This paper aims to systematically evaluate benefits of traveler information provision strategies in a realistic environment with stochastic traffic demand, stochastic road capacity, and different degrees of traveler knowledge and traffic information provision quality. Based on a stochastic user equilibrium modeling framework, the proposed model uses a multi-day representation scheme to describe stochastic samples of uncertain demand and capacity supply, as well as day-dependent travel time. A gap-function based optimization model is further developed to find equilibrium solutions.


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    Titel :

    Quantifying benefits of traffic information provision under stochastic demand and capacity conditions: A multi-day traffic equilibrium approach


    Beteiligte:
    Mingxin Li, (Autor:in) / Xuesong Zhou, (Autor:in) / Rouphail, N. M. (Autor:in)


    Erscheinungsdatum :

    01.10.2011


    Format / Umfang :

    382549 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch