Large-Scale Vehicle Platooning: Advances and Challenges in Scheduling and Planning Techniques

Through vehicle-to-vehicle (V2V) communication, autonomizing a vehicle platoon can significantly reduce the distance between vehicles, thereby reducing air resistance and improving road traffic efficiency. The gradual maturation of platoon control technology is enabling vehicle platoons to achieve basic driving functions, thereby permitting large-scale vehicle platoon scheduling and planning, which is essential for industrialized platoon applications and generates significant economic benefits. Scheduling and planning are required in many aspects of vehicle platoon operation; here, the authors outline the advantages and challenges of a number of the most important applications, including platoon formation scheduling, lane-change planning, passing traffic light scheduling, and vehicle resource allocation. This paper’s primary objective is to integrate current independent platoon scheduling and planning techniques into an integrated architecture to meet the demands of large-scale platoon applications. To this end, the authors first summarize the general techniques of vehicle platoon scheduling and planning, then list the primary scenarios for scheduling and planning technique application, and finally discuss current challenges and future development trends in platoon scheduling and planning. The authors hope that this paper can encourage related platoon researchers to conduct more systematic research and integrate multiple platoon scheduling and planning technologies and applications.

• Record URL:
  https://doi.org/10.1016/j.eng.2023.01.012
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S2095809923001558
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/20958099
• Supplemental Notes:
  • © 2023 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company. Abstract reprinted with permission of Elsevier.
• Authors:
  • Hou, Jing
  • Chen, Guang
  • 0000-0002-7416-592X
  • Huang, Jin
  • Qiao, Yingjun
  • Xiong, Lu
  • Wen, Fuxi
  • 0000-0003-3686-1446
  • Knoll, Alois
  • Jiang, Changjun
• Publication Date: 2023-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 26-48
• Serial:
  • Engineering
  • Volume: 28
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2095-8099
  • Serial URL: https://www.sciencedirect.com/journal/engineering

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Connected vehicles; Scheduling; Traffic control; Traffic platooning; Vehicle to vehicle communications
• Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01896320
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 17 2023 9:16AM