Intersection traffic safety evaluation method based on UAV video data

Shuai Xiong; Weiwei Meng; Jianing Gao

doi:10.1117/12.3029633

21 June 2024 Intersection traffic safety evaluation method based on UAV video data

Shuai Xiong, Weiwei Meng, Jianing Gao

Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 1316716 (2024) https://doi.org/10.1117/12.3029633
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China

Abstract

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.

Citation Download Citation

Shuai Xiong, Weiwei Meng, and Jianing Gao "Intersection traffic safety evaluation method based on UAV video data", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 1316716 (21 June 2024); https://doi.org/10.1117/12.3029633

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