Hierarchical and game-theoretic decision-making for connected and automated vehicles in overtaking scenarios

This paper presents a hierarchical and game-theoretic decision-making strategy for connected and automated vehicles (CAVs). A CAV can receive preview information using vehicle-to-everything (V2X) communication systems, and the optimal short- and long-term trajectory can be planned using this information. Specifically, in this study, the aggressiveness of all preceding vehicles in the car-following scenario can be estimated globally by monitoring the history of their time-series behaviors, before the CAV initiates a particular action, which is performed at the upper layer of the proposed decision-making structure. If it is determined that initiating a specific action is advantageous, the action is initiated, and the CAV then interacts with the vehicles locally to achieve its driving goal in a game-theoretical manner at the lower layer. In multiple test scenarios, the authors demonstrate the usefulness of their approach compared to the conventional decision-making approaches, and it shows a significant improvement in terms of success rates.

• Record URL:
  https://doi.org/10.1016/j.trc.2023.104109
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0968090X23000980
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
• Supplemental Notes:
  • © 2023 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Ji, Kyoungtae
  • Li, Nan
  • 0000-0001-7928-8796
  • Orsag, Matko
  • Han, Kyoungseok
  • 0000-0002-4986-2053
• Publication Date: 2023-5

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 104109
• Serial:
  • Transportation Research Part C: Emerging Technologies
  • Volume: 150
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0968-090X
  • Serial URL: http://www.sciencedirect.com/science/journal/0968090X

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Connected vehicles; Decision making; Game theory; Passing
• Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01889932
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 13 2023 6:06PM