IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i15p9351-d876202.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/15/9351/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/15/9351/
    Download Restriction: no
    ---><---

    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. Hammache, Mustapha & Michaelian, Mark & Browand, Fred, 2001. "Aerodynamic Forces on Truck Models, Including Two Trucks in Tandem," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6jr154q9, Institute of Transportation Studies, UC Berkeley.
    3. 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.
    4. Browand, Fred & McArthur, John & Radovich, Charles, 2004. "Fuel Saving Achieved in the Field Test of Two Tandem Trucks," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt29v570mm, Institute of Transportation Studies, UC Berkeley.
    5. 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.
    6. 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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Barua, Limon & Zou, Bo & Choobchian, Pooria, 2023. "Maximizing truck platooning participation with preferences," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    2. Huailei Cheng & Yuhong Wang & Dan Chong & Chao Xia & Lijun Sun & Jenny Liu & Kun Gao & Ruikang Yang & Tian Jin, 2023. "Truck platooning reshapes greenhouse gas emissions of the integrated vehicle-road infrastructure system," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    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. Chen, Shukai & Wang, Hua & Meng, Qiang, 2023. "Cost allocation of cooperative autonomous truck platooning: Efficiency and stability analysis," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 119-141.
    5. Hu, Qiaolin & Gu, Weihua & Wu, Lingxiao & Zhang, Le, 2024. "Optimal autonomous truck platooning with detours, nonlinear costs, and a platoon size constraint," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
    6. Chen, Shukai & Wang, Hua & Meng, Qiang, 2021. "Autonomous truck scheduling for container transshipment between two seaport terminals considering platooning and speed optimization," Transportation Research Part B: Methodological, Elsevier, vol. 154(C), pages 289-315.
    7. Boysen, Nils & Briskorn, Dirk & Schwerdfeger, Stefan, 2018. "The identical-path truck platooning problem," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 26-39.
    8. Liatsos, Vasileios & Golias, Mihalis & Hourdos, John & Mishra, Sabyasachee, 2024. "The capacitated hybrid truck platooning network design problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    9. Bridgelall, Raj & Patterson, Douglas A. & Tolliver, Denver D., 2020. "Policy implications of truck platooning and electrification," Energy Policy, Elsevier, vol. 139(C).
    10. Bouchery, Yann & Hezarkhani, Behzad & Stauffer, Gautier, 2022. "Coalition formation and cost sharing for truck platooning," Transportation Research Part B: Methodological, Elsevier, vol. 165(C), pages 15-34.
    11. Władysław Marek Hamiga & Wojciech Bronisław Ciesielka, 2022. "Numerical Analysis of Aeroacoustic Phenomena Generated by Heterogeneous Column of Vehicles," Energies, MDPI, vol. 15(13), pages 1-37, June.
    12. Shladover, Steven & Barth, Matthew J & Zhang, Wei-Bin, 2011. "Engaging the International Community: Research on Intelligent Transportation Systems (ITS) Applications to Improve Environmental Performance," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4fn6f906, Institute of Transportation Studies, UC Berkeley.
    13. Erik Karger & Marvin Jagals & Frederik Ahlemann, 2021. "Blockchain for Smart Mobility—Literature Review and Future Research Agenda," Sustainability, MDPI, vol. 13(23), pages 1-32, November.
    14. Hatzenbühler, Jonas & Jenelius, Erik & Gidófalvi, Gyözö & Cats, Oded, 2023. "Modular vehicle routing for combined passenger and freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    15. 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).
    16. Sindi, Safaa & Woodman, Roger, 2021. "Implementing commercial autonomous road haulage in freight operations: An industry perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 235-253.
    17. Song, Ruidian & Zhao, Lei & Van Woensel, Tom & Fransoo, Jan C., 2019. "Coordinated delivery in urban retail," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 122-148.
    18. Ramirez Ibarra, Monica & Saphores, Jean-Daniel M., 2023. "1,000 HP electric drayage trucks as a substitute for new freeway lanes construction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
    19. Kishore Bhoopalam, A. & van den Berg, R. & Agatz, N.A.H. & Chorus, C.G., 2021. "The long road to automated trucking: Insights from driver focus groups," ERIM Report Series Research in Management ERS-2021-003-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    20. Chen, Rui & Meng, Qiang & Jia, Peng, 2022. "Container port drayage operations and management: Past and future," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9351-:d:876202. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.