The large population and urban mixed traffic flow have caused many urban traffic problems in China. This paper considers the basic factors that influence the choice behaviors of individual travelers, and presents a system optimization model for urban mixed traffic networks using bi-level programming. The model uses the variational inequality method and increases optimization for an urban mixed traffic system and provides a powerful tool to improve city traffic situations. A case study to illustrate the applications of the model and its algorithm is also included in the paper.


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    Title :

    Travel Demand Based Optimization Model for Urban Mixed Traffic Systems


    Contributors:
    Si, Bing-feng (author) / Gao, Zhili (author)

    Conference:

    First International Symposium on Transportation and Development Innovative Best Practices ; 2008 ; Beijing, China



    Publication date :

    2008-04-04




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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