Stochastic User Equilibrium Quasi-Dynamic Traffic Assignment Model with Time-Varying Demand

Currently, there is a large amount of literature studying dynamic traffic assignment but applying dynamic traffic assignment methods to large-scale networks tends to incur excessive computational costs and consumes a lot of time. The static traffic assignment also does not consider the traffic variation over time leading to a large difference between the assignment results and the reality. This paper adopts a quasi-dynamic assignment method and proposes a new method for calculating residual traffic demand, which considers the propagation of residual traffic demand between time periods and also establishes a Logit-based stochastic user equilibrium assignment model considering the different familiarity of travelers with the road network. Finally, the application of the model is illustrated through the Braess network. The research results enrich the basic theory of traffic science and can provide a reference basis for the formulation of traffic policies.

• Record URL:
  • https://doi.org/10.1061/9780784484869.215
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784484869
• Supplemental Notes:
  • © 2023 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Qi, Qi
  • Zhao, Chuan-Lin
  • He, Shao-Song
  • Sun, Yang-Qi
• Conference:
  • 23rd COTA International Conference of Transportation Professionals
  • Location: Beijing , China
  • Date: 2023-7-14 to 2023-7-17
• Publication Date: 2023

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 2276-2284
• Monograph Title: CICTP 2023: Innovation-Empowered Technology for Sustainable, Intelligent, Decarbonized, and Connected Transportation

Subject/Index Terms

• TRT Terms: Analysis of variance; Dynamic traffic assignment; Logits; Stochastic processes; Traffic equilibrium; Travel demand
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01906330
• Record Type: Publication
• ISBN: 9780784484869
• Files: TRIS, ASCE
• Created Date: Jan 29 2024 1:13PM