Demand-driven traffic assignment problem based on travel time reliability

Hu Shao, Hing Keung William Lam, Qiang Meng, Mei Lam Tam

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

91 Citations (Scopus)


A novel user equilibrium traffic assignment model based on travel time reliability is presented in view of day-to-day demand fluctuation. Because of daily demand variations, path travel times are not constants, and so they can be viewed as random variables. Assuming that travelers are able to learn the variation of path travel time from experience, a demand-driven user equilibrium principle based on travel time reliability is proposed to characterize travelers' path choice behavior under uncertainty in travel times caused by demand variation. This principle can be formulated as a variational inequality (VI) problem in terms of path flows. The existence of at least one solution for the VI problem, for which a heuristic solution algorithm is adopted, is rigorously proved. Numerical examples are used to illustrate the applications of the proposed model and the solution algorithm.
Original languageEnglish
Title of host publicationTraveler Behavior and Values 2006
PublisherNational Research Council
Number of pages11
ISBN (Print)0309099951, 9780309099950
Publication statusPublished - 1 Jan 2006

Publication series

NameTransportation Research Record
ISSN (Print)0361-1981

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering


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