Freight train scheduling with elastic demand

April Kuo, Elise Miller-Hooks*, Hani S Mahmassani

*Corresponding author for this work

Research output: Contribution to journalArticle

24 Scopus citations

Abstract

A train slot selection model based on multicommodity network flow concepts is developed for determining freight train timetables for scheduling rail services along multiple interconnected routes. The model seeks to minimize operating costs incurred by carriers and delays incurred by shippers while ensuring that the schedules and demand levels are mutually consistent. A column generation-based methodology is proposed for train slot selection to meet frequency requirements. This methodology is embedded in a simulation-based iterative framework, where demand for rail services is re-computed in accordance with the train schedule obtained by solving the freight train scheduling problem.

Original languageEnglish (US)
Pages (from-to)1057-1070
Number of pages14
JournalTransportation Research Part E: Logistics and Transportation Review
Volume46
Issue number6
DOIs
StatePublished - Jan 1 2010

Keywords

  • Elastic demand
  • Forward markets
  • Freight transport
  • Multicommodity network flows
  • Simulation
  • Train scheduling

ASJC Scopus subject areas

  • Business and International Management
  • Transportation
  • Management Science and Operations Research

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