Analysis Of Causes Of Traffic Accidents On Different Sections Of Expressway Based On Improved Association Rules

There are many risk factors affecting highway traffic accidents,and these factors are often interrelated.It is necessary to analyze these factors and explore the mechanism of their effects on traffic accidents.In addition,because the basic sections and ramps of expressway have different characteristics in many aspects,the characteristics and causes of traffic accidents are often different.In order to ensure the traffic safety of freeway,it is necessary to study the influencing factors and their internal relations of freeway basic sections and ramp traffic accidents.However,due to the huge traffic accident data,it is difficult to find the potential relationship among people,vehicles,roads,environment and other factors only through the method of aggregate descriptive analysis.Therefore,based on the dynamic system of "people vehicle road environment",this paper selects the basic freeway sections and ramp traffic accidents as the research object,improves the operation and uses association rules to analyze,highlighting the effectiveness of association rules.The main research tasks are as follows:(1)The features of accident distribution of fundamental part and ramp of highway in the study area are studied by mathematical statistical method.Firstly,the distribution of accidents is analyzed from the perspective of time and space.Then,the type,shape and identified cause of traffic accidents are explored.Finally,based on the theory of traffic engineering,the research on the impact of the four elements of "people vehicle road environment" on accidents is carried out.(2)This paper explores the mining methods of traffic accident association rules from three aspects of data structure,key indicators and subjective constraints,expounds the key work and detailed methods of different processes of association rule analysis,and summarizes the specific mining process.Considering that the traffic accident data of Expressway in the study area contains multidimensional attributes such as "location,time,weather",the association rule mining idea for traffic accident multidimensional data is determined,and the online analysis and processing technology is introduced to analyze the characteristics and applicability of different data models,then the star model of multidimensional data is established.(3)An improved Apriori algorithm for mining association rules considering accident attribute constraints is proposed,which improves the problem that Apriori algorithm needs to search database many times,resulting in low efficiency.According to the requirements of expressway traffic accident cause analysis,judge whether the accident attribute dimension is included in the connection step,and add the screening step of frequent item set in the pruning process.Only the frequent item set containing the accident attribute needs to be generated,which improves the efficiency of algorithm mining.(4)Carry out association rule mining and Analysis on traffic accident data of Expressway in the study area.By using the improved Apriori association rule mining algorithm,this paper studies the correlation between the risk factors of freeway basic sections and ramp traffic accidents.According to the accident attributes,multiple factors and the attributes of the accident itself,single factor and the attributes of the accident itself,the mining is carried out,and the association rules between the basic freeway sections and ramp traffic accidents in the study area are obtained.Finally,according to the results of mining,the causes of accidents and the corresponding accident prevention are discussed.