• DocumentCode
    3181204
  • Title

    An Extended Collision Judgment Algorithm for Vehicular Collision Avoidance Support System (VCASS) in Advanced ITS

  • Author

    Maruoka, Tetuya ; Sato, Yasuhiro ; Nakai, Shinji ; Wada, Tomotaka ; Okada, Hiromi

  • Author_Institution
    Inf. Network Lab., Kansai Univ., Suita
  • fYear
    2008
  • fDate
    21-24 Sept. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In recent years, researches and developments on ITS are carried out to solve many problems in road traffic. IVC (Inter-Vehicular Communications) is the key technology to realize the next generation ITS. Vehicles install telecommunication equipment, and exchange safety information directly with each other. The authors have developed Vehicular Collision Avoidance Suppor t System (VCASS) based on IVC in order to prevent a vehicular accident beforehand. The system grasps the relative locations of vehicles by exchanging the GPS information in each vehicle. The system warns drivers if there is a danger of collision. VCASS can drastically reduce the potential accidents of vehicular collisions. However, VCASS makes false warnings and unnecessary warnings due to the position estimation error of vehicles. In this paper we propose an extended collision judgment algorithm in order to solve these problems of VCASS. We evaluate the performances of conventional and proposed methods with real vehicles.
  • Keywords
    Global Positioning System; collision avoidance; safety systems; vehicles; GPS information; collision judgment algorithm; intervehicular communications; position estimation; road traffic; safety information; vehicular accident prevention; vehicular collision avoidance support system; Accidents; Collision avoidance; Electronic mail; Global Positioning System; Laboratories; Least squares methods; Performance evaluation; Vehicle dynamics; Vehicle safety; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2008. VTC 2008-Fall. IEEE 68th
  • Conference_Location
    Calgary, BC
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4244-1721-6
  • Electronic_ISBN
    1090-3038
  • Type

    conf

  • DOI
    10.1109/VETECF.2008.250
  • Filename
    4657082