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Energy vehicle routing problem for differently sized and powered vehicles

Author

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  • Herbert Kopfer

    (University of Bremen)

  • Benedikt Vornhusen

    (University of Bremen)

Abstract

Electric vehicles (EVs) and combustion-powered vehicles (CVs) differ substantially with respect to several characteristic factors that have major impacts on vehicle routing. EVs are more energy efficient than CVs, but they have a shorter driving range, and compared to CVs with the same gross weight, they have a lower payload. In this paper, various vehicle fleets with differently sized EVs and CVs are considered for vehicle routing. First, EVs are opposed to CVs. Second, the effect of increasing the battery capacity of EVs is investigated. Third, the impact of introducing recharge stations for EVs is analyzed. Finally, the characteristics of mixed fleets are investigated. The computational results are generated by solving a MIP formulation of the introduced Energy Vehicle Routing Problem with Time Windows, Recharge Stations and Vehicle Classes (EVRPTW-R-VC) by means of a commercial solver.

Suggested Citation

  • Herbert Kopfer & Benedikt Vornhusen, 2019. "Energy vehicle routing problem for differently sized and powered vehicles," Journal of Business Economics, Springer, vol. 89(7), pages 793-821, September.
    • Handle: RePEc:spr:jbecon:v:89:y:2019:i:7:d:10.1007_s11573-018-0910-z
    DOI: 10.1007/s11573-018-0910-z
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    Cited by:

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    2. Singh, Nitish & Dang, Quang-Vinh & Akcay, Alp & Adan, Ivo & Martagan, Tugce, 2022. "A matheuristic for AGV scheduling with battery constraints," European Journal of Operational Research, Elsevier, vol. 298(3), pages 855-873.
    3. Amin Aghalari & Darweesh Ehssan Salamah & Carlos Marino & Mohammad Marufuzzaman, 2023. "Electric vehicles fast charger location-routing problem under ambient temperature," Annals of Operations Research, Springer, vol. 324(1), pages 721-759, May.
    4. Toheed Ghandriz & Bengt Jacobson & Manjurul Islam & Jonas Hellgren & Leo Laine, 2021. "Transportation-Mission-Based Optimization of Heterogeneous Heavy-Vehicle Fleet Including Electrified Propulsion," Energies, MDPI, vol. 14(11), pages 1-43, May.
    5. Sina Rastani & Bülent Çatay, 2023. "A large neighborhood search-based matheuristic for the load-dependent electric vehicle routing problem with time windows," Annals of Operations Research, Springer, vol. 324(1), pages 761-793, May.
    6. Garside, Annisa Kesy & Ahmad, Robiah & Muhtazaruddin, Mohd Nabil Bin, 2024. "A recent review of solution approaches for green vehicle routing problem and its variants," Operations Research Perspectives, Elsevier, vol. 12(C).

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    JEL classification:

    • C0 - Mathematical and Quantitative Methods - - General
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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