• DocumentCode
    2832511
  • Title

    Longitudinal Vehicle Guidance Using Fuzzy Logic

  • Author

    Avdagic, Zikrija ; Cernica, Elvedin ; Konjicija, Samim

  • Author_Institution
    Sarajevo Univ., Sarajevo
  • fYear
    2006
  • fDate
    15-17 Dec. 2006
  • Firstpage
    893
  • Lastpage
    898
  • Abstract
    This paper presents capabilities of fuzzy logic in longitudinal vehicle guidance. Two aspects in automated driving are presented. The first is trajectory generation for longitudinal vehicle guidance, where the real driver is replaced by fuzzy inference system. The second aspect is design of fuzzy controller which can be implement for leading ideal trajectory in longitudinal direction. Design of fuzzy system is realized in MATLAB environment where the vehicle dynamic is known. This dynamic is result of identification methods realized on the Institute of Automatic Control at the University of Erlangen-Nurnberg. Experimental results for the longitudinal vehicle guidance have been obtained by use of the Audi test vehicle equipped with sensors and control devices.
  • Keywords
    control system synthesis; fuzzy control; fuzzy logic; fuzzy reasoning; mathematics computing; road vehicles; Audi test vehicle; Institute of Automatic Control; MATLAB; University of Erlangen-Niirnberg; automated driving; fuzzy controller; fuzzy inference system; fuzzy logic; identification methods; longitudinal vehicle guidance; trajectory generation; Acceleration; Automatic control; Engines; Fuzzy logic; Navigation; Radar tracking; Torque; Traffic control; Vehicle dynamics; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology, 2006. ICIT 2006. IEEE International Conference on
  • Conference_Location
    Mumbai
  • Print_ISBN
    1-4244-0726-5
  • Electronic_ISBN
    1-4244-0726-5
  • Type

    conf

  • DOI
    10.1109/ICIT.2006.372259
  • Filename
    4237581