Simultaneously Recovering Rolling Stock Schedules and Depot Plans Under Disruption

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    Abstract

    In this paper we consider two important railway optimization problems. In particular, we focus on the Rolling Stock Rescheduling problem and the Depot Replanning problem, respectively. We present an integrated framework for solving these two problems simultaneously, and show that it is fast enough to be applied in a disruption recovery setting. Furthermore, we provide a comparison of several solution strategies to the Train Unit Parking Problem, and, by way of an example prove the heuristic nature of a previously proposed optimal approach. We analyse the performance of the proposed methodology on a number of articial data sets as well as several real-life case studies provided by DSB Stog, a suburban train operator in the greater Copenhagen area.
    Original languageEnglish
    Title of host publicationProceedings of the 13th Conference on Advanced Systems in Public Transport (CASPT) 2015
    Number of pages21
    PublisherErasmus University
    Publication date2015
    Publication statusPublished - 2015
    Event13th Conference on Advanced Systems in Public Transport - Rotterdam, Netherlands
    Duration: 19 Jul 201523 Jul 2015
    Conference number: 13

    Conference

    Conference13th Conference on Advanced Systems in Public Transport
    Number13
    Country/TerritoryNetherlands
    CityRotterdam
    Period19/07/201523/07/2015

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