Influence of light zones on drivers' visual fixation characteristics and traffic safety in extra-long tunnels

被引:43
|
作者
Yan, Ying [1 ]
Wang, Xiaofei [2 ]
Shi, Ludan [1 ]
Liu, Haoxue [1 ]
机构
[1] Changan Univ, Key Lab Automobile Transportat Safety Support Tec, Xian, Shaanxi, Peoples R China
[2] S China Univ Technol, Sch Civil Engn & Transportat, Wushan Rd 381, Guangzhou 510640, Guangdong, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Extra-long tunnels; light zone; fixation duration; pupil area; fixation points distribution; traffic safety; ROAD TUNNELS; PERFORMANCE;
D O I
10.1080/15389588.2016.1193170
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objective: Special light zone is a new illumination technique that promises to improve the visual environment and improve traffic safety in extra-long tunnels. The purpose of this study is to identify how light zones affect the dynamic visual characteristics and information perception of drivers as they pass through extra-long tunnels on highways.Methods: Thirty-two subjects were recruited for this study, and fixation data were recorded using eye movement tracking devices. A back-propagation artificial neural network was employed to predict and analyze the influence of special light zones on the variations in the fixation duration and pupil area of drivers. The analytic coordinates of focus points at different light zones were clustered to obtain different visual fixation regions using dynamic cluster theory.Results: The findings of this study indicated that the special light zones had different influences on fixation duration and pupil area compared to other sections. Drivers gradually changed their fixation points from a scattered pattern to a narrow and zonal distribution that mainly focused on the main visual area at the center, the road just ahead, and the right side of the main visual area while approaching the special light zones. The results also showed that the variation in illumination and landscape in light zones was more important than driving experience to yield changes in visual cognition and driving behavior.Conclusions: It can be concluded that the special light zones can help relieve drivers' vision fatigue to some extent and further develop certain visual stimulus that can enhance drivers' attention. The study would provide a scientific basis for safety measurement implementation in extra-long tunnels.
引用
收藏
页码:102 / 110
页数:9
相关论文
共 18 条
  • [1] Visual characteristics of drivers in different directions and lengths of gradual landscape zones in extra-long highway tunnels
    Su, Enjie
    Zhang, Xingbing
    Wen, Xiaobao
    Liu, Jia
    Ye, Fei
    Han, Xingbo
    Lei, Pengfei
    [J]. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2023, 137
  • [2] Drivers' Saccade Characteristics in Curves of Extra-Long Urban Underwater Tunnels
    Jiao, Fangtong
    Du, Zhigang
    Wang, Shoushuo
    Ni, Yudan
    He, Rui
    [J]. TRANSPORTATION RESEARCH RECORD, 2020, 2674 (02) : 102 - 111
  • [3] 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)
  • [4] Study on Drivers' Visual Load Features in Lighting Environments of Interior Zones of Extra-Long Tunnels over 10 km
    Zhou, Yuantao
    He, Shiyong
    Li, Xiaohu
    Li, Yingying
    Du, Guoping
    [J]. ADVANCES IN CIVIL ENGINEERING, 2022, 2022
  • [5] Evaluation of the Effect of RPMs in Extra-long Tunnels Based on Driving Behavior and Visual Characteristics
    Zhao, Xiao-Hua
    Ju, Yun-Jie
    Li, Jia
    Tao, Pan-Pan
    Wang, Xue-Song
    Zhou, Rong-Gui
    [J]. Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 2020, 33 (06): : 29 - 41
  • [6] 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
  • [7] 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,
  • [8] 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
  • [9] An innovative method to measure and predict drivers' behaviour in highway extra-long tunnels using time-series modelling
    Wu, Ling
    Hu, Hao
    Zhao, Weihua
    Liu, Haoxue
    Zhu, Tong
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 38 (01) : 207 - 217
  • [10] Research on Calculating Traffic Capacity in Extra-Long Subsea Tunnels-A Case Study of the Qingdao Jiaozhou Bay Subsea Tunnel
    Xing, Ruru
    Li, Zimu
    Cai, Xiaoyu
    Rong, Xiaonan
    Yang, Tao
    Peng, Bo
    [J]. SUSTAINABILITY, 2023, 15 (09)