• DocumentCode
    2695021
  • Title

    Vehicle traffic congestion management in vehicular ad-hoc networks

  • Author

    Mohandas, Brijesh Kadri ; Liscano, Ramiro ; Yang, Oliver W W

  • Author_Institution
    Sch. of Inf. Technol. & Eng., Univ. of Ottawa, Ottawa, ON, Canada
  • fYear
    2009
  • fDate
    20-23 Oct. 2009
  • Firstpage
    655
  • Lastpage
    660
  • Abstract
    Vehicle traffic congestion is reflected as delays while traveling. Traffic congestion has a number of negative effects and is a major problem in today´s society. Several techniques have been deployed to deal with this problem. In this paper, we have proposed an innovative approach to deal with the problem of traffic congestion using the characteristics of vehicular ad-hoc networks (VANET). We have used the adaptive proportional integral rate controller, a congestion control algorithm designed for the Internet, to deal with the problem of vehicle traffic congestion in vehicular networks. The adaptive PI rate controller is a rate based controller that employs control theory to manage the problem of data traffic congestion in computer networks. Using simulations we have demonstrated the applicability of the algorithm in the domain of vehicle traffic congestion in a VANET.
  • Keywords
    PI control; ad hoc networks; mobility management (mobile radio); road traffic; telecommunication congestion control; telecommunication traffic; traffic control; Internet; VANET; adaptive PI rate controller; adaptive proportional integral rate controller; computer networks; congestion control algorithm; control theory; delays; innovative approach; vehicle traffic congestion management; vehicular ad-hoc networks; Ad hoc networks; Adaptive control; Communication system traffic control; Computer network management; Pi control; Programmable control; Proportional control; Telecommunication traffic; Traffic control; Vehicles; Congestion; Control Theory; VANET; Vehicular Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Local Computer Networks, 2009. LCN 2009. IEEE 34th Conference on
  • Conference_Location
    Zurich
  • Print_ISBN
    978-1-4244-4488-5
  • Electronic_ISBN
    978-1-4244-4487-8
  • Type

    conf

  • DOI
    10.1109/LCN.2009.5355052
  • Filename
    5355052