A comparative study of state-of-the-art driving strategies for autonomous vehicles

The autonomous vehicle is regarded as a promising technology with the potential to reshape mobility and solve many traffic issues, such as accessibility, efficiency, convenience, and especially safety. Many previous studies on driving strategies mainly focused on the low-level detailed driving behaviors or specific traffic scenarios but lacked the high-level driving strategy studies. Though researchers showed increasing interest in driving strategies, there still has no comprehensive answer on how to proactively implement safe driving. After analyzing several representative driving strategies, the authors propose three characteristic dimensions that are important to measure driving strategies: preferred objective, risk appetite, and collaborative manner. According to these three characteristic dimensions, the authors categorize existing driving strategies of autonomous vehicles into four kinds: defensive driving strategies, competitive driving strategies, negotiated driving strategies, and cooperative driving strategies. This paper provides a timely comparative review of these four strategies and highlights the possible directions for improving the high-level driving strategy design.

• Record URL:
  https://doi.org/10.1016/j.aap.2020.105937
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0001457520317577
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00014575
• Supplemental Notes:
  • © 2020 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Zhao, Can
  • Li, Li
  • 0000-0002-9428-1960
  • Pei, Xin
  • Li, Zhiheng
  • 0000-0002-1523-1114
  • Wang, Fei-Yue
  • Wu, Xiangbin
• Publication Date: 2021-2

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 105937
• Serial:
  • Accident Analysis & Prevention
  • Volume: 150
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0001-4575
  • Serial URL: http://www.sciencedirect.com/science/journal/00014575

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Driving; Intelligent vehicles; Level 4 driving automation; Level 5 driving automation; Vehicle design
• Subject Areas: Design; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01762095
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 11 2021 11:08AM