| China’s highway traffic accident rate has been rising rapidly in recent years,ranking first in the world.On the one hand,it has something to do with China’s car ownership and highway construction mileage ranking first in the world.On the other hand,it is also related to the complicated climate in Our country and the inadequate highway traffic safety measures.Based on the traffic flow characteristics of expressways in China,this paper analyzes the distribution law of traffic accidents on expressways in China,and then discusses the causes of traffic accidents on expressways in China.In particular,it analyzes the mechanism of traffic accidents caused by overloaded vehicles under extreme weather conditions.Finally,through the establishment of expressway traffic accident prediction neural network model,the traffic accident mortality prediction,and then put forward emergency rescue and prevention and control measures.The research results of this paper can be used for reference for the safety management of expressway in China.The thesis is divided into five chapters.The first chapter is the introduction,which mainly describes the research background,the research situation at home and abroad,as well as the research contents and methods.The second chapter describes the characteristics and distribution of traffic accidents.The third chapter is the analysis of the influencing factors of traffic accidents and the analysis of the mechanism of traffic accidents under the condition of overload.Chapter four is traffic accident prediction and prevention and control measures based on neural network model.The last part is the summary of the whole paper and the prospect of the future. |