• DocumentCode
    184549
  • Title

    Supervisory control for intersection collision avoidance in the presence of uncontrolled vehicles

  • Author

    Ahn, Hyo-Sung ; Colombo, Alessandro ; Del Vecchio, Domitilla

  • Author_Institution
    Dept. of Mech. Eng., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    867
  • Lastpage
    873
  • Abstract
    This paper describes the design of a supervisory controller (supervisor) that manages controlled vehicles to avoid intersection collisions in the presence of uncontrolled vehicles. Two main problems are addressed: verification of the safety of all vehicles at an intersection, and management of the inputs of controlled vehicles. For the verification problem, we employ an inserted idle-time scheduling approach, where the “inserted idle-time” is a time interval when the intersection is deliberately held idle for uncontrolled vehicles to safely cross the intersection. For the management problem, we design a supervisor that is least restrictive in the sense that it overrides controlled vehicles only when a safety violation becomes imminent. We analyze computational complexity and propose an efficient version of the supervisor with a quantified approximation bound.
  • Keywords
    approximation theory; collision avoidance; computational complexity; road safety; road vehicles; scheduling; computational complexity analysis; controlled vehicle input management; inserted idle-time scheduling approach; inserted supervisory control; intersection collision avoidance; quantified approximation bound; safety violation; uncontrolled vehicles; vehicle safety verification; Algorithm design and analysis; Collision avoidance; Safety; Schedules; Scheduling; Vehicle dynamics; Vehicles; Autonomous systems; Hybrid systems; Supervisory control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6859163
  • Filename
    6859163