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The Benefits of Truck Platooning with an Increasing Market Penetration: A Case Study in Japan

Author

Listed:
  • Yifeng Han

    (Department of Transdisciplinary Science and Engineering, Tokyo Institute of Technology, Tokyo 152-8550, Japan)

  • Tomoya Kawasaki

    (Department of Systems Innovation, The University of Tokyo, Tokyo 113-8656, Japan)

  • Shinya Hanaoka

    (Department of Transdisciplinary Science and Engineering, Tokyo Institute of Technology, Tokyo 152-8550, Japan)

Abstract

Truck platooning can potentially reduce carbon emissions caused by the road freight sector because fuel consumption would be reduced when trucks travel in a platoon. While research about the coordination and benefits of truck platooning is underway, the high costs of such technology suggest it will be several years before significant market penetration is achieved. In this study, we develop an improved mixed-integer linear programming model to optimize the formation and route of truck platooning. Then the model is applied to Japanese 10th logistic census data to estimate the benefits and formation pattern of truck platooning with the increase in the market penetration of platooning technologies. The results of the numerical calculations indicate that the largest total cost saving rate, matching rate and fuel saving rate are 1.15%, 57% and 5.7%, respectively. These three rates were all found to increase at first and then decrease as more and more trucks become platoonable, implying that truck platooning is profitable even in the initial stage and that not all trucks are suited to joining a platoon. Furthermore, several scenarios, including a discount on toll fees and different inter-vehicle distances, are considered to determine the effect of these factors on the benefits of truck platooning.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9351-:d:876202
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    References listed on IDEAS

    as
    1. 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.
    2. Bhoopalam, Anirudh Kishore & Agatz, Niels & Zuidwijk, Rob, 2018. "Planning of truck platoons: A literature review and directions for future research," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 212-228.
    3. Abdolmaleki, Mojtaba & Shahabi, Mehrdad & Yin, Yafeng & Masoud, Neda, 2021. "Itinerary planning for cooperative truck platooning," Transportation Research Part B: Methodological, Elsevier, vol. 153(C), pages 91-110.
    4. repec:cdl:itsrrp:qt6jr154q9 is not listed on IDEAS
    5. Noruzoliaee, Mohamadhossein & Zou, Bo & Zhou, Yan (Joann), 2021. "Truck platooning in the U.S. national road network: A system-level modeling approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    6. repec:cdl:itsrrp:qt29v570mm is not listed on IDEAS
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