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Energy-Optimized Routing of Electric Vehicles in Urban Delivery Systems

In: Operations Research Proceedings 2012

Author

Listed:
  • Henning Preis

    (Dresden University of Technology)

  • Stefan Frank

    (Dresden University of Technology)

  • Karl Nachtigall

    (Dresden University of Technology)

Abstract

Battery electric vehicles seem to offer great opportunities in context with ecological compatibility of urban transport systems. Along with the technical innovations appropriate operating models are required. In this contribution we propose an extension of the Vehicle Routing Problem, which adapts most of the needs for operating electric vehicles. This includes an objective function that considers energy consumption depending on driving resistances and loading weight, as well as additional restrictions to handle the maximum range depending on battery capacity and recharging options. To illustrate the problem a set of test instances is solved. For this purpose we present an adapted tabu search heuristics. The results are analyzed in respect of changes compared to distance-based optimization and the influence of battery capacity.

Suggested Citation

  • Henning Preis & Stefan Frank & Karl Nachtigall, 2014. "Energy-Optimized Routing of Electric Vehicles in Urban Delivery Systems," Operations Research Proceedings, in: Stefan Helber & Michael Breitner & Daniel Rösch & Cornelia Schön & Johann-Matthias Graf von der Schu (ed.), Operations Research Proceedings 2012, edition 127, pages 583-588, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-00795-3_87
    DOI: 10.1007/978-3-319-00795-3_87
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    Citations

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    Cited by:

    1. 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.
    2. 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).
    3. Hamid R. Sayarshad & Vahid Mahmoodian & Nebojša Bojović, 2021. "Dynamic Inventory Routing and Pricing Problem with a Mixed Fleet of Electric and Conventional Urban Freight Vehicles," Sustainability, MDPI, vol. 13(12), pages 1-16, June.
    4. Goeke, Dominik, 2019. "Granular tabu search for the pickup and delivery problem with time windows and electric vehicles," European Journal of Operational Research, Elsevier, vol. 278(3), pages 821-836.
    5. Rui Chen & Xinglu Liu & Lixin Miao & Peng Yang, 2020. "Electric Vehicle Tour Planning Considering Range Anxiety," Sustainability, MDPI, vol. 12(9), pages 1-17, May.
    6. Goeke, D. & Schneider, M., 2015. "Routing a Mixed Fleet of Electric and Conventional Vehicles," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 65939, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    7. Samuel Pelletier & Ola Jabali & Gilbert Laporte, 2016. "50th Anniversary Invited Article—Goods Distribution with Electric Vehicles: Review and Research Perspectives," Transportation Science, INFORMS, vol. 50(1), pages 3-22, February.
    8. Goeke, Dominik & Schneider, Michael, 2015. "Routing a mixed fleet of electric and conventional vehicles," European Journal of Operational Research, Elsevier, vol. 245(1), pages 81-99.
    9. Pelletier, Samuel & Jabali, Ola & Laporte, Gilbert & Veneroni, Marco, 2017. "Battery degradation and behaviour for electric vehicles: Review and numerical analyses of several models," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 158-187.
    10. Pelletier, Samuel & Jabali, Ola & Laporte, Gilbert, 2019. "The electric vehicle routing problem with energy consumption uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 225-255.
    11. Roberti, R. & Wen, M., 2016. "The Electric Traveling Salesman Problem with Time Windows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 32-52.
    12. 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.
    13. Pelletier, Samuel & Jabali, Ola & Laporte, Gilbert, 2018. "Charge scheduling for electric freight vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 115(C), pages 246-269.

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