A mean-excess equilibrium assignment model for railway networks

Guangming Xu, Anthony Chen

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

Abstract

This paper develops a railway passenger equilibrium assignment model to consider both reliability and unreliability aspects of travel time variability in the route choice decision process. In this context, the mean-excess travel time (METT) concept developed by Chen and Zhou (2010), defined as the conditional expectation of travel times beyond the effective travel time, is adopted to model passengers’ evaluation of different travel options in railway networks. Moreover, the unreliability of transfer between trains is considered in the METT. The unsuccessful transfer probability is calculated based on the delay probabilities of two trains in the transfer process. Based on the user equilibrium conditions under uncertainty, a mean-excess equilibrium assignment model for railway networks is formulated and solved using a path-based traffic assignment algorithm. An illustrative example is presented to demonstrate the model and solution algorithm.

Original languageEnglish
Title of host publicationProceedings of the 24th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2019
Subtitle of host publicationTransport and Smart Cities
EditorsAndy H.F. Chow, S.M. Lo, Lishuai Li
PublisherHong Kong Society for Transportation Studies Limited
Pages127-136
Number of pages10
ISBN (Electronic)9789881581488
Publication statusPublished - 1 Jan 2010
Event24th International Conference of Hong Kong Society for Transportation Studies: Transport and Smart Cities, HKSTS 2019 - Hong Kong, Hong Kong
Duration: 14 Dec 201916 Dec 2019

Publication series

NameProceedings of the 24th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2019: Transport and Smart Cities

Conference

Conference24th International Conference of Hong Kong Society for Transportation Studies: Transport and Smart Cities, HKSTS 2019
Country/TerritoryHong Kong
CityHong Kong
Period14/12/1916/12/19

Keywords

  • Itinerary choice
  • Mean-excess
  • Railway networks

ASJC Scopus subject areas

  • Building and Construction
  • Information Systems
  • Civil and Structural Engineering
  • Transportation
  • Computer Networks and Communications

Cite this