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Electric vehicle routing problem with time windows, recharging stations and battery swapping stations

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  • Amit Verma

    (Missouri Western State University)

Abstract

Due to new environmental measures and targets for reducing emissions, many logistics companies have started adopting electric vehicles in their fleet for cargo delivery. They are increasingly becoming popular for last mile deliveries. However, due to their limited range, they require frequent visits to recharging stations while delivering products to customers along their route. Long recharging times at available stations can have an adverse impact on route planning especially when short delivery time windows are considered. Battery swapping has the potential to reduce recharging times by replacing the vehicles’ batteries with fully charged batteries. However, each battery swap is expensive than traditional recharging methods. In this paper, we present a variant of the Electric Vehicle Routing Problem with Time Windows and Recharging Stations by allowing the available stations to serve both as Recharging Stations (RSs) and Battery Swapping Stations (BSSs). To the best of our knowledge, this problem has not been previously addressed in the literature. A model and algorithm for this problem are presented, computational experiments are performed and insights regarding when consideration of BSSs are particularly useful are provided.

Suggested Citation

  • Amit Verma, 2018. "Electric vehicle routing problem with time windows, recharging stations and battery swapping stations," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 7(4), pages 415-451, December.
    • Handle: RePEc:spr:eurjtl:v:7:y:2018:i:4:d:10.1007_s13676-018-0136-9
    DOI: 10.1007/s13676-018-0136-9
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    References listed on IDEAS

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    Cited by:

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    2. Zilong Zhao & Daxin Tian & Xuting Duan & Randong Xiao, 2023. "Joint Optimization of Battery Swapping Scheduling for Electric Taxis," Sustainability, MDPI, vol. 15(18), pages 1-11, September.
    3. Wei Xu & Chenghao Zhang & Ming Cheng & Yucheng Huang, 2022. "Electric Vehicle Routing Problem with Simultaneous Pickup and Delivery: Mathematical Modeling and Adaptive Large Neighborhood Search Heuristic Method," Energies, MDPI, vol. 15(23), pages 1-25, December.
    4. Leandro do C. Martins & Rafael D. Tordecilla & Juliana Castaneda & Angel A. Juan & Javier Faulin, 2021. "Electric Vehicle Routing, Arc Routing, and Team Orienteering Problems in Sustainable Transportation," Energies, MDPI, vol. 14(16), pages 1-30, August.
    5. Erfan Ghorbani & Mahdi Alinaghian & Gevork. B. Gharehpetian & Sajad Mohammadi & Guido Perboli, 2020. "A Survey on Environmentally Friendly Vehicle Routing Problem and a Proposal of Its Classification," Sustainability, MDPI, vol. 12(21), pages 1-71, October.
    6. Mohammad Asghari & Seyed Mohammad Javad Mirzapour Al-E-Hashem, 2021. "Green vehicle routing problem: A state-of-the-art review," Post-Print hal-03182944, HAL.
    7. Asghari, Mohammad & Mirzapour Al-e-hashem, S. Mohammad J., 2021. "Green vehicle routing problem: A state-of-the-art review," International Journal of Production Economics, Elsevier, vol. 231(C).
    8. Snežana Tadić & Mladen Krstić & Ljubica Radovanović, 2024. "Assessing Strategies to Overcome Barriers for Drone Usage in Last-Mile Logistics: A Novel Hybrid Fuzzy MCDM Model," Mathematics, MDPI, vol. 12(3), pages 1-25, January.
    9. John Olsson & Daniel Hellström & Henrik Pålsson, 2019. "Framework of Last Mile Logistics Research: A Systematic Review of the Literature," Sustainability, MDPI, vol. 11(24), pages 1-25, December.
    10. Huibing Cheng & Shanshui Zheng, 2022. "Incentive Compensation Mechanism for the Infrastructure Construction of Electric Vehicle Battery Swapping Station under Asymmetric Information," Sustainability, MDPI, vol. 14(12), pages 1-18, June.
    11. Hongwen Han & Luxian Chen & Sitong Fang & Yang Liu, 2023. "The Routing Problem for Electric Truck with Partial Nonlinear Charging and Battery Swapping," Sustainability, MDPI, vol. 15(18), pages 1-29, September.
    12. Gonzalo A. Aranda-Corral & Miguel A. Rodríguez & Iñaki Fernández de Viana & María Isabel G. Arenas, 2021. "Genetic Hybrid Optimization of a Real Bike Sharing System," Mathematics, MDPI, vol. 9(18), pages 1-18, September.
    13. Zhang, Junxia & Li, Xingmei & Jia, Dongqing & Zhou, Yuexin, 2023. "A Bi-level programming for union battery swapping stations location-routing problem under joint distribution and cost allocation," Energy, Elsevier, vol. 272(C).

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