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Integrating rolling stock scheduling with train unit shunting

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  • Haahr, Jørgen
  • Lusby, Richard M.

Abstract

In this paper, we consider integrating two important railway optimization problems, in particular the Rolling Stock Scheduling Problem and the Train Unit Shunting Problem. We present two similar branch-and-cut based approaches to solve this integrated problem and, in addition, provide a comparison of different approaches to solve the so-called Track Assignment Problem, a subcomponent of the Train Unit Shunting problem. In this analysis we demonstrate, by way of a counter example, the heuristic nature of a previously argued optimal approach. For the integrated problem we analyze the performance of the proposed approaches on several real-life case studies provided by DSB S-tog, a suburban train operator in the greater Copenhagen area. Computational results confirm the necessity of the integrated approach; high quality solutions to the integrated problem are obtained on instances where a conventional, sequential approach ends in infeasibility. Furthermore, for the considered instances, solutions are typically found within a few minutes, indicating the applicability of the methodology to short-term planning.

Suggested Citation

  • Haahr, Jørgen & Lusby, Richard M., 2017. "Integrating rolling stock scheduling with train unit shunting," European Journal of Operational Research, Elsevier, vol. 259(2), pages 452-468.
  • Handle: RePEc:eee:ejores:v:259:y:2017:i:2:p:452-468
    DOI: 10.1016/j.ejor.2016.10.053
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    Cited by:

    1. Gao, Yuan & Xia, Jun & D’Ariano, Andrea & Yang, Lixing, 2022. "Weekly rolling stock planning in Chinese high-speed rail networks," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 295-322.
    2. Haahr, Jørgen Thorlund & Lusby, Richard M. & Wagenaar, Joris Camiel, 2017. "Optimization methods for the Train Unit Shunting Problem," European Journal of Operational Research, Elsevier, vol. 262(3), pages 981-995.
    3. Valentina Cacchiani & Alberto Caprara & Paolo Toth, 2019. "An Effective Peak Period Heuristic for Railway Rolling Stock Planning," Transportation Science, INFORMS, vol. 53(3), pages 746-762, May.
    4. Jia Feng & Guowei Li & Yuxin Shi & Zhengzhong Li & Shanshan Liu, 2022. "Urban Rail Transit Rolling Stock Scheduling Optimization with Shared Depot," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    5. Li Lei & Raymond S K Kwan & Zhiyuan Lin & Pedro J Copado-Mendez, 2022. "Resolution of coupling order and station level constraints in train unit scheduling," Public Transport, Springer, vol. 14(1), pages 27-61, March.

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