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.
Dynamic, Stochastic Models for Congestion Pricing and Congestion Securities. Final Report
2010
17 pages
Report
Keine Angabe
Englisch
Transportation , Transportation & Traffic Planning , Operations Research , Demand uncertainity , Stochastic models , Congestion securities , Congestion pricing , Dynamic models , Mathematical models , Optimal tolls , Solution performance , Solution robustness , Numerical analyses , Qualitative analyses , Tobust optimization , Dynamic user equilibrium , Dynamic congestion pricing
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