Optimization models for multi-period railway rolling stock assignment

Susumu Morito, Yuho Takehi, Jun Imaizumi, Takayuki Shiina

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    It is necessary for railway companies to construct daily schedules of assigning rolling stocks to utilization paths. A utilization path consists of a series of trains that a particular rolling stock performs in a day. A mixed integer programming model based on Lai et al. [1] is presented and is shown that straightforward applications of the model result in too much computational time and also inappropriate assignment schedules due to end effects. We show that the model can be modified to alleviate these difficulties, and also show that the repeated applications of the optimization model in the rolling horizon allow to generate a feasible assignment schedule for a longer period of time thus indicating the feasibility of the optimization approach.

    Original languageEnglish
    Title of host publicationCombinatorial Optimization - 4th International Symposium, ISCO 2016, Revised Selected Papers
    PublisherSpringer Verlag
    Pages393-402
    Number of pages10
    Volume9849 LNCS
    ISBN (Print)9783319455860
    DOIs
    Publication statusPublished - 2016
    Event4th International Symposium on Combinatorial Optimization, ISCO 2016 - Vietri sul Mare, Italy
    Duration: 2016 May 162016 May 18

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume9849 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other4th International Symposium on Combinatorial Optimization, ISCO 2016
    CountryItaly
    CityVietri sul Mare
    Period16/5/1616/5/18

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    Keywords

    • Inspection requirements
    • Mixed integer programming
    • Railway rolling stock
    • Utilization path

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

    Cite this

    Morito, S., Takehi, Y., Imaizumi, J., & Shiina, T. (2016). Optimization models for multi-period railway rolling stock assignment. In Combinatorial Optimization - 4th International Symposium, ISCO 2016, Revised Selected Papers (Vol. 9849 LNCS, pp. 393-402). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9849 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-45587-7_34