Advanced traffic conflict evaluation method with roadside LiDAR data

Fujin Hou; Zhiheng Cheng; Yan Li; Yuan Tian

doi:10.1117/12.3024826

14 February 2024 Advanced traffic conflict evaluation method with roadside LiDAR data

Fujin Hou, Zhiheng Cheng, Yan Li, Yuan Tian

Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130182G (2024) https://doi.org/10.1117/12.3024826
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China

Abstract

In order to study the conflict characteristics of vehicles in the merging area on the highway, the conflict risk of vehicles in the merging area on the highway is reduced. This paper is based on continuous microscopic trajectory information obtained by LiDAR. An active traffic safety analysis method is proposed and the existing unconstrained conflict discrimination method is improved. Focus on the proximity of two or more road users in time or space and the likelihood of accidents. This method can effectively overcome the shortcomings of inaccurate records and incomplete analysis of traditional accident statistical methods. Further expand the practical application scope of this type of trajectory, while verifying the accuracy of trajectory tracking, calculate traffic conflicts from trajectory data, and analyze the potential collision risk of each target in the trajectory, so as to provide technical and data support for reducing traffic accidents.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fujin Hou, Zhiheng Cheng, Yan Li, and Yuan Tian "Advanced traffic conflict evaluation method with roadside LiDAR data", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130182G (14 February 2024); https://doi.org/10.1117/12.3024826

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