• DocumentCode
    1461356
  • Title

    Traffic control and intelligent vehicle highway systems: a survey

  • Author

    Baskar, L.D. ; De Schutter, Bart ; Hellendoorn, J. ; Papp, Z.

  • Author_Institution
    Delft Center for Syst. & Control, Delft Univ. of Technol., Delft, Netherlands
  • Volume
    5
  • Issue
    1
  • fYear
    2011
  • fDate
    3/1/2011 12:00:00 AM
  • Firstpage
    38
  • Lastpage
    52
  • Abstract
    Traffic congestion in highway networks is one of the main issues to be addressed by today´s traffic management schemes. Automation combined with the increasing market penetration of on-line communication, navigation and advanced driver assistance systems will ultimately result in intelligent vehicle highway systems (IVHS) that distribute intelligence between roadside infrastructure and vehicles and that - in particular on the longer term - are one of the most promising solutions to the traffic congestion problem. In this study, the authors present a survey on traffic management and control frameworks for IVHS. First, they give a short overview of the main currently used traffic control methods for freeways. Next, they discuss IVHS-based traffic control measures. Then, various traffic management architectures for IVHS such as PATH, Dolphin, Auto21 CDS etc. are discussed and a comparison of the various frameworks is presented. Finally, the authors sketch how existing traffic control methodologies could fit in an IVHS-based traffic control set-up.
  • Keywords
    automated highways; traffic engineering computing; IVHS; intelligent vehicle highway systems; traffic congestion problem; traffic control methods; traffic management schemes;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transport Systems, IET
  • Publisher
    iet
  • ISSN
    1751-956X
  • Type

    jour

  • DOI
    10.1049/iet-its.2009.0001
  • Filename
    5721768