Research on highway accident prediction based on interactive highway safety design model

Shi-lun Zheng; Yun-wei Meng; Hong-qi Cai; Jian-qun Luo; Shi-quan Sun

doi:10.1117/12.2613706

10 November 2021 Research on highway accident prediction based on interactive highway safety design model

Shi-lun Zheng, Yun-wei Meng, Hong-qi Cai, Jian-qun Luo, Shi-quan Sun

Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 120501A (2021) https://doi.org/10.1117/12.2613706
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China

Abstract

The distribution of highway accidents presents a certain regularity. In order to study the influence of road alignment index on the accident, Using Interactive Highway Safety Design Model (IHSDM) to predict accidents on a two-way four-lane highway in Guangxi. The type and distribution of accidents are counted. Through comparative analysis with the actual accident situation, the accuracy of IHSDM accident prediction is defined. The research results show that the IHSDM model can identify dangerous road sections and is sensitive to the size and change of the radius of the horizontal curve. The establishment of the IHSDM model will help to optimize highway alignment and reduce the accident rate, and provide reference for road safety research.

Citation Download Citation

Shi-lun Zheng, Yun-wei Meng, Hong-qi Cai, Jian-qun Luo, and Shi-quan Sun "Research on highway accident prediction based on interactive highway safety design model", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 120501A (10 November 2021); https://doi.org/10.1117/12.2613706

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