摘要
Abstract
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.关键词
多项式回归/驾驶行为/OBD/统计分析/时间序列分析/ARIMAKey words
polynomial regression/driving behavior/OBD/statistical analysis/time series analysis/ARIMA分类
信息技术与安全科学
