• DocumentCode
    114598
  • Title

    Polling-systems-based control of high-performance provably-safe autonomous intersections

  • Author

    Miculescu, David ; Karaman, Sertac

  • Author_Institution
    Dept. of Aeronaut. & Astronaut., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    1417
  • Lastpage
    1423
  • Abstract
    The rapid development of autonomous vehicles spurred a careful investigation of the potential benefits of all-autonomous transportation networks. Most studies conclude that autonomous systems can enable drastic improvements in performance. A widely studied concept is all-autonomous, collision-free intersections, where vehicles arriving in a traffic intersection with no traffic light adjust their speeds to cross through the intersection as quickly as possible. In this paper, we propose a coordination control algorithm for this problem, assuming stochastic models for the arrival times of the vehicles. The proposed algorithm provides provable guarantees on safety and performance. More precisely, it is shown that no collisions occur surely, and moreover a rigorous upper bound is provided for the expected wait time. The algorithm is also demonstrated in simulations. The proposed algorithms are inspired by polling systems. In fact, the problem studied in this paper leads to a new polling system where customers are subject to differential constraints, which may be interesting in its own right.
  • Keywords
    mobile robots; road traffic control; road vehicles; stochastic processes; autonomous transportation networks; autonomous vehicles; collision-free intersections; coordination control algorithm; differential constraints; high-performance provably-safe autonomous intersections; polling-systems-based control; stochastic models; traffic intersection; Delays; Queueing analysis; Safety; Servers; Trajectory; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7039600
  • Filename
    7039600