To improve the two major drawbacks of Logit-based traffic assignment model, a stochastic Probit-based traffic assignment model on the base of assuming that the random error of road link utility follows the normal distribution is proposed and the Monte-Carlo algorithm is applied to solve the Probit-based model. During the process of the algorithm, all or nothing traffic flow assignment is taken under normal sampling all the road link random errors, emphasis is placed on the normal distribution variance influence over the traffic flow assignment results. A system optimal quantitative indicator based on minimum OD average cost principal is developed to evaluate the traffic flow assignment result. The numerical example for a small traffic network is used to assess the traffic assignment model and computational algorithm proposed. Results show better traffic assignment can be achieved when decreasing variance.


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    Title :

    Stochastic Traffic Assignment Algorithm Based on Probit Model


    Contributors:
    Yang, Yong (author) / Yan, Yusong (author) / Hu, Zuoan (author)

    Conference:

    Fourth International Conference on Transportation Engineering ; 2013 ; Chengdu, China


    Published in:

    ICTE 2013 ; 1682-1688


    Publication date :

    2013-10-09




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English