Robust Wardrop’s user equilibrium assignment under stochastic demand and supply: Expected residual minimization approach
Robust Wardrop’s user equilibrium assignment under stochastic demand and supply: Expected residual minimization approach
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DOI：
10.1016/j.trb.2010.09.008
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发表时间：
2011-03
影响因子：
6.8
通讯作者：
Chao Zhang;Xiaojun Chen;A. Sumalee
中科院分区：
文献类型：
--
作者：
Chao Zhang;Xiaojun Chen;A. Sumalee
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.
