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Rescheduling of Railway Rolling Stock with Dynamic Passenger Flows

Author

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  • Leo Kroon

    (Rotterdam School of Management, Erasmus University Rotterdam, 3000 DR Rotterdam, The Netherlands; and Netherlands Railways, 3500 HA Utrecht, The Netherlands)

  • Gábor Maróti

    (Faculty of Economics and Business Administration, VU University Amsterdam, 1081 HV Amsterdam, The Netherlands; and Netherlands Railways, 3500 HA Utrecht, The Netherlands)

  • Lars Nielsen

    (Quintiq Applications, 5232 CD ‘s-Hertogenbosch, The Netherlands)

Abstract

In this paper we describe a real-time rolling stock rescheduling model for disruption management of passenger railways. Large-scale disruptions, e.g., due to malfunctioning infrastructure or rolling stock, usually result in the cancellation of train services. As a consequence, the passenger flows change, because passengers will look for alternative routes to get to their destinations. Our model takes these dynamic passenger flows into account. This is in contrast with most traditional rolling stock rescheduling models that consider the passenger flows either as static or as given input. Furthermore, we describe an iterative heuristic for solving the rolling stock rescheduling model with dynamic passenger flows. The model and the heuristic were tested on realistic problem instances of Netherlands Railways, the major operator of passenger trains in the Netherlands. The computational results show that the average delay of the passengers can be reduced significantly by taking into account the dynamic behavior of the passenger flows on the detour routes, and that the computation times of the iterative heuristic are appropriate for an application in real-time disruption management.

Suggested Citation

  • Leo Kroon & Gábor Maróti & Lars Nielsen, 2015. "Rescheduling of Railway Rolling Stock with Dynamic Passenger Flows," Transportation Science, INFORMS, vol. 49(2), pages 165-184, May.
    • Handle: RePEc:inm:ortrsc:v:49:y:2015:i:2:p:165-184
    DOI: 10.1287/trsc.2013.0502
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    References listed on IDEAS

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    1. Nielsen, Lars Kjær & Kroon, Leo & Maróti, Gábor, 2012. "A rolling horizon approach for disruption management of railway rolling stock," European Journal of Operational Research, Elsevier, vol. 220(2), pages 496-509.
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    13. 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, vol. 174(2), pages 1281-1297, October.
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    3. Altazin, Estelle & Dauzère-Pérès, Stéphane & Ramond, François & Tréfond, Sabine, 2020. "A multi-objective optimization-simulation approach for real time rescheduling in dense railway systems," European Journal of Operational Research, Elsevier, vol. 286(2), pages 662-672.
    4. Binder, Stefan & Maknoon, Yousef & Bierlaire, Michel, 2017. "Exogenous priority rules for the capacitated passenger assignment problem," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 19-42.
    5. Mo, Pengli & D’Ariano, Andrea & Yang, Lixing & Veelenturf, Lucas P. & Gao, Ziyou, 2021. "An exact method for the integrated optimization of subway lines operation strategies with asymmetric passenger demand and operating costs," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 283-321.
    6. Evelien van der Hurk & Haris N. Koutsopoulos & Nigel Wilson & Leo G. Kroon & Gábor Maróti, 2016. "Shuttle Planning for Link Closures in Urban Public Transport Networks," Transportation Science, INFORMS, vol. 50(3), pages 947-965, August.
    7. Luan, Xiaojie & Corman, Francesco, 2022. "Passenger-oriented traffic control for rail networks: An optimization model considering crowding effects on passenger choices and train operations," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 239-272.
    8. Lin, Zhiyuan & Kwan, Raymond S.K., 2016. "A branch-and-price approach for solving the train unit scheduling problem," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 97-120.
    9. Zhan, Shuguang & Wong, S.C. & Shang, Pan & Peng, Qiyuan & Xie, Jiemin & Lo, S.M., 2021. "Integrated railway timetable rescheduling and dynamic passenger routing during a complete blockage," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 86-123.
    10. Leng, Nuannuan & Corman, Francesco, 2020. "The role of information availability to passengers in public transport disruptions: An agent-based simulation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 214-236.
    11. Tatsuki Yamauchi & Mizuyo Takamatsu & Shinji Imahori, 2023. "Optimizing train stopping patterns for congestion management," Public Transport, Springer, vol. 15(1), pages 1-29, March.
    12. Francisco A. Ortega & Miguel A. Pozo & Justo Puerto, 2018. "On-Line Timetable Rescheduling in a Transit Line," Transportation Science, INFORMS, vol. 52(5), pages 1106-1121, October.
    13. Wagenaar, Joris & Kroon, Leo & Fragkos, Ioannis, 2017. "Rolling stock rescheduling in passenger railway transportation using dead-heading trips and adjusted passenger demand," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 140-161.
    14. Ralf Rückert & Martin Lemnian & Christoph Blendinger & Steffen Rechner & Matthias Müller-Hannemann, 2017. "PANDA: a software tool for improved train dispatching with focus on passenger flows," Public Transport, Springer, vol. 9(1), pages 307-324, July.
    15. Frederik R. Bachmann & Antonios Tsakarestos & Fritz Busch & Klaus Bogenberger, 2024. "State of the art of passenger redirection during incidents in public transport systems, considering capacity constraints," Public Transport, Springer, vol. 16(2), pages 419-447, June.
    16. Chan, Ho-Yin & Chen, Anthony & Li, Guoyuan & Xu, Xiangdong & Lam, William, 2021. "Evaluating the value of new metro lines using route diversity measures: The case of Hong Kong's Mass Transit Railway system," Journal of Transport Geography, Elsevier, vol. 91(C).
    17. Mo, Baichuan & Koutsopoulos, Haris N. & Shen, Zuo-Jun Max & Zhao, Jinhua, 2023. "Robust path recommendations during public transit disruptions under demand uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 169(C), pages 82-107.
    18. Chang Han & Leishan Zhou & Bin Guo & Yixiang Yue & Wenqiang Zhao & Zeyu Wang & Hanxiao Zhou, 2023. "An Integrated Strategy for Rescheduling High-Speed Train Operation under Single-Direction Disruption," Sustainability, MDPI, vol. 15(17), pages 1-31, August.

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