Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/12948
Title: Robust Wardrop's user equilibrium assignment under stochastic demand and supply : expected residual minimization approach
Authors: Zhang, C
Chen, X 
Sumalee, A
Keywords: Demand and supply uncertainty
Expected residual minimization
Nonadditive cost
Robust traffic assignment
Wardrop's user equilibrium
Issue Date: 2011
Publisher: Pergamon Press
Source: Transportation research. Part B, Methodological, 2011, v. 45, no. 3, p. 534-552 How to cite?
Journal: Transportation research. Part B, Methodological 
Abstract: Various models of traffic assignment under stochastic environment have been proposed recently, mainly by assuming different travelers' behavior against uncertainties. This paper focuses on the expected residual minimization (ERM) model to provide a robust traffic assignment with an emphasis on the planner's perspective. The model is further extended to obtain a stochastic prediction of the traffic volumes by the technique of path choice approach. We show theoretically the existence and the robustness of the ERM solution. In addition, we employ an improved solution algorithm for solving the ERM model. Numerical experiments are carried out to illustrate the characteristics of the proposed model, by comparing with other existing models.
URI: http://hdl.handle.net/10397/12948
ISSN: 0191-2615
EISSN: 1879-2367
DOI: 10.1016/j.trb.2010.09.008
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