• DocumentCode
    2122750
  • Title

    Enhancing Automatic Incident Detection Techniques Through Vehicle To Infrastructure Communication

  • Author

    Abuelela, Mahmoud ; Olariu, Stephan ; Yan, Gongjun

  • Author_Institution
    Dept. of Comput. Sci., Old Dominion Univ., Norfolk, VA
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    447
  • Lastpage
    452
  • Abstract
    One of the fundamental requirements of a traffic management system is the ability to determine when an incident has occurred so that proper responses can be initiated. Automatic incident detection (AID) has been considered a method for quickly detecting potential incidents on the road. Although vehicular ad hoc networks (VANETs) started mainly for safety applications, surprisingly a very few work have been done in VANETs for automatic incident detection while most of the research went for developing routing protocols and privacy techniques. In this paper, we introduce a novel incident detection technique for non dense traffic flow by taking advantage of communication between cars and some roadside infrastructure installed on the road every mile or so. The proposed technique can provide a great enhancement to the existing AID techniques specially under sparse traffic where most of them fail to detect non blocking incidents.
  • Keywords
    ad hoc networks; automobiles; mobile radio; road traffic; road vehicles; routing protocols; VANET; automatic incident detection technique; car traffic flow; roadside infrastructure; routing protocol; traffic management system; vehicle-to-infrastructure communication; vehicle-to-vehicle communication; vehicular ad hoc network; Ad hoc networks; Event detection; Intelligent transportation systems; Privacy; Road accidents; Routing protocols; Safety; Telecommunication traffic; Vehicle detection; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2111-4
  • Electronic_ISBN
    978-1-4244-2112-1
  • Type

    conf

  • DOI
    10.1109/ITSC.2008.4732687
  • Filename
    4732687