Research On Traffic Accident Data Mining Based On Improved Apriori Algorithm

Rapid economic development in China in recent years,especially after twenty-first Century,the growth spurt of vehicle transportation problems have become increasingly serious,frequent traffic accidents not only influence the economic development of our country,but also pose a threat to people's travel safety.Data mining technology can effectively dig out the law of traffic accidents.It is necessary to formulate traffic accident prevention measures reasonably to reduce the losses caused by accidents.The Apriori algorithm can not be directly applied to multi-dimensional traffic accident data mining problems,to improve the Apriori algorithm:first of all,the data layer specifies the interval classification mapping,after rising dimension reduction,into a Boolean matrix form of data processing,and the processed data are selectively combined with the existing MApriori algorithm and HMApriori algorithm for the further optimization of the data,the final data in the form of special Boolean matrix can be directly calculated by the Apriori algorithm of association rules,so as to solve the Apriori algorithm can't handle multi-dimensional traffic accident data problem.The Qinghemen district traffic accident data of Fuxin city were analyzed,to verify the correctness of the improved algorithm,association rules and get some traffic accidents in Qinghemen area of Fuxin City,has a certain practical significance.The algorithm studied in this paper can provide help for the traffic accident prevention and control in our country,and can contribute to the development of traffic safety field in the future.