• DocumentCode
    3020459
  • Title

    SEEDrive -- An Adaptive and Rule Based Driving System

  • Author

    Yay, Emre ; Martinez Madrid, Natividad

  • Author_Institution
    Sch. of Inf., Reutlingen Univ., Reutlingen, Germany
  • fYear
    2013
  • fDate
    16-17 July 2013
  • Firstpage
    262
  • Lastpage
    265
  • Abstract
    In the last decades energy-efficiency and road safety became an important factor. Therefore more and more sensors and control units were built in to the vehicles whose goals were, among the comfort, to save energy and to increase the road safety by optimising the car. However, the energy-efficiency and road safety can also be increased by adapting the individual driving behaviour to the given situation. In this paper a driving system called SEEDrive is introduced, which is in development. Its goal is to educate the driver in energy-efficient and safe driving behaviour by using in-vehicle sensors and serial-bus systems to get information about the car, the driver and the environment. SEEDrive adapts itself to the individual driving behaviour and gives adequate recommendations regarding energy-efficiency and safety in real-time. This allows eliminating bad driving habits while also considering the driver needs.
  • Keywords
    automobiles; driver information systems; energy conservation; knowledge based systems; road safety; SEEDrive; adaptive driving system; bad driving habits; car information; car optimisation; driver education; driver needs; energy efficiency; energy saving; in-vehicle sensors; individual driving behaviour adaptation; road safety; rule based driving system; safe driving behaviour; serial-bus system; vehicles; Energy efficiency; Engines; Hidden Markov models; Road safety; Safety; Sensors; Vehicles; driving assistant; driving behaviour; driving system; energy-efficiency; expert system; prediction; safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Environments (IE), 2013 9th International Conference on
  • Conference_Location
    Athens
  • Type

    conf

  • DOI
    10.1109/IE.2013.25
  • Filename
    6597823