The Analysis of Driver Driving Stability Based on OBD Data Acquisition
The analysis of driver driving stability plays a crucial role in studying the factors affecting traffic safety.To this end,it is proposed to use polynomial regression to predict vehicle speed in a short period of time based on data collected by an on-board automatic diagnostic system(OBD).Firstly,it analyzes the objective factors that affect the driving speed of vehicles,such as terrain,weather,driving path,etc.Secondly,by controlling objective factors to remain unchanged and integrating effective driving speed data for polynomial regression prediction,the parameters of the model are obtained.By comparing the true value with the predicted value,the mean squared error(MSE)and goodness of fit are obtained,thereby obtaining the optimal parameters.Finally,through a large amount of experimental data,it is verified that the model has achieved good prediction results in this study.
polynomial regressiondriving behaviorOBDstatistical analysistime series analysisARIMA
国家科技期刊平台
NSTL
万方数据
维普
