Multi-field coupling analysis on the driving risk of expressways in a rain and fog mixed environment

The winter rain-fog mixed climate is one of calamitous climates that seriously affect driving safety in foggy days. Through distinction between superposition of risk fields in foggy sections and multi-field coupling of risks, based on field theory, an analysis was made on the mathematical and physical characteristics of risk fields in foggy sections in a mixed climate, and a method of evaluating vehicle risks in a rain and fog mixed environment was proposed; in terms of climate and traffic flow coupling, in relation to risk field in foggy sections in a rain and fog mixed environment, a mathematical model was built, and verified through examples; finally, in combination with flow field and the theoretical model of interaction between risks, in a mixed environment, a correction formula for a single vehicle correction at any point was determined. The result showed that risk field superposition was to define the value at risk from macro point of view, and multi-field coupling was to make an analysis from the perspective of the micro physical characteristics of risk, and both field superposition and coupling must be considered in-depth analysis of the risk of driving on expressways in a foggy environment; in a real foggy environment, the factors that impact risk fields in foggy sections interacted with each other, between which there was a non-linear coupling relationship; risk fields in foggy sections were considered as scalar fields; due to the effect of driving speed, traffic flow and wind velocity, risk fields in foggy sections were of the characteristics of flow field; the above relationship of impact was defined, and an accident risk transfer function model that affects the interaction in connection with a single vehicle was built.

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Publication Details

Journal
KSCE Journal of Civil Engineering
Published
2025-05-05
DOI
https://doi.org/10.1016/j.kscej.2025.100269
Citations
2
Primary Topic
Wind and Air Flow Studies
Type
article
Field-Weighted Citation Impact
1.60
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article

Multi-field coupling analysis on the driving risk of expressways in a rain and fog mixed environment

Xinyu Li, Jie Li, Qianghui Song, Xiaolei Li
2 citations
KSCE Journal of Civil Engineering
Wind and Air Flow Studies
1.60
article

Multi-field coupling analysis on the driving risk of expressways in a rain and fog mixed environment

Xinyu Li, Jie Li, Qianghui Song, Xiaolei Li
article en
2 citations

Abstract

The winter rain-fog mixed climate is one of calamitous climates that seriously affect driving safety in foggy days. Through distinction between superposition of risk fields in foggy sections and multi-field coupling of risks, based on field theory, an analysis was made on the mathematical and physical characteristics of risk fields in foggy sections in a mixed climate, and a method of evaluating vehicle risks in a rain and fog mixed environment was proposed; in terms of climate and traffic flow coupling, in relation to risk field in foggy sections in a rain and fog mixed environment, a mathematical model was built, and verified through examples; finally, in combination with flow field and the theoretical model of interaction between risks, in a mixed environment, a correction formula for a single vehicle correction at any point was determined. The result showed that risk field superposition was to define the value at risk from macro point of view, and multi-field coupling was to make an analysis from the perspective of the micro physical characteristics of risk, and both field superposition and coupling must be considered in-depth analysis of the risk of driving on expressways in a foggy environment; in a real foggy environment, the factors that impact risk fields in foggy sections interacted with each other, between which there was a non-linear coupling relationship; risk fields in foggy sections were considered as scalar fields; due to the effect of driving speed, traffic flow and wind velocity, risk fields in foggy sections were of the characteristics of flow field; the above relationship of impact was defined, and an accident risk transfer function model that affects the interaction in connection with a single vehicle was built.

KSCE Journal of Civil EngineeringVol. 29(11)
Army Sustainment University (US), PLA Army Service Academy (CN), Chongqing Jiaotong University (CN)
Climate action
Openalex Percentile: Top 18%
Wind and Air Flow Studies
1.60
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