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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    Title :

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


    Contributors:


    Publication date :

    2011-10-01


    Size :

    382549 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English