Online driving style recognition using fuzzy logic

Abstract

Nowadays more and more driver assistance systems are implemented in cars. By adapting the system to the driving style of the driver, the acceptance of the driver to such a system could be enhanced. In this paper a system for online driving style recognition is designed. It is implemented in Matlab/Simulink and uses fuzzy logic for identifying the current driving style. It is fully parameterisable via a central parameter file and could therefore be adapted to nearly every car. The recognition was tested by using a vehicle dynamics simulation with 68% correct classifications over time.

DOI: 10.1109/ITSC.2014.6957822

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Cite this paper

@article{Drr2014OnlineDS, title={Online driving style recognition using fuzzy logic}, author={Dominik D{\"{o}rr and David Grabengiesser and Frank Gauterin}, journal={17th International IEEE Conference on Intelligent Transportation Systems (ITSC)}, year={2014}, pages={1021-1026} }