Analysis of Visual Load on Curve and Longitudinal Slope Combination of Extra-Long Underwater Tunnel Based on Visual Sensitive Region

被引:4
|
作者
Yang, Yongzheng [1 ]
Du, Zhigang [1 ]
Huang, Ting [2 ]
Mei, Jialin [1 ]
机构
[1] Wuhan Univ Technol, Sch Transportat & Logist Engn, Wuhan, Hubei, Peoples R China
[2] Guizhou Transportat Planning Survey & Design Inst, Guiyang, Guizhou, Peoples R China
基金
中国国家自然科学基金;
关键词
pedestrians; bicycles; human factors; road user measurement and evaluation; human factors of infrastructure design and operations; cognitive workload;
D O I
10.1177/03611981231188369
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Extra-long underwater tunnels are important traffic nodes in urban road networks and have a high incidence of traffic accidents. The frequent occurrence of curve and longitudinal slope combinations in such tunnels increases crash risk and has a negative impact on traffic safety. Vision is the most important way to obtain traffic information, and visual load is a good measure of driving risk. To explore the impact of curve and longitudinal slope combinations on a driver's visual load in an extra-long underwater tunnel, eye-movement data and speed data were obtained through a vehicle experiment. Based on driver gaze distribution, the area and location of the visual sensitive region are calculated, and a model of the relationship between the region's stability and the curve and longitudinal slope at different speeds is established, and applied to the visual-load evaluation. The results show that the curve or longitudinal slope has a significant influence on vehicle speed. High-visual-load areas are mainly located in small-radius curve and large longitudinal slope combination areas and extremely small-radius curve areas. For example, for a combination of left-turn curve and longitudinal slope with a speed of 50-60 km/h, when the curve radius is less than 1150 m and the longitudinal slope is less than -2.4%, or the curve radius is less than 1100 m and the longitudinal slope is greater than 2.2%, the visual load is high and driving safety is poor. This study can provide a theoretical basis for tunnel alignment design and safe operation.
引用
收藏
页码:138 / 152
页数:15
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  • [1] Driving safety evaluation of longitudinal slope and curve combination of extra-long underwater tunnels
    Yang, Yongzheng
    Du, Zhigang
    Pan, Fuquan
    Faus, Mireia
    [J]. COGNITION TECHNOLOGY & WORK, 2024,
  • [2] Research on drivers' eye movement characteristics in the combined section of longitudinal slope and curve in the extra-long underwater tunnel
    Yang, Yongzheng
    Du, Zhigang
    Zhang, Shuyang
    Han, Lei
    Xu, Fuqiang
    Jiao, Fangtong
    [J]. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2023, 136
  • [3] Visual Characteristic and Comfort at the Entrance and Exit of the Extra-long Urban Underwater Tunnel
    Jiao, Fang-Tong
    Du, Zhi-Gang
    Wang, Shou-Shuo
    Zheng, Hao-Ran
    Zhuo, Shi-Qi
    [J]. Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 2020, 33 (06): : 147 - 156
  • [4] Review on evaluation and optimization of light environment of extra-long urban underwater tunnel based on visual demands
    Du, Zhi-Gang
    Mei, Jia-Lin
    Ni, Yu-Dan
    Chen, Yi-Fei
    Tang, Zhen-Nong
    [J]. Jiaotong Yunshu Gongcheng Xuebao/Journal of Traffic and Transportation Engineering, 2020, 20 (06): : 48 - 61
  • [5] Drivers' visual load at different time periods in entrance and exit zones of extra-long tunnel
    Wang, Shoushuo
    Du, Zhigang
    Jiao, Fangtong
    Zheng, Haoran
    Ni, Yudan
    [J]. TRAFFIC INJURY PREVENTION, 2020, 21 (08) : 539 - 544
  • [6] Research on the characteristics of driver visual behavior in highway extra-long tunnel
    Yang, Yunxing
    Chen, Fang
    [J]. 2019 5TH INTERNATIONAL CONFERENCE ON ENERGY MATERIALS AND ENVIRONMENT ENGINEERING, 2019, 295
  • [7] Safety evaluation of visual load at entrance and exit of extra-long expressway tunnel based on optimized support vector regression
    Shang, Ting
    Lu, Hao
    Lu, Jiaxin
    Fan, Jing
    [J]. PLOS ONE, 2022, 17 (08):
  • [8] Monitoring and analysis of the operational environment in an extra-long highway tunnel with longitudinal ventilation
    Qian, Chao
    Chen, Jianxun
    Luo, Yanbin
    Zhao, Zhongjie
    [J]. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2019, 83 : 475 - 484
  • [9] Visual fatigue relief zone in an extra-long tunnel using virtual reality with wearable EEG-based devices
    Li Xiao-jun
    Ling Jia-xin
    Shen Yi
    [J]. JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2021, 28 (12) : 3871 - 3881
  • [10] Research on drivers' visual characteristics in different curvatures and turning conditions of the extra-long urban underwater tunnels
    Jiao, Fangtong
    Du, Zhigang
    Wang, Shoushuo
    Yang, Libo
    Ni, Yudan
    [J]. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2020, 99 (99)