Analysis of influencing factors of mountain secondary highway accidents based on logistic regression model

Jin Jiang; Yun-wei Meng; Lang Wen; Wei-yong Gong; Guangyan Qing

doi:10.1117/12.2613714

10 November 2021 Analysis of influencing factors of mountain secondary highway accidents based on logistic regression model

Jin Jiang, Yun-wei Meng, Lang Wen, Wei-yong Gong, Guangyan Qing

Author Affiliations +

Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 120501F (2021) https://doi.org/10.1117/12.2613714
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China

Abstract

Mountain roads are affected by various factors such as topography, which limits the overall alignment of mountain roads and frequent traffic accidents. In order to study the accident factors of a secondary road in a mountainous area, three-year traffic accident data on a two-way two-lane secondary road in the mountainous area was analyzed. Using the binomial logistic model, the consequences of the accident are divided into serious accidents and general accidents as dependent variables, and time, weather, road conditions, alignment and month are used as independent variables for analysis. The results show that time, alignment and month have a significant impact on the severity of the consequences of a traffic accident. According to the results, the influence degree of each influencing factor is analyzed. According to the results, suggestions for mitigating the serious consequences of the accident were put forward from the aspects of strengthening safety facilities, improving safety awareness, and safety management.

Citation Download Citation

Jin Jiang, Yun-wei Meng, Lang Wen, Wei-yong Gong, and Guangyan Qing "Analysis of influencing factors of mountain secondary highway accidents based on logistic regression model", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 120501F (10 November 2021); https://doi.org/10.1117/12.2613714

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