Study on traffic accident characteristics of provincial trunk highway based on data mining

Abstract

In order to further prevent and control the traffic accidents of provincial main highways, the characteristics of time, space and causes are explored. In view of the prominent traffic safety problems of provincial trunk highways, according to the traffic accident statistics and traffic volume data of S325 provincial highway provided by a city, taking S325 provincial highway as a typical example, the spatio-temporal and cause characteristics of traffic accidents in this province are analyzed, and the traffic accident hotspots are identified by k-means clustering method. The results show that: from the time distribution characteristics, there is an obvious periodicity distribution in the time period of the province. In terms of spatial distribution characteristics, the number of traffic accidents on provincial roads is less at both ends, more in the middle, less in road sections of municipal districts, and more in road sections of township streets. According to the distribution characteristics of accident zones, the number and scale of accident spots located at intersections on provincial highways are far more than those located on road sections. From the point of view of the characteristics of the accident cause, the accident cause is highly correlated with the time and place of the accident, and the illegal behaviors causing the accident can be coordinated governance in the time and place.