Article ID: | iaor20127869 |
Volume: | 46 |
Issue: | 10 |
Start Page Number: | 1504 |
End Page Number: | 1518 |
Publication Date: | Dec 2012 |
Journal: | Transportation Research Part B |
Authors: | Chung Byung Do, Friesz Terry L, Yao Tao, Liu Hongcheng |
Keywords: | programming: dynamic |
In this paper, we consider dynamic congestion pricing in the presence of demand uncertainty. In particular, we apply a robust optimization (RO) approach based on a bi‐level cellular particle swarm optimization (BCPSO) to optimal congestion pricing problems when flows correspond to dynamic user equilibrium on the network of interest. Such a formulation is recognized as a second‐best pricing problem, and we refer to it as the dynamic optimal toll problem with equilibrium constraints (DOTPEC). We then present numerical experiments in which BCPSO is compared with two alternative robust dynamic solution approaches: