Intersection traffic safety evaluation method based on UAV video data

This is the authors' abstract. We don't add key points for this paper.

Existing intersection safety evaluation methods are mostly based on traffic accident data statistics, which has shortcomings such as difficulty in data acquisition, long data collection time and long evaluation time span. In order to solve these problems, this study obtains high-definition and accurate spatio-temporal trajectory data of different traffic subjects at intersections through UAV detection technology, and combines the traffic conflict theory. Three traffic safety evaluation indexes were obtained, and five intersections in Tianjin were evaluated by using grey clustering method, and the five intersections were divided into four safety levels.