011-05-15
JP5106529B2 (ja) 2012-12-26
JP2009545021A (ja) 2009-12-17
US20090287403A1 (en) 2009-11-19
DE102006033744A1 (de) 2008-01-24
US9076329B2 (en) 2015-07-07
WO2008011850A1 (fr) 2008-01-31
ES2365418T3 (es) 2011-10-04
EP2047447A1 (fr) 2009-04-15

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