Causal Analysis of New Energy Vehicle Traffic Accidents Based on Association Rules
With the increase in the market share of new energy vehicles,traffic accidents caused by driv-ing new energy vehicles have gradually attracted attention.Taken Changsha City as an example,correla-tion mining and analysis on the causes of urban road traffic accidents of new energy vehicle are carried out.Apriori algorithm is used to mine 10 strong traffic accident factor correlation relationships,and the association rules are analyzed in depth.Targeted suggestions are proposed to make up for the shortcom-ings of current research on new energy vehicle traffic accidents.The results provide theoretical support for the safety of new energy vehicle driving and offer decision-making support for the traffic management de-partments.
road traffic safetynew energy vehicleaccident causation analysisApriori association rules mining algorithm
NETL
NSTL
万方数据
