Dynamic driving risk in highway tunnel groups based on pupillary oscillations

被引:9
|
作者
Zheng, Haoran [1 ,2 ]
Du, Zhigang [1 ]
Wang, Shoushuo [3 ]
机构
[1] Wuhan Univ Technol, Sch Transportat & Logist Engn, 1178 Heping Rd, Wuhan 430063, Hubei, Peoples R China
[2] Eindhoven Univ Technol, Dept Built Environm, Groene Loper 3, NL-5612 AE Eindhoven, Noord Brabant, Netherlands
[3] Guangzhou Maritime Univ, Sch Port & Shipping Management, 101 Hongshan 3rd Rd, Guangzhou 510725, Guangdong, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
Highway Tunnel Group; PPAV; Pupillary Oscillations; Driving Risks; Whipping Effect; ROAD TUNNEL; PERCEPTION; FREEWAY; DESIGN; SYSTEM; IMPACT; SIZE;
D O I
10.1016/j.aap.2023.107414
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
This study aims to understand the dynamic changes in driving risks in highway tunnel groups. Real-world driving experiments were conducted, collecting pupil area data to measure pupil size oscillations using the Percentage of Pupil Area Variable (PPAV) metric. The analysis focused on investigating relative pupil size fluctuations to explore trends in driving risk fluctuations within tunnel groups. The objective was to identify accident-prone areas and key factors influencing driving risks, providing insights for safety improvements. The findings revealed an overall "whipping effect" phenomenon in driving risk changes within tunnel groups. Differences were observed between interior tunnel areas and open sections, including adjacent, approach, and departure zones. Higher driving risks were associated with locations closer to the tail end of the tunnel group and shorter exit departure sections. Targeted safety improvement designs should consider fluctuation patterns in different directions, with attention to tunnels at the tail end. In open sections, increased travel distance and lengths of upstream and downstream tunnels raised driving risks, while longer open zones improved driving risks. Driving direction and sequence had minimal impact on risks. By integrating driver vision, tunnel characteristics, and the environment, this study identified high-risk areas and critical factors, providing guidance for monitoring and improving driving risks in tunnel groups. The findings have practical implications for the operation and safety management of tunnel groups.
引用
收藏
页数:12
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