Driving fatigue prediction model with validity analysis based on BP neural network
Fatigue driving is one of the most important reasons causing traffic accidents,which brings serious casualties and property losses,so the prediction of fatigue driving behavior is pretty necessary to reduce the occurrence of accidents.By designing the fatigue driving experiment of real vehicles in the high-speed section,the relevant characteristic indicators were obtained,the characteristic parameters were studied,and a driver fatigue driving state prediction model based on BP neural network was established to predict the driver's fatigue state with an accuracy of more than 90%.The fatigue prediction of the experimental data under different deletion rates was carried out to determine whether the model was effective when the data was missing,and the prediction accuracy of the model still reached 80%when the data deletion rate reached 20%,so fatigue prediction based on BP neural network was highly effective.
NETL
NSTL
万方数据
维普
