Cost allocation of cooperative autonomous truck platooning: Efficiency and stability analysis

This study investigates the cost allocation of cooperative autonomous truck (AT) platooning among carriers. Motivated by the fuel consumption saving from truck platooning, carriers can collaborate for creating more platooning opportunities in an alliance. The formation of carrier alliance is associated with two key conditions: (i) efficiency: the total cost is allocated to each carrier without a budget deficit, and (ii) stability: all carriers find it beneficial to stay in the grand alliance and do not form sub-alliance. Since an alliance satisfying these two conditions may not always exist, the authors aim to find a cost allocation such that the violation of efficiency and stability conditions is minimized. The authors first propose a cooperative AT platooning problem for a trade-off between fuel consumption savings and schedule deviation cost. Then, they model the problem as a cooperative AT platooning game and formulate cost allocation models. The exact row-generation solution method is developed to computationally calculate the cost allocation. Extensive numerical experiments demonstrate the properties of proposed models and the effectiveness of solution methods. The results show that the developed row-generation solution method can solve the instances of up to 100 requests and 20 carriers within a two-hour time limit, and the schedule deviation coefficients significantly impact the performance of optimal cost allocation.

• Record URL:
  • https://doi.org/10.1016/j.trb.2023.04.008
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0191261523000711
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01912615
• Supplemental Notes:
  • © 2023 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Chen, Shukai
  • 0000-0001-5089-9657
  • Wang, Hua
  • Meng, Qiang
  • 0000-0003-4507-8947
• Publication Date: 2023-7

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 119-141
• Serial:
  • Transportation Research Part B: Methodological
  • Volume: 173
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0191-2615
  • Serial URL: http://www.sciencedirect.com/science/journal/01912615

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Cost allocation; Fuel consumption; Schedule maintenance; Traffic platooning; Trucks
• Subject Areas: Economics; Motor Carriers;

Filing Info

• Accession Number: 01885991
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 25 2023 5:50PM