Modeling traveler's route choice criteria under uncertainty

Hu Shao, Hing Keung William Lam, Mei Lam Tam

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

Abstract

This paper examines the differences between the travel time budget (TTB) model (Lo and Luo, 2004) and the reliability-based stochastic user equilibrium (RSUE) model (Shao et al., 2005). These two models are aimed to model travelers' route choice criteria under uncertainty. The TTB model studies the travel time variations caused by exogenous sources in terms of predetermined link capacity variations with a given travel demand. It is postulated the travelers would acquire the route travel time variations based on past experiences, and take such variations into their route choice consideration in the form of a travel time budget. On the other hand, the RSUE model explores the travel time variations arising from endogenous sources which are dependent on the variations of travel demand. It can further be extended to incorporate the travelers' perception errors in their route choice behaviors. In order to clearly distinguish the essential differences between these two models, numerical examples are presented together with discussion of the key findings.
Original languageEnglish
Title of host publicationTransportation and the Economy - Proceedings of the 10th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2005
Pages160-168
Number of pages9
Publication statusPublished - 1 Dec 2005
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
CountryHong Kong
CityKowloon
Period10/12/0510/12/05

ASJC Scopus subject areas

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

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