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An Analytical Approach for Facility Location for Truck Platooning—A Case Study of an Unmanned Following Truck Platooning System in Japan

Author

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  • Daisuke Watanabe

    (Department of Logistics and Information Engineering, Tokyo University of Marine Science and Technology, 2-1-6 Etchujima, Koto-ku, Tokyo 135-8533, Japan)

  • Takeshi Kenmochi

    (Transport and Socioeconomic Research Division, The Institute of Behavioral Sciences, 2-9 Ichigayahonmura-cho, Shinjuku-ku, Tokyo 162-0845, Japan)

  • Keiju Sasa

    (Urban and Regional Planning Research Division, The Institute of Behavioral Sciences, 2-9 Ichigayahonmura-cho, Shinjuku-ku, Tokyo 162-0845, Japan)

Abstract

Truck platooning involves a small convoy of freight vehicles using electronic coupling as an application in automated driving technology, and it is expected to represent a major solution for improving efficiency in truck transportation in the near future. Recently, there have been several trials regarding truck platooning with major truck manufacturers and logistics companies on public roads in the United States, European countries and Japan. There is a need to locate a facility for the formation of truck platooning to realize the unmanned operation of trucks following in a platoon. In this study, we introduce the current status of truck platooning in Japan and present the optimal location model for truck platooning using the continuous approximation model with a numerical experiment, considering the case in Japan. We derived the optimal locational strategy for the combination of the long-haul ratio and the cost factor of platooning. With parameters estimated for several scenarios for the deployment of truck platooning in Japan, the numerical results show that the optimal locational strategy for a platoon of manned vehicles and a platoon with unmanned following vehicles is the edge of the local region, and that for a platoon of fully automated vehicles is the center of the region.

Suggested Citation

  • Daisuke Watanabe & Takeshi Kenmochi & Keiju Sasa, 2021. "An Analytical Approach for Facility Location for Truck Platooning—A Case Study of an Unmanned Following Truck Platooning System in Japan," Logistics, MDPI, vol. 5(2), pages 1-15, May.
    • Handle: RePEc:gam:jlogis:v:5:y:2021:i:2:p:27-:d:549897
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    References listed on IDEAS

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    Cited by:

    1. Dukkanci, Okan & Campbell, James F. & Kara, Bahar Y., 2024. "Facility location decisions for drone delivery: A literature review," European Journal of Operational Research, Elsevier, vol. 316(2), pages 397-418.
    2. Yifeng Han & Tomoya Kawasaki & Shinya Hanaoka, 2022. "The Benefits of Truck Platooning with an Increasing Market Penetration: A Case Study in Japan," Sustainability, MDPI, vol. 14(15), pages 1-15, July.
    3. Benjamin Nitsche, 2021. "Exploring the Potentials of Automation in Logistics and Supply Chain Management: Paving the Way for Autonomous Supply Chains," Logistics, MDPI, vol. 5(3), pages 1-9, August.

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