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Optimizing limited-stop services with vehicle assignment

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  • Chew, Joanne S.C.
  • Zhang, Lele
  • Gan, Heng S.

Abstract

This paper studies limited-stop operations for rail transit systems and presents an optimization model, which aims to minimize passengers’ travel times and on-board crowdedness. The model combines the design of service itinerary for each vehicle and the allocation of vehicles of various types among multiple lines. Three methods are proposed including a mixed-integer program and two column generation algorithms. Numerical results on generic scenarios show that the column generation algorithm can provide sub-optimal solutions and is computationally efficient. In a case study on Melbourne’s railway network, its solution significantly improves in the passenger travel time compared to the current practice.

Suggested Citation

  • Chew, Joanne S.C. & Zhang, Lele & Gan, Heng S., 2019. "Optimizing limited-stop services with vehicle assignment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 228-246.
    • Handle: RePEc:eee:transe:v:129:y:2019:i:c:p:228-246
    DOI: 10.1016/j.tre.2019.08.001
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    References listed on IDEAS

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    Cited by:

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    2. Pan, Hanchuan & Liu, Zhigang & Yang, Lixing & Liang, Zhe & Wu, Qiang & Li, Sijie, 2021. "A column generation-based approach for integrated vehicle and crew scheduling on a single metro line with the fully automatic operation system by partial supervision," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).

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