Model and Algorithm for Link-Based Stochastic User Equilibrium Traffic Assignment

The stochastic user equilibrium (SUE) traffic assignment model integrates the concepts of random assignment and Wardrop equilibrium, and it makes the assignment results more reasonable. The conventional Logit-based SUE model is explicitly built upon path flow variables, which encumbers its large-scale applications and further theoretical analyses. In this paper, a link-based SUE traffic assignment model with link capacity constraints is developed by using the network equilibrium modeling approach. The solution equivalence and uniqueness of the proposed model are rigorously proved. An efficient solution algorithm is also proposed to obtain the equilibrium solution. Numerical results indicate that the proposed link-based SUE model can reflect the real route choice behavior of travelers more reasonable and also facilitate the algorithmic development and further theoretical analyses.

• Record URL:
  https://doi.org/10.1061/9780784412442.060
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784412442
• Supplemental Notes:
  • © 2012 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Ji, Kui
  • Cheng, Lin
  • Tang, Wenyun
• Conference:
  • Twelfth COTA International Conference of Transportation Professionals
  • Location: Beijing , China
  • Date: 2012-8-3 to 2012-8-6
• Publication Date: 2012-8

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 579-591
• Monograph Title: CICTP 2012: Multimodal Transportation Systems—Convenient, Safe, Cost-Effective, Efficient

Subject/Index Terms

• TRT Terms: Algorithms; Route choice; Stochastic processes; Traffic assignment; Traffic equilibrium; Traffic flow theory; Traffic models
• Subject Areas: Highways; Planning and Forecasting; I71: Traffic Theory;

Filing Info

• Accession Number: 01500137
• Record Type: Publication
• ISBN: 9780784412442
• Files: TRIS, ASCE
• Created Date: Nov 12 2013 2:35PM