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

机译:拥挤定价和拥塞证券的动态随机模型。总结报告

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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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