• DocumentCode
    2632822
  • Title

    Simulation and Implementation of High-Performance Collision Warning System for Motor Vehicle Safety Using Embedded ANFIS Prediction

  • Author

    Chang, Bao Rong ; Young, Chung-Ping ; Tsai, Hsiu Fen ; Fang, Ren-Yang ; Lin, Jian-Jr

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Taitung Univ., Taitung
  • fYear
    2008
  • fDate
    18-20 June 2008
  • Firstpage
    80
  • Lastpage
    80
  • Abstract
    A good driver-vehicle interface needs two functions: (a) how to effectively prevent traffic crash and (b) how to record event data precisely for facilitating the traffic crash investigation after accident. This study is to explore how to realize high-performance collision warning system (CWS), providing the precaution against traffic crash in transit. An embedded adaptive network-based fuzzy inference system (ANFIS) built in XScale-NAV270 platform was employed to realize collision warning system and we also installed motor vehicle event data recorder (MVEDR). Finally, simulation and verification of the proposed approach were successfully done to achieve better accuracy and more effectiveness on warning operation and event data record to motor vehicle.
  • Keywords
    accident prevention; driver information systems; fuzzy reasoning; road safety; road traffic; road vehicles; XScale-NAV270 platform; adaptive network-based fuzzy inference system; collision warning system; driver vehicle interface; embedded ANFIS prediction; motor vehicle event data recorder; motor vehicle safety; traffic crash investigation; traffic crash precaution; traffic crash prevention; Adaptive systems; Alarm systems; Fuzzy neural networks; Predictive models; Road accidents; Telecommunication traffic; Traffic control; Vehicle crash testing; Vehicle safety; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-0-7695-3161-8
  • Electronic_ISBN
    978-0-7695-3161-8
  • Type

    conf

  • DOI
    10.1109/ICICIC.2008.496
  • Filename
    4603269