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Locating replenishment stations for electric vehicles: application to Danish traffic data

Author

Listed:
  • Min Wen

    (The Technical University of Denmark, Kgs. Lyngby, Denmark)

  • Gilbert Laporte

    (CIRRELT and HEC, Montreal, Canada)

  • Oli B G Madsen

    (The Technical University of Denmark, Kgs. Lyngby, Denmark)

  • Anders V Nørrelund

    (The Technical University of Denmark, Kgs. Lyngby, Denmark)

  • Allan Olsen

    (The Technical University of Denmark, Kgs. Lyngby, Denmark)

Abstract

Environment-friendly electric vehicles have gained popularity and increased attention in recent years. The deployment of a network of recharging stations is essential given their limited travel range. This paper considers the problem of locating electronic replenishment stations for electric vehicles on a traffic network with flow-based demand. The objective is to optimize the network performance, for example to maximize the flow covered by a prefixed number of stations or to minimize the number of stations needed to cover traffic flows. Two integer linear programming formulations are proposed to model the problem. These models are tested on real-life traffic data collected in Denmark.

Suggested Citation

  • Min Wen & Gilbert Laporte & Oli B G Madsen & Anders V Nørrelund & Allan Olsen, 2014. "Locating replenishment stations for electric vehicles: application to Danish traffic data," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(10), pages 1555-1561, October.
    • Handle: RePEc:pal:jorsoc:v:65:y:2014:i:10:p:1555-1561
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    Cited by:

    1. Hernandez, Adrian & Ng, Max & Durango-Cohen, Pablo L. & Mahmassani, Hani S., 2024. "Optimizing service networks to support freight rail decarbonization: Flow selection, facility location, and energy sourcing," European Journal of Operational Research, Elsevier, vol. 317(3), pages 906-920.
    2. Sterle, Claudio & Sforza, Antonio & Esposito Amideo, Annunziata, 2016. "Multi-period location of flow intercepting portable facilities of an intelligent transportation system," Socio-Economic Planning Sciences, Elsevier, vol. 53(C), pages 4-13.
    3. Tran, Trung Hieu & Nagy, Gábor & Nguyen, Thu Ba T. & Wassan, Niaz A., 2018. "An efficient heuristic algorithm for the alternative-fuel station location problem," European Journal of Operational Research, Elsevier, vol. 269(1), pages 159-170.
    4. Hof, Julian & Schneider, Michael & Goeke, Dominik, 2017. "Solving the battery swap station location-routing problem with capacitated electric vehicles using an AVNS algorithm for vehicle-routing problems with intermediate stops," Transportation Research Part B: Methodological, Elsevier, vol. 97(C), pages 102-112.

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