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Liu, H.X., He, X. and He, B. (2009) Method of Successive Weighted Averages (MSWA) and Self-Regulated Averaging Schemes for Solving Stochastic User Equilibrium Problem. Networks and Spatial Economics, 9, 485-503.
https://doi.org/10.1007/s11067-007-9023-x

has been cited by the following article:

• TITLE: The Algorithms for MEM Stochastic User Equilibrium Model

  AUTHORS: Baolong Liu, Zhonghui Xue, Yazheng Dang, Junxiang Li

  KEYWORDS: Stochastic User Equilibrium Model, MEM Model, MSA, Traffic Assignment

  JOURNAL NAME: Open Access Library Journal, Vol.6 No.10, October 14, 2019

  ABSTRACT: MEM stochastic user equilibrium model is proposed by foreign scholars in recent years. It is flexible due to the joint distribution of the stochastic errors and this property shows a promising application in realistic traffic assignment. However, there is little research on the algorithms for MEM model. This paper adopts MSA, MSWA and SRA to solve the new MEM stochastic user equilibrium model. The performances are verified through an experiment with fixed demand in Nguyen & Dupuis network, and the expected results show that MEM model is applicable in practice. Finally, considering the shortcomings of the experiment, we point out a direction of further research.