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Railway timetable rescheduling with flexible stopping and flexible short-turning during disruptions

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  • Zhu, Yongqiu
  • Goverde, Rob M.P.

Abstract

Railway operations are vulnerable to unexpected disruptions that should be handled in an efficient and passenger-friendly way. To this end, we propose a timetable rescheduling model where flexible stopping (i.e. skipping stops and adding stops) and flexible short-turning (i.e. full choice of short-turn stations) are innovatively integrated with three other dispatching measures: retiming, reordering, and cancelling. The Mixed Integer Linear Programming model also ensures that each train serving a station is ensured with a platform track. To consider the rescheduling impact on passengers, the weight of each decision is estimated individually according to the time-dependent passenger demand. The objective is minimizing passenger delays. A case study is carried out for hundreds of disruption scenarios on a subnetwork of the Dutch railways. It is found that (1) applying a mix of flexible stopping and flexible short-turning results in less passenger delays; (2) shortening the recovery duration mitigates the post-disruption consequence by less delay propagation but is at the expense of more cancelled train services during the disruption; and (3) the optimal rescheduling solution is sensitive to the disruption duration, but some steady behaviour is observed when the disruption duration increases by the timetable cycle time.

Suggested Citation

  • Zhu, Yongqiu & Goverde, Rob M.P., 2019. "Railway timetable rescheduling with flexible stopping and flexible short-turning during disruptions," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 149-181.
  • Handle: RePEc:eee:transb:v:123:y:2019:i:c:p:149-181
    DOI: 10.1016/j.trb.2019.02.015
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    5. 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.
    6. Wang, Yihui & Zhao, Kangqi & D’Ariano, Andrea & Niu, Ru & Li, Shukai & Luan, Xiaojie, 2021. "Real-time integrated train rescheduling and rolling stock circulation planning for a metro line under disruptions," Transportation Research Part B: Methodological, Elsevier, vol. 152(C), pages 87-117.
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    8. Liu, Enze & Barker, Kash & Chen, Hong, 2022. "A multi-modal evacuation-based response strategy for mitigating disruption in an intercity railway system," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    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. Chen, Yao & An, Kun, 2021. "Integrated optimization of bus bridging routes and timetables for rail disruptions," European Journal of Operational Research, Elsevier, vol. 295(2), pages 484-498.
    11. Xu, Xiaoming & Li, Chung-Lun & Xu, Zhou, 2021. "Train timetabling with stop-skipping, passenger flow, and platform choice considerations," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 52-74.
    12. Du, Yiying & Zhou, Wenyuan & Lian, Feng, 2022. "A scheme for passenger service-like backhaul for China railway express trains," Transport Policy, Elsevier, vol. 120(C), pages 56-68.
    13. Zhan, Shuguang & Wang, Pengling & Wong, S.C. & Lo, S.M., 2022. "Energy-efficient high-speed train rescheduling during a major disruption," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    14. 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.
    15. Zhang, Chuntian & Gao, Yuan & Cacchiani, Valentina & Yang, Lixing & Gao, Ziyou, 2023. "Train rescheduling for large-scale disruptions in a large-scale railway network," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).

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