Enabling Safe Autonomous Driving in Real-World City Traffic Using Multiple Criteria Decision Making

This paper addresses the topic of real-time decisionmaking for autonomous city vehicles (i.e., the autonomous vehicle's ability to make appropriate driving decisions in city road traffic situations). The paper explains the overall control system architecture and the decisionmaking task decomposition, and focuses on how Multiple Criteria Decisionmaking (MCDM) is used in the process of selecting the most appropriate driving maneuver from the set of feasible ones. Experimental tests show that MCDM is suitable for this new application area.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/19391390
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Authors:
  • Furda, Andrei
  • Vlacic, Ljubo
• Publication Date: 2011

Language

• English

Media Info

• Media Type: Print
• Features: Figures; Photos; References; Tables;
• Pagination: pp 4-17
• Serial:
  • IEEE Intelligent Transportation Systems Magazine
  • Volume: 3
  • Issue Number: 1
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1939-1390
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5117645

Subject/Index Terms

• TRT Terms: Autonomous vehicle guidance; Intelligent transportation systems; Multiple criteria decision making; Real time control; System architecture; Traffic safety; Urban areas
• Subject Areas: Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01339923
• Record Type: Publication
• Files: TRIS
• Created Date: May 18 2011 10:51AM