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Multiline Bus Bunching Control via Vehicle Substitution

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  • Petit, Antoine
  • Lei, Chao
  • Ouyang, Yanfeng

Abstract

Traditional bus bunching control methods (e.g., adding slack to schedules, adapting cruising speed), in one way or another, trade commercial speed for better system stability and, as a result, may impose the burden of additional travel time on passengers. Recently, a dynamic bus substitution strategy, where standby buses are dispatched to take over service from late/early buses, was proposed as an attempt to enhance system reliability without sacrificing too much passenger experience. This paper further studies this substitution strategy in the context of multiple bus lines under either time-independent or time-varying settings. In the latter scenario, the fleet of standby buses can be dynamically utilized to save on opportunity costs. We model the agency’s substitution decisions and retired bus repositioning decisions as a stochastic dynamic program so as to obtain the optimal policy that minimizes the system-wide costs. Numerical results show that the dynamic substitution strategy can benefit from the “economies of scale” by pooling the standby fleet across lines, and there are also benefits from dynamic fleet management when transit demand varies over time. Numerical examples are presented to illustrate the applicability and advantage of the proposed strategy. The substitution strategy not only holds the promise to outperform traditional holding methods in terms of reducing passenger costs, they also can be used to complement other methods to better control very unstable systems.

Suggested Citation

  • Petit, Antoine & Lei, Chao & Ouyang, Yanfeng, 2019. "Multiline Bus Bunching Control via Vehicle Substitution," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 68-86.
  • Handle: RePEc:eee:transb:v:126:y:2019:i:c:p:68-86
    DOI: 10.1016/j.trb.2019.05.009
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    References listed on IDEAS

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    2. van Lieshout, Rolf N. & Bouman, Paul C. & van den Akker, Marjan & Huisman, Dennis, 2021. "A self-organizing policy for vehicle dispatching in public transit systems with multiple lines," Transportation Research Part B: Methodological, Elsevier, vol. 152(C), pages 46-64.
    3. Zhou, Chang & Tian, Qiong & Wang, David Z.W., 2022. "A novel control strategy in mitigating bus bunching: Utilizing real-time information," Transport Policy, Elsevier, vol. 123(C), pages 1-13.
    4. Liping Ge & Stefan Voß & Lin Xie, 2022. "Robustness and disturbances in public transport," Public Transport, Springer, vol. 14(1), pages 191-261, March.
    5. van Lieshout, R.N. & Bouman, P.C. & van den Akker, M. & Huisman, D., 2020. "A Self-Organizing Policy for Vehicle Dispatching in Public Transit Systems with Multiple Lines," Econometric Institute Research Papers EI2020-06, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Wang, Yineng & Li, Meng & Lin, Xi & He, Fang, 2021. "Online operations strategies for automated multistory parking facilities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).

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