DRIVING RISK PREDICTION TECHNOLOGY OF ECO-FRIENDLY VEHICLE BASED ON FUZZY COMPREHENSIVE EVALUATION MODEL

摘要

Due to the vagueness of vehicle driving risk prediction, the traditional ecological environment- friendly vehicle driving risk prediction technology has poor accuracy in vehicle risk prediction. Therefore, an ecological environment-friendly type based on fuzzy comprehensive evaluation model is designed. This study, we analyzed the driving data, extracted the driving behavior characteristic parameters of the eco-friendly vehicle, and used the vehicle speed exceeding the speed limit, the average speed, the standard deviation of acceleration and the negative acceleration as the characteristic indicators of the driving risk prediction of the eco-friendly vehicle. Then we used the fuzzy comprehensive evaluation model to establish a predictive index matrix, calculate the index weight, and classify the vehicle driving risk. Finally, the index weight is combined with the vehicle driving risk classification result to obtain the ecological environment-friendly vehicle driving risk prediction. The experiment proved that the design of the eco-environment- friendly vehicle driving risk prediction technology based on the fuzzy comprehensive evaluation model is more accurate than the traditional technology and can accurately predict the vehicle driving risk.