Traffic equilibrium problem: Incorporating traffic restraint and random perception

Zhong Zhou, Anthony Chen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Traffic assignment is an essential and fundamental step in the transportation planning and management process. It predicts the vehicular flows on the transportation network by assigning travel demands given in terms of an origin-destination trip table to routes in a network according to some behavioral route choice rules. In this paper, we enhance the realism of the traffic assignment procedure by incorporating traffic restraint and random perception. Specifically, various traffic flow restrictions and traffic control policies are explicitly modeled as side constraints, and a C-logit model is adopted to account for traveler's perception error in the traffic assignment procedure. Models and algorithm for the C-logit stochastic user equilibrium problem with side constraints are presented. The validity and some properties of the models and algorithm are demonstrated with a simple network.
Original languageEnglish
Title of host publicationTransportation and the Economy - Proceedings of the 10th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2005
Pages43-52
Number of pages10
Publication statusPublished - 1 Dec 2005
Externally publishedYes
Event10th International Conference of Hong Kong Society for Transportation Studies: Transportation and the Economy, HKSTS 2005 - Kowloon, Hong Kong
Duration: 10 Dec 200510 Dec 2005

Conference

Conference10th International Conference of Hong Kong Society for Transportation Studies: Transportation and the Economy, HKSTS 2005
Country/TerritoryHong Kong
CityKowloon
Period10/12/0510/12/05

Keywords

  • C-logit
  • Side constraints
  • Stochastic user equilibrium
  • Traffic assignment

ASJC Scopus subject areas

  • Automotive Engineering
  • Civil and Structural Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality

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