Dynamic traffic assignment (DTA) models typically describe travelers selecting their routes before departure (pretrip) or during the trip (en route). However, in reality, people follow a certain route but have the opportunity to deviate from that route. An analytical hybrid route choice model is proposed that unifies pretrip and en route route choice in a tractable way. It enables modeling intermediate states where travelers make pretrip route choice decisions and may deviate from this route if they receive information about a more attractive route, for instance, because of unforeseen adverse traffic conditions. The hybrid route choice model is widely applicable to various planning and management applications in DTA and makes the DTA model more realistic in cases such as route guidance problems, where the combination of prescribed routes and en route route choice is evident. Furthermore, the proposed route choice model is generic because different dynamic traffic flow models can be used in the model, analytical or simulation-based. Also, two common problems in DTA related to gridlock and time-varying network conditions are solved in the hybrid route choice model.


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    Titel :

    Hybrid Route Choice Modeling in Dynamic Traffic Assignment


    Weitere Titelangaben:

    Transportation Research Record


    Beteiligte:


    Erscheinungsdatum :

    2009-01-01




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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