Design And Realization Of The Analysis And Judgment System About Road Traffic Accidents

This article’s primary concern is the prevention of traffic accidents,addressing the existing practical problems such as the incomprehensive analysis of the causes,the insufficient data mining,the inefficiency and low quality of evaluation,and the lack of professional informationalized tools.Through in-depth study of causes of accidents utilizing Big Data theory,data mining algorithms,software engineering technology and data visualization,an analytic system of traffic accidents is developed for traffic administrative departments of provincial,city and county level that will facilitate traffic safety in various aspects.The research contents are as follows:Proposes the five dimensions of accident cause analysis: people,vehicle,road,environment and time cycle;replacing the traditional single-dimensional analytical method that focused solely on people;Adopts the “K-means clustering algorithm model of road traffic accident cause analysis”,excavates historical data of traffic accidents from the traffic administrative department,analyzes the significance and influence of different causes of the accidents,develops the“SARIMAX accident frequency prediction model” which predicts key indicators of traffic accidents,making possible the prediction of accident patterns and prewarning;Designs and develops the “traffic accidents analytic system” software on the basis of data visualization technology and software engineering theory;makes possible a direct and vivid presentation of road safety status and the auto-generation of analytical reports,changing the traditional work pattern of traffic accident prevention and improving the quality and efficiency in this field.