• DocumentCode
    3003173
  • Title

    Study on decision mechanism of safe driving system based on knowledge

  • Author

    Liang, Yan-Fei ; He, Han-Wu ; Zheng, De-Tao

  • Author_Institution
    Fac. of Electro-Mech. Eng., Guang Dong Univ. of Technol., Guangzhou
  • fYear
    2008
  • fDate
    1-3 Sept. 2008
  • Firstpage
    2812
  • Lastpage
    2817
  • Abstract
    According to the characteristics of driving knowledge, different knowledge expression methods was adopted to express the driving system knowledge respectively, and the driving knowledge expression model has been established. The overall structure and lever of driving knowledge was based on framework representation and the logic judgment process of operation was expressed based on producing representation. Structure of collision avoidance driving intelligent system has been constructed, and the driving mode inference mechanism has also been established. The method of using semantics distance to solve the driving knowledge fuzzy match problem has been proposed. By calculating the frame match degree through the algorithm of determination of frame attribute weight value to travel mode, driving knowledge fuzzy match question and the conflict resolution question have been solved.
  • Keywords
    driver information systems; fuzzy set theory; inference mechanisms; road safety; collision avoidance driving intelligent system; driving knowledge expression model; driving knowledge fuzzy match problem; driving mode inference mechanism; safe driving system; semantics distance; Artificial intelligence; Automobiles; Collision avoidance; Databases; Engines; Intelligent structures; Intelligent systems; Intelligent transportation systems; Intelligent vehicles; Road accidents; Conflict resolution; Decision Mechanism; Knowledge representation; Safe Driving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-2502-0
  • Electronic_ISBN
    978-1-4244-2503-7
  • Type

    conf

  • DOI
    10.1109/ICAL.2008.4636654
  • Filename
    4636654