Highlights ► The nonlinear distance-based toll design problem is proposed. ► The continuously distributed value of time is assumed. ► A MPEC model is built. ► A GA-based efficient heuristic method is developed.

    Abstract This paper addresses the optimal distance-based toll design problem for cordon-based congestion pricing schemes. The optimal distance tolls are determined by a positive and non-decreasing toll-charge function with respect to the travel distance. Each feasible toll-charge function is evaluated by a probit-based SUE (Stochastic User Equilibrium) problem with elastic demand, asymmetric link travel time functions, and continuously distributed VOT, solved by a convergent Cost Averaging (CA) method. The toll design problem is formulated as a mixed-integer mathematical programming with equilibrium constraints (MPEC) model, which is solved by a Hybrid GA (Genetic Algorithm)–CA method. Finally, the proposed models and algorithms are assessed by two numerical examples.


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    Title :

    Optimal distance tolls under congestion pricing and continuously distributed value of time


    Contributors:
    Meng, Qiang (author) / Liu, Zhiyuan (author) / Wang, Shuaian (author)


    Publication date :

    2012-03-27


    Size :

    21 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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