This paper proposes a method based on a bi-level programming model to determine road tolls for congested urban areas in order to manage road traffic. The objective of the upper model is to minimize total social loss caused by traffic within a certain district, where the lower model is embodied as the determinate user equilibrium model under a multimodal transportation network. Trip assignment is synchronously executed with mode split under the multimodal transportation network, including two sub-systems which are auto-driving network and bus transit network. The inter-network effect between two sub systems is considered, taking into account the fact that travelers in two systems share the same road facility, and the driving condition of one system will inevitably influence the other one. The step-accelerating method and Frank-Wolfe method are, respectively, used to solve the upper and lower model. Also, the concept of a super-network is defined and applied to calculate generalized cost of all the links.


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    Title :

    Determining Road Toll for Multimode Transportation Network Based on Bi-Level Programming Model Applying Super-Network


    Contributors:
    Huang, Rong (author) / Wang, Wei (author) / Du, Jiankun (author)

    Conference:

    17th COTA International Conference of Transportation Professionals ; 2017 ; Shanghai, China


    Published in:

    CICTP 2017 ; 2731-2740


    Publication date :

    2018-01-18




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English