Paper
20 December 2024 Traffic risk identification methods for the Tibet highway under the impact of typical sudden disasters
Yanrong Liu, Xianyong Liu, Jianbei Liu, Weiwei Liu
Author Affiliations +
Proceedings Volume 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024); 134212I (2024) https://doi.org/10.1117/12.3054820
Event: Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 2024, Dalian, China
Abstract
To study the identification method of highway traffic risks under the influence of disasters, this paper uses fault tree model, correlation analysis, and Delphi method to identify and analyze the influencing factors of highway traffic operation risks under the influence of disasters. Based on the fault tree model, with "highway traffic operation risk under disasters" as the top event, a progressive analysis of risk factors in dimensions such as disasters, drivers, vehicles, roads, topography, and traffic operation is conducted, and a method for calibrating evaluation indicators for each factor is proposed. The method combines quantitative screening and qualitative analysis to screen and eliminate factors and evaluation indicators with high relevance, low importance, and poor availability, forming a quantitative evaluation indicator form for risk factors. This provides a basis for highway risk management under sudden disasters, and provides technical support for management personnel to control the development of disaster risk trends and reduce economic and property losses caused by high risks.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yanrong Liu, Xianyong Liu, Jianbei Liu, and Weiwei Liu "Traffic risk identification methods for the Tibet highway under the impact of typical sudden disasters", Proc. SPIE 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 134212I (20 December 2024); https://doi.org/10.1117/12.3054820
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KEYWORDS
Roads

Rain

Risk assessment

Safety

Transportation

Design

Landslides

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