Research on Driving Style Recognition Method for Adaptive Cruise Control
In order to improve the applicability of the adaptive cruise system to different styles of drivers,the driver's driving style was integrated into the adaptive cruise control algorithm,the driving data was collected and analyzed by the real vehicle to obtain the characteristic parameters that could characterize the driving style,the K-Means algorithm was used to cluster the characteristic parameters of all drivers,and the BP neural network was used for driving style recognition,and a driving style recognition method combining K-Means algorithm with BP neural network was proposed.Simulation experiments show that the proposed method can identify different drivers as cautious,average,and aggressive styles,and the recognition accuracy is more than 90%.The research results can provide more precise control strategies for adaptive cruise control,improve the applicability and reliability of the system,and enable drivers of different styles to obtain a better driving experience.
万方数据
维普
