• DocumentCode
    1869148
  • Title

    A Wireless Sensor Network Architecture for Highway Intersection Collision Prevention

  • Author

    King, Timothy I. ; Barnes, W.J. ; Refai, Hazem H. ; Fagan, John E.

  • Author_Institution
    Northrop Grumman Corp., Oklahoma City
  • fYear
    2007
  • fDate
    Sept. 30 2007-Oct. 3 2007
  • Firstpage
    178
  • Lastpage
    183
  • Abstract
    With a growing number of vehicles entering roadways, it is important to take the initiative to decrease the number of collisions occurring on them. Intersections, in particular, are notorious for collisions. Unfortunately, due to the complexity of human driver behavior, there is limited technology capable of addressing this problem today. In rural areas, where non-stopping highways intersect with lower-traffic channels, the high speeds of the highway traffic make crossing and merging onto the road treacherous. Failure to yield to the higher priority traffic, for any reason, can have dire consequences. This paper describes a wireless intersection collision avoidance system (WICAS), an intelligent transportation system (ITS) technology to help mitigate collisions at intersections, particularly rural highway intersections based on a Kalman prediction algorithm that receives updated position and velocity estimates from deployed sensors.
  • Keywords
    automated highways; collision avoidance; road safety; road traffic; wireless sensor networks; Kalman prediction algorithm; highway intersection collision prevention; human driver behavior; intelligent transportation system technology; position estimates; roadways; velocity estimates; wireless intersection collision avoidance system; wireless sensor network architecture; Collision avoidance; Collision mitigation; Humans; Intelligent sensors; Intelligent transportation systems; Merging; Road accidents; Road transportation; Road vehicles; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems Conference, 2007. ITSC 2007. IEEE
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4244-1396-6
  • Electronic_ISBN
    978-1-4244-1396-6
  • Type

    conf

  • DOI
    10.1109/ITSC.2007.4357725
  • Filename
    4357725