Knowledge of vehicle headway distribution is very important for intelligent transportation and intelligent vehicle simulations. Various headway distribution models have been proposed, but most of them only fit for a certain traffic situation. To solve this problem, we study the dependence of headway distributions on traffic status in this paper. Results show that the log-normal distribution model is adequate in fitting headway data when the traffic is in free flow status; while the log-logistic distribution model is more suitable in fitting headway data when the traffic is in congestion status. This conclusion is useful in the traffic signal optimization algorithm, since it indicates that we should apply different delay estimation models during different traffic status so as to design optimal timing plan.


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    Title :

    Headway distribution modeling with regard to traffic status


    Contributors:
    Yin, Shengchao (author) / Li, Zhiheng (author) / Zhang, Yi (author) / Yao, Danya (author) / Su, Yuelong (author) / Li, Li (author)


    Publication date :

    2009-06-01


    Size :

    1655602 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Headway Distribution Modeling with Regard to Traffic Status

    Yin, S. / Li, Z. / Zhang, Y. et al. | British Library Conference Proceedings | 2009


    Headway distribution model, interrelationships between headway and fundamental traffic flow characteristics

    Aly, Mostafa Sabry / Faculty of Engineering, Ain Shams University, Cairo / Institut für Verkehrswesen der Universität (TH) Karlsruhe | TIBKAT | 1989


    Headway distribution model, interrelationships between headway and fundamental traffic flow characteristics

    Faculty of Engineering, Ain Shams University, Cairo / Institut für Verkehrswesen der Universität (TH) Karlsruhe | SLUB | 1989


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    J. C. Collins / R. C. Epps | NTIS | 1974