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The Vehicle Scheduling Problem for Fleets with Alternative-Fuel Vehicles

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  • Jonathan D. Adler

    (School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, Arizona 85281)

  • Pitu B. Mirchandani

    (School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, Arizona 85281)

Abstract

Alternative-fuel vehicles are gaining popularity as a mode of transit, and research is being done into how current infrastructure can accommodate them. The problem of vehicle scheduling consists of assigning a fleet of vehicles to service a given set of trips with start and end times. Vehicle scheduling changes when alternative-fuel vehicles are used since the vehicles can carry only a limited amount of fuel and can refuel only at fixed locations. This paper presents the alternative-fuel multiple depot vehicle scheduling problem, a modification of the standard multiple depot vehicle scheduling problem where there is a given set of fueling stations and a fuel capacity for the vehicles. The problem is formally defined and formulated as an integer program, and a branch-and-price algorithm is proposed to solve the problem. A heuristic solution is also presented, and both are tested on randomly generated data and data on the Valley Metro bus network in the Phoenix, Arizona, metropolitan area.

Suggested Citation

  • Jonathan D. Adler & Pitu B. Mirchandani, 2017. "The Vehicle Scheduling Problem for Fleets with Alternative-Fuel Vehicles," Transportation Science, INFORMS, vol. 51(2), pages 441-456, May.
    • Handle: RePEc:inm:ortrsc:v:51:y:2017:i:2:p:441-456
    DOI: 10.1287/trsc.2015.0615
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    References listed on IDEAS

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    1. Desaulniers, Guy & Lavigne, June & Soumis, Francois, 1998. "Multi-depot vehicle scheduling problems with time windows and waiting costs," European Journal of Operational Research, Elsevier, vol. 111(3), pages 479-494, December.
    2. Ingmar Steinzen & Vitali Gintner & Leena Suhl & Natalia Kliewer, 2010. "A Time-Space Network Approach for the Integrated Vehicle- and Crew-Scheduling Problem with Multiple Depots," Transportation Science, INFORMS, vol. 44(3), pages 367-382, August.
    3. Haghani, Ali & Banihashemi, Mohamadreza, 2002. "Heuristic approaches for solving large-scale bus transit vehicle scheduling problem with route time constraints," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(4), pages 309-333, May.
    4. Celso C. Ribeiro & François Soumis, 1994. "A Column Generation Approach to the Multiple-Depot Vehicle Scheduling Problem," Operations Research, INFORMS, vol. 42(1), pages 41-52, February.
    5. Cynthia Barnhart & Ellis L. Johnson & George L. Nemhauser & Martin W. P. Savelsbergh & Pamela H. Vance, 1998. "Branch-and-Price: Column Generation for Solving Huge Integer Programs," Operations Research, INFORMS, vol. 46(3), pages 316-329, June.
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    Cited by:

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    3. Wu, Weitiao & Lin, Yue & Liu, Ronghui & Jin, Wenzhou, 2022. "The multi-depot electric vehicle scheduling problem with power grid characteristics," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 322-347.
    4. Perumal, S.S.G. & Dollevoet, T.A.B. & Huisman, D. & Lusby, R.M. & Larsen, J. & Riis, M., 2020. "Solution Approaches for Vehicle and Crew Scheduling with Electric Buses," Econometric Institute Research Papers EI-2020-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Zhou, Yu & Wang, Hua & Wang, Yun & Yu, Bin & Tang, Tianpei, 2024. "Charging facility planning and scheduling problems for battery electric bus systems: A comprehensive review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    6. Battaïa, Olga & Dolgui, Alexandre & Guschinsky, Nikolai & Kovalyov, Mikhail Y., 2023. "Designing fast-charge urban electric bus services: An Integer Linear Programming model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    7. Diefenbach, Heiko & Emde, Simon & Glock, Christoph H., 2023. "Multi-depot electric vehicle scheduling in in-plant production logistics considering non-linear charging models," European Journal of Operational Research, Elsevier, vol. 306(2), pages 828-848.
    8. Guschinsky, Nikolai & Kovalyov, Mikhail Y. & Pesch, Erwin & Rozin, Boris, 2023. "Cost minimizing decisions on equipment and charging schedule for electric buses in a single depot," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).

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