• DocumentCode
    1693468
  • Title

    An embedded fuzzy logic prediction cruise control system

  • Author

    Shaout, Adnan ; McGee, Ryan ; Awad, S.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. of Michigan - Dearborn, Dearborn, MI, USA
  • fYear
    2012
  • Firstpage
    7
  • Lastpage
    15
  • Abstract
    A fuzzy logic based prediction algorithm is developed which predicts when a driver will use cruise control in their automobile. The fuzzy system reads vehicle speed, the smoothness of vehicle speed, the delta speed from the current speed limit and estimates likelihood of cruise control usage. Over 1700 km of real world driving data was recorded. This data was used to calibrate the membership functions and to validate the overall system design.
  • Keywords
    automobiles; embedded systems; fuzzy control; prediction theory; predictive control; velocity control; automobile; current speed limit; delta speed; embedded fuzzy logic prediction cruise control system; fuzzy system; likelihood estimation; membership function calibration; vehicle speed smoothness; Activity Modeling; Automotive; Cruise Control; Fuzzy Logic; Prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering Conference (ICENCO), 2012 8th International
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4673-5565-0
  • Type

    conf

  • DOI
    10.1109/ICENCO.2012.6487082
  • Filename
    6487082