Analysis of Road Traffic Information Early Warning Model Based on Data Mining
In order to reduce the occurrence of road traffic accidents,this paper analyzes the rules and causes of road traffic accidents based on traffic accident data in recent years.Five factors,including lighting conditions,visibility and weather,are taken as independent variables,and the severity of three traffic acci-dents,namely no injury,minor injury and serious injury,are taken as dependent variables.Multiple Logistic regression model and ordered multiple Logistic regression model were used to analyze the important factors af-fecting the severity of traffic accidents.The results show that the correct prediction rates of traffic accident severity by multiple Logistic regression model and ordered multiple Logistic regression model are 73.1％and 75.0％,respectively.The cause analysis of road traffic accidents based on data mining can provide basis for traffic management departments to control traffic environment and reduce traffic accidents.
data miningthe cause of the accidentthe severity of the accidentmultiple Logistic regres-sionordered multiclass Logistic regression
万方数据
维普
