A method for a reporting behavior at optimal costs of single vehicles (FCD: floating car data) in road networks with the aim of a high quality of traffic state recognition is presented. It is shown that based on minimum two FCD messages the substantial information of a typical traffic incident in a traffic center can be recognized. The two relevant periods of such an obstruction of traffic in road networks are the periods, in which either a travel time increase takes place due to congestion emergence or a travel time decrease because of congestion dissolution. A statistic analysis already shows the high quality of the reconstruction of the actual travel times in the net with 1.5% equipped FCD vehicles and a reduction of the FCD message sending of the vehicles by suppression of redundant incident information. Incidents with at least 20 min duration can be recognized with a probability of 65% with an penetration rate of 1.5% FCD vehicles within the whole amount of vehicles, whereby the FCD vehicles send only in each incident case two messages per event.


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    Title :

    Traffic state detection with floating car data in road networks


    Contributors:
    Kerner, B.S. (author) / Demir, C. (author) / Herrtwich, R.G. (author) / Klenov, S.L. (author) / Rehborn, H. (author) / Aleksic, M. (author) / Haug, A. (author)


    Publication date :

    2005-01-01


    Size :

    370141 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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