Driver Identification by Driving Style
نویسندگان
چکیده
From optimizing a car’s performance, encouraging safer driving to accurate insurance pricing, it is desirable to be able to identify a driver by his driving style. Using a car data supplied by MetroMile Inc., driving styles were analyzed and core features were extracted. Two learning models were investigated and evaluated:support vector machine (SVM) and multinomial logistic regression. High accuracies of around 90% were achieved for identifying a particular driver from a group of up to 6 drivers.
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