We consider a specific ATIS which objective is to reduce drivers’ travel cost uncertainty with recurrent network congestion through the provision of traffic information. Most of the studies premise of the use of a static model for an essentially dynamic problem. We propose a multi-user stochastic dynamic route and departure time model for modeling interactions among travelers. We propose a nested-logit model for the determination of the market penetration and compliance rate of ATIS. The upper level is for market penetration; the lower level is for compliance rate. Then an iterative algorithm is proposed for the determination of the endogenous market penetration and compliance rate of ATIS and the equilibrium network flow pattern. Finally, the model and algorithm are tested in a simple network.


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    Title :

    The determination of the endogenous market penetration and compliance rate of advanced traveler information systems


    Contributors:
    S. G. Li (author)


    Publication date :

    2004



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown