• DocumentCode
    185152
  • Title

    Stability analysis of connected cruise control with stochastic delays

  • Author

    Qin, Wubing B. ; Gomez, Marcella M. ; Orosz, Gabor

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    4624
  • Lastpage
    4629
  • Abstract
    In this paper we investigate the concept of connected cruise control (CCC) where vehicles rely on ad-hoc wireless vehicle-to-vehicle (V2V) communication to control their longitudinal motion. While V2V communication potentially allows vehicles to build detailed knowledge about the traffic environment, intermittencies and packet drops introduce stochastic delays into the communication channels that make control very challenging. Moreover, while communication and control occurs in discrete time, vehicle dynamics still takes place in continuous time. We convert the dynamics to discrete time and analyze the effects of stochastic delays on vehicular platoons. We derive plant and string stability conditions for the mean dynamics and show how the stable regimes shrink when the sampling time or the packet drop ratio increases. Our results have important implications regarding safety and efficiency of connected vehicle systems.
  • Keywords
    automobiles; delays; discrete time systems; motion control; road traffic control; stability; vehicular ad hoc networks; V2V communication; ad-hoc wireless vehicle-to-vehicle communication; connected cruise control; connected vehicle systems; discrete time; longitudinal motion control; packet drop ratio; plant stability conditions; sampling time; stability analysis; stochastic delays; string stability conditions; vehicle dynamics; vehicular platoons; Asymptotic stability; Delays; Lead; Numerical stability; Stability analysis; Vehicle dynamics; Vehicles; Delay systems; Stochastic systems; Wireless;
  • 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.2014.6859490
  • Filename
    6859490