Traffic simulation is conventionally based on travel time as input to the cost function. The new challenge in traffic management takes into account not only travel throughput but also vehicle emission and safety. The question is then whether the network traffic performance will change if multi-criteria are taken into account in traffic management? To address this, an experimental simulation and application have been designed to investigate how multi-criteria traffic management can be achieved and whether relevant network performance could be computed in terms of multi-criteria routing. The experiments show that a careful design of cost function with survey-supported coefficients would provide a solution to an optimized routing in multi-criteria traffic management, and the network total travel time and emission could be effectively reduced when a routing strategy is well tuned.


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    Titel :

    Empirical findings with multi-criteria routing for Dynamic Traffic Management


    Beteiligte:
    Chen, Yusen (Autor:in) / Fan Zhang (Autor:in)


    Erscheinungsdatum :

    01.10.2013


    Format / Umfang :

    1657553 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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