Research on Driving Behavior Risk Assessment Based on LSTM
In order to solve the problem of large error in predicting traffic conflicts caused by driving behavior,LabVIEW is used to construct a dataset of driver driving behavior.The LSTM(Long Short-Term Memory)algorithm is used to assess the risk of driving behavior and obtain a comprehensive risk factor.In the actual vehicle test,the risk factor and the following model are combined to establish the driver collision risk assessment model and verify its accuracy.The results show that the comprehensive risk factor is the main parameter of road risk prediction,and the higher the score,the higher the accident rate.The accuracy of collision risk assessment based on LSTM is 96.26%,and the recognition speed of high-risk driving behavior can be shortened to 1.72 s.The collision risk assessment model based on LSTM driving behavior has high accuracy,stable evaluation and rapid response,which can provide timely and reliable safety early warning information for preventing traffic accidents and promoting the development of intelligent transportation.
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