This research considers congestion pricing under demand uncertainty. In particular, a robust optimization (RO) approach is applied to optimal congestion pricing problems under user equilibrium. A mathematical model is developed and an analysis performed to consider robust, dynamic user equilibrium, optimal tolls based on the second-best problem known as the dynamic optimal toll problem with equilibrium constraints, or DOTPEC. Finally, numerical experiments and qualitative analyses are conducted to investigate the performance and robustness of the solutions obtained.


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    Title :

    Dynamic, Stochastic Models for Congestion Pricing and Congestion Securities. Final Report


    Contributors:
    T. L. Friesz (author) / T. Yao (author)

    Publication date :

    2010


    Size :

    17 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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