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Electric bus scheduling under single depot dynamic wireless charging infrastructure planning

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  • Alwesabi, Yaseen
  • Wang, Yong
  • Avalos, Raul
  • Liu, Zhaocai

Abstract

The use of electric bus fleets has become a topical issue in recent years. This paper aims to analyze strategic bus fleet scheduling and dynamic wireless charging (DWC) planning problems based on data obtained from the transportation center at Binghamton University. More precisely, we have developed a mixed-integer mathematical model to simultaneously select the optimal location of the DWC facilities and find the optimal battery sizes of electric buses (EBs) for the system. This DWC planning model allows all the system’s EBs to travel the common routes (depot-base station-depot) safely despite their different optimal battery sizes. Additionally, we have developed a scheduling model to find the optimal number of EBs by considering the additional charging time and battery size restrictions. To allow organizations to determine bus replacement plans that will meet their fleet electrification targets in a cost-effective way, we have introduced joint and disjoint scheduling planning strategies for the current conventional bus fleet and a potential EB fleet. Further, we have reformulated the DWC model so an EB can serve several routes with uniform battery size. The results show that the joint scheduling with one optimal battery size is more cost-effective than disjoint scheduling with route-specific battery sizes.

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  • Alwesabi, Yaseen & Wang, Yong & Avalos, Raul & Liu, Zhaocai, 2020. "Electric bus scheduling under single depot dynamic wireless charging infrastructure planning," Energy, Elsevier, vol. 213(C).
    • Handle: RePEc:eee:energy:v:213:y:2020:i:c:s0360544220319629
    DOI: 10.1016/j.energy.2020.118855
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    References listed on IDEAS

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    Cited by:

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    8. Alwesabi, Yaseen & Liu, Zhaocai & Kwon, Soongeol & Wang, Yong, 2021. "A novel integration of scheduling and dynamic wireless charging planning models of battery electric buses," Energy, Elsevier, vol. 230(C).
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    10. 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).
    11. 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).
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    15. Manzolli, Jônatas Augusto & Trovão, João Pedro & Antunes, Carlos Henggeler, 2022. "A review of electric bus vehicles research topics – Methods and trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    16. Naihui Wang & Yulong Pei & Yi-Jia Wang, 2022. "Antecedents in Determining Users’ Acceptance of Electric Shuttle Bus Services," Mathematics, MDPI, vol. 10(16), pages 1-19, August.
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    18. Wang, Yun & Zhou, Yu & Yan, Xuedong, 2024. "Reliable dynamic wireless charging infrastructure deployment problem for public transport services," European Journal of Operational Research, Elsevier, vol. 313(2), pages 747-766.
    19. Vitalii Naumov, 2021. "Substantiation of Loading Hub Location for Electric Cargo Bikes Servicing City Areas with Restricted Traffic," Energies, MDPI, vol. 14(4), pages 1-16, February.
    20. Kayhan Alamatsaz & Sadam Hussain & Chunyan Lai & Ursula Eicker, 2022. "Electric Bus Scheduling and Timetabling, Fast Charging Infrastructure Planning, and Their Impact on the Grid: A Review," Energies, MDPI, vol. 15(21), pages 1-39, October.
    21. Yiming Bie & Mingjie Hao & Mengzhu Guo, 2021. "Optimal Electric Bus Scheduling Based on the Combination of All-Stop and Short-Turning Strategies," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    22. He, Yi & Liu, Zhaocai & Zhang, Yiming & Song, Ziqi, 2023. "Time-dependent electric bus and charging station deployment problem," Energy, Elsevier, vol. 282(C).

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