Modeling physical and environmental side constraints in traffic equilibrium problem

Anthony Chen, Zhong Zhou, Seungkyu Ryu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

38 Citations (Scopus)

Abstract

The traffic equilibrium problem plays an important role in urban transportation planning and management. It predicts 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 equilibrium problem by explicit modeling various physical and environment restrictions as side constraints. These side constraints are a useful means for describing queuing and congestion effects, restraining traffic flows to limit the amount of emissions, and modeling different traffic control policies. A generalized side-constrained traffic equilibrium (GSCTE) model is presented and some characterizations of the equilibrium solutions are discussed. The model is formulated as a variational inequality problem and solved by a predictor-corrector decomposition algorithm. Two numerical experiments are conducted to demonstrate some properties of the GSCTE model and the convergence properties of the decomposition algorithm.
Original languageEnglish
Pages (from-to)172-197
Number of pages26
JournalInternational Journal of Sustainable Transportation
Volume5
Issue number3
DOIs
Publication statusPublished - 1 May 2011
Externally publishedYes

Keywords

  • Decomposition algorithm
  • Emission restriction
  • Physical capacity
  • Side constraints
  • Traffic equilibrium
  • Variational inequality

ASJC Scopus subject areas

  • Environmental Engineering
  • Geography, Planning and Development
  • Civil and Structural Engineering
  • Renewable Energy, Sustainability and the Environment
  • Automotive Engineering
  • Transportation

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