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A rolling horizon approach for disruption management of railway rolling stock

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  • Nielsen, Lars Kjær
  • Kroon, Leo
  • Maróti, Gábor
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    Abstract

    This paper deals with real-time disruption management of rolling stock in passenger railway transportation. We describe a generic framework for dealing with disruptions of railway rolling stock schedules. The framework is presented as an online combinatorial decision problem, where the uncertainty of a disruption is modeled by a sequence of information updates. To decompose the problem and to reduce the computation time, we propose a rolling horizon approach: rolling stock decisions are only considered if they are within a certain time horizon from the time of rescheduling. The schedules are then revised as time progresses and new information becomes available. We extend an existing model for rolling stock scheduling to the specific requirements of the real-time situation, and we apply it in the rolling horizon framework. We perform computational tests on instances constructed from real-life cases of Netherlands Railways (NS), the main operator of passenger trains in the Netherlands. We explore the consequences of different settings of the approach for the trade-off between solution quality and computation time.

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    Bibliographic Info

    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 220 (2012)
    Issue (Month): 2 ()
    Pages: 496-509

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    Handle: RePEc:eee:ejores:v:220:y:2012:i:2:p:496-509

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    Web page: http://www.elsevier.com/locate/eor

    Related research

    Keywords: Transportation; Railway optimization; Rolling stock; Disruption management; Rolling horizon; Integer programming;

    References

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    1. Huisman, D. & Kroon, L.G. & Lentink, R.M. & Vromans, M.J.C.M., 2005. "Operations research in passenger railway transportation," Econometric Institute Research Papers EI 2005-16, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Kohl, Niklas & Larsen, Allan & Larsen, Jesper & Ross, Alex & Tiourine, Sergey, 2007. "Airline disruption management—Perspectives, experiences and outlook," Journal of Air Transport Management, Elsevier, vol. 13(3), pages 149-162.
    3. Törnquist, Johanna, 2007. "Railway traffic disturbance management--An experimental analysis of disturbance complexity, management objectives and limitations in planning horizon," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(3), pages 249-266, March.
    4. Fioole, Pieter-Jan & Kroon, Leo & Maroti, Gabor & Schrijver, Alexander, 2006. "A rolling stock circulation model for combining and splitting of passenger trains," European Journal of Operational Research, Elsevier, Elsevier, vol. 174(2), pages 1281-1297, October.
    5. Lingaya, Norbert & Cordeau, Jean-Françcois & Desaulniers, Guy & Desrosiers, Jacques & Soumis, Françcois, 2002. "Operational car assignment at VIA Rail Canada," Transportation Research Part B: Methodological, Elsevier, vol. 36(9), pages 755-778, November.
    6. Suresh Chand & Vernon Ning Hsu & Suresh Sethi, 2002. "Forecast, Solution, and Rolling Horizons in Operations Management Problems: A Classified Bibliography," Manufacturing & Service Operations Management, INFORMS, INFORMS, vol. 4(1), pages 25-43, September.
    7. Jespersen-Groth, J. & Potthoff, D. & Clausen, J. & Huisman, D. & Kroon, L.G. & Maroti, G. & Nielsen, M.N., 2007. "Disruption management in passenger railway transportation," Econometric Institute Research Papers EI 2007-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
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    Cited by:
    1. Cadarso, Luis & Marín, Ángel & Maróti, Gábor, 2013. "Recovery of disruptions in rapid transit networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 53(C), pages 15-33.

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