Research on driving style recognition method based on driver’s dynamic demand

Drivers usually show different driving styles in a transportation system. In analyzing the explicit linkage between driving style and driver’s dynamic demand, driving style can be classified into sports, moderate, and economical types. The sum of current driving resistance and the absolute value of its change rate is chosen as a measurement of driver’s dynamic demand. The influence of subjective and objective factors on driver’s dynamic demand has been analyzed. Single-exponential smoothing is adopted to predict the overall and staged driving style based on historical driver’s dynamic demand data. The most prominent advantage of the proposed prediction method is that there is no need to store significant historical data while considering the importance of each period data. The vehicle test scheme of driving style recognition method is designed including the test vehicle and drivers’ selection, driving route and task design. Test results show that driving style can be identified accurately with no additional sensors using the proposed method, and it can be used to quantitatively analyze the influence of different factors on driving style through statistical analysis. According to recognition results, automatic transmission shift point can be corrected to improve the adaptability of gearshift strategy for different driving styles.

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