Game-Theoretic Modeling of Traffic in Unsignalized Intersection Network for Autonomous Vehicle Control Verification and Validation

For a foreseeable future, autonomous vehicles (AVs) will operate in traffic together with human-driven vehicles. Their planning and control systems need extensive testing, including early-stage testing in simulations where the interactions among autonomous/human-driven vehicles are represented. Motivated by the need for such simulation tools, the authors propose a game-theoretic approach to modeling vehicle interactions, in particular, for urban traffic environments with unsignalized intersections. The authors develop traffic models with heterogeneous (in terms of their driving styles) and interactive vehicles based on our proposed approach, and use them for virtual testing, evaluation, and calibration of AV control systems. For illustration, the authors consider two AV control approaches, analyze their characteristics and performance based on the simulation results with the developed traffic models, and optimize the parameters of one of them.

• Record URL:
  http://dx.doi.org/10.1109/TITS.2020.3035363
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Copyright © 2022, IEEE.
• Authors:
  • Tian, Ran
  • 0000-0002-5679-3666
  • Li, Nan
  • 0000-0001-7928-8796
  • Kolmanovsky, Ilya
  • 0000-0002-7225-4160
  • Yildiz, Yildiray
  • 0000-0001-6270-5354
  • Girard, Anouck R
• Publication Date: 2022-3

Language

• English

Media Info

• Media Type: Web
• Features: Figures; Tables;
• Pagination: pp 2211-2226
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 23
  • Issue Number: 3
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Game theory; Simulation; Unsignalized intersections; Vehicle mix
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01847311
• Record Type: Publication
• Files: TRIS
• Created Date: May 26 2022 9:11AM