Schedule-based transit assignment model in transit networks with recurrent uncertainties

Yuqing Zhang, Hing Keung William Lam, Agachai Sumalee

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

Abstract

This paper proposes a novel within-day dynamic transit assignment model in networks with both demand and service uncertainties. The transit demand uncertainty is due to day-to-day demand variation and passengers' stochastic arrival patterns while the transit service uncertainty is result from the stochastic dwelling times at stops and transit vehicle travel times on roads. The schedule-based transit assignment approach is adapted for modeling passengers' risk-taking behavior on their route choice problem in dynamic transit networks with uncertainties. A dynamic network loading procedure is carried out in a time-incremental manner embedding a stochastic process. The proposed model is formulated as a fixed-point problem in a diachronic network. A multiple successive averaging algorithm is designed with propagation on passenger loads and service configuration. The proposed model is finally tested in a small-size artificial transit network for illustration.
Original languageEnglish
Title of host publicationProceedings of the 13th International Conference of Hong Kong Society for Transportation Studies
Subtitle of host publicationTransportation and Management Science
Pages41-49
Number of pages9
Publication statusPublished - 1 Dec 2008
Event13th International Conference of Hong Kong Society for Transportation Studies: Transportation and Management Science - Kowloon, Hong Kong
Duration: 13 Dec 200815 Dec 2008

Conference

Conference13th International Conference of Hong Kong Society for Transportation Studies: Transportation and Management Science
Country/TerritoryHong Kong
CityKowloon
Period13/12/0815/12/08

ASJC Scopus subject areas

  • Transportation

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