Study on highway disaster risk classification of lean rainfall

Mengru Shen; Jingao Wang; Mingyue Yan; Yi Zhou; Nan Xu

doi:10.1117/12.3024001

14 February 2024 Study on highway disaster risk classification of lean rainfall

Mengru Shen, Jingao Wang, Mingyue Yan, Yi Zhou, Nan Xu

Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 1301834 (2024) https://doi.org/10.1117/12.3024001
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China

Abstract

Rainfall weather can easily lead to problems such as wet and slippery pavement, reduced friction coefficient and low visibility, which directly affect the safety of highway traffic. With the continuous increase of highway mileage and travel vehicles, the probability of accidents in rainy weather is increasing. In order to reduce the occurrence of road traffic accidents under rainfall weather, improve the accuracy and timeliness of rainfall disaster warning and management, pro-vide a more accurate and effective basis for meteorological disaster risk classification, and carry out research on refined rainfall disaster risk classification scheme. This paper summarizes the existing rainfall disaster risk classification standards, constructs the meteorological disaster index model, and proposes a lean rainfall disaster risk classification scheme from three aspects : possibility, severity and sensitivity.

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

Citation Download Citation

Mengru Shen, Jingao Wang, Mingyue Yan, Yi Zhou, and Nan Xu "Study on highway disaster risk classification of lean rainfall", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 1301834 (14 February 2024); https://doi.org/10.1117/12.3024001

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