A new algorithm for achieving proportionality in user equilibrium traffic assignment

Jun Xie, Yu Nie

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

This paper proposes a novel algorithm to determine the path flow solution that satisfies the proportionality condition from a given origin-based user equilibrium (UE) link flow solution. The algorithm iteratively refines the origin-based bush representation of the UE solution through constructing a list of "node-based arrival bushes" and solving the entropy maximization subproblems defined on them. Thanks to the special structure of bushes, these subproblems can be solved efficiently. The proposed algorithm thus obviates the knownhurdles to efficient implementation, such as enumerating allUE paths or collecting a set of paired alternative segments to cover them. We prove that the algorithm ensures convergence to a solution that perfectly satisfies the proportionality condition in general networks. Numerical experiments indicate that the proposed algorithm converges much faster than the known alternative, with a three- to eightfold speed-up on large networks.

Original languageEnglish (US)
Pages (from-to)566-584
Number of pages19
JournalTransportation Science
Volume53
Issue number2
DOIs
StatePublished - Mar 2019

Funding

Funding: J. Xie was funded by the Chinese National Nature Science Foundation [Grant 71501129] and the Chinese International Postdoctoral Exchange Fellowship Program [Grant 20150045]. The work was also partially funded by the National Science Foundation [Award 1534138]. Supplemental Material: The online appendices are available at https://doi.org/10.1287/trsc.2018.0845.

Keywords

  • bush representation
  • entropy maximization
  • paired alternative segments
  • proportionality
  • user equilibrium

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation

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