Rescheduling trains with scenario-based fuzzy recovery time representation on two-way double-track railways

Lixing Yang, Xuesong Zhou, Ziyou Gao

Research output: Contribution to journalArticle

23 Scopus citations

Abstract

Severe weather conditions and inherent uncertainties in various components of railway traffic systems can lead to equipment breakdown and reduced capacity on tracks and stations. This paper formulates a two-stage fuzzy optimization model to obtain a robust rescheduling plan under irregular traffic conditions, and a scenario-based representation is adapted to characterize fuzzy recovery time durations on a double-track railway line. The model aims to minimize the expected total delay time in the rescheduled train schedule with respect to the original timetable. Two decomposed sub-models are further developed corresponding to the trains in different directions, and then GAMS optimization software is used to obtain the robust rescheduling plan. The numerical experiments demonstrate the effectiveness of the proposed approaches.

Original languageEnglish (US)
Pages (from-to)605-616
Number of pages12
JournalSoft Computing
Volume17
Issue number4
DOIs
StatePublished - Apr 1 2013
Externally publishedYes

Keywords

  • Train rescheduling
  • Two-stage fuzzy programming and discrete fuzzy variable

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Geometry and Topology

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