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
Link To Document :
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