Journal of South China University of Technology(Natural Science) >

2024 , Vol. 52 >Issue 11: 118 - 133

DOI: https://doi.org/10.12141/j.issn.1000-565X.230757

Intelligent Transportation System

Improvement Effectiveness of Active Warning Prevention and Control Strategy for Operation Risk on Foggy Bridges

  • DAI Yibo ,
  • ZHAO Xiaohua ,
  • BIAN Yang ,
  • ZHANG Jianhua
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  • Beijing Key Lab of Transportation，Beijing University of Technology，Beijing 100124，China
戴义博（1998—），男，博士生，主要从事交通安全、驾驶行为研究。E-mail:daiyibo525@163.com

Received date: 2023-12-05

  Online published: 2024-06-12

Supported by

the National Key R&D Program of China(2019YFB1600500)

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Abstract

In order to improve traffic operation of freeway bridge sections in fog, this paper proposed a human factor-oriented operation risk active warning prevention and control strategy for bridges. This strategy integrates traditional traffic safety facilities with intelligent technologies such as risk warning, dynamic speed limits, and visual guidance. Through changes in prevention and control levels under different risk levels, the facility resources were fully utilized to achieve the goal of multi-level and differentiated prevention and control from static notification to dynamic guiding. However, it is not yet clear whether this process will improve the driving behavior and the safety and efficiency of traffic operation, so it is difficult to support the effective design and application of the prevention and control strategy. Therefore, E’dong Yangtze River Bridge was taken as an example to quantitatively evaluate the improvement effectiveness of the prevention and control strategy through driving simulation test and to verify its validity. The optimization and implementation is based on the fact that human factor needs are subjected to the prevention and control strategy, then it has a better effect in guiding the practical application. The improvement effectiveness evaluation of prevention and control strategy was realized through the improvement rate of each indicator from three aspects (psychological perception, safety effectiveness and traffic efficiency). The results show that the prevention and control strategy is helpful to improve driver’s confidence and alleviate tension; it can significantly improve the driver’s behavioral performance and traffic operation state and enhance the traffic efficiency and the safety of horizontal and longitudinal operation of vehicles; it has the strongest ability to improve safety effectiveness, especially at the longitudinal level; the higher brightness line-of-sight induction strategy is more conducive to improving the safety level and significantly increasing the traffic capacity. Compared with the low brightness condition, it may have a negative impact on the driver’s psychological feelings, but it is not obvious. When the visibility is 100 m on bridge, it is recommended that the flashing frequency of visual guidance technology is 0.5 Hz and the brightness is 3 500 cd/m2. The results provide the necessary theoretical basis for the practical application of prevention and control strategy on foggy bridges. The proposed solution and the analytical idea of its improvement effectiveness provide a reference for targeted prevention and management of risky sections.

Key words： foggy bridge; active warning prevention and control strategy; driving simulation; visual guidance

Cite this article

DAI Yibo , ZHAO Xiaohua , BIAN Yang , ZHANG Jianhua . Improvement Effectiveness of Active Warning Prevention and Control Strategy for Operation Risk on Foggy Bridges[J]. Journal of South China University of Technology(Natural Science), 2024 , 52(11) : 118 -133 . DOI: 10.12141/j.issn.1000-565X.230757

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