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Freight train scheduling with elastic demand

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Author Info

  • Kuo, April
  • Miller-Hooks, Elise
  • Mahmassani, Hani S.
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    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.

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    File URL: http://www.sciencedirect.com/science/article/pii/S1366554510000542
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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part E: Logistics and Transportation Review.

    Volume (Year): 46 (2010)
    Issue (Month): 6 (November)
    Pages: 1057-1070

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    Handle: RePEc:eee:transe:v:46:y:2010:i:6:p:1057-1070

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    Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description

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    Web: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/bibliographic

    Related research

    Keywords: Freight transport Elastic demand Simulation Multicommodity network flows Train scheduling Forward markets;

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    Cited by:
    1. Kuo, April & Miller-Hooks, Elise, 2012. "Developing Responsive Rail Services through collaboration," Transportation Research Part B: Methodological, Elsevier, vol. 46(3), pages 424-439.

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