Volume 42 Issue 4
Aug.  2024
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JIANG Wenyi, DU Zhigang, HE Shiming, MEI Jialin, HAN Lei. A Study on the Visual Behavior Characteristics of Drivers at the Entrance Area of Freeway Tunnels in Foggy Weather[J]. Journal of Transport Information and Safety, 2024, 42(4): 110-117. doi: 10.3963/j.jssn.1674-4861.2024.04.012
Citation: JIANG Wenyi, DU Zhigang, HE Shiming, MEI Jialin, HAN Lei. A Study on the Visual Behavior Characteristics of Drivers at the Entrance Area of Freeway Tunnels in Foggy Weather[J]. Journal of Transport Information and Safety, 2024, 42(4): 110-117. doi: 10.3963/j.jssn.1674-4861.2024.04.012

A Study on the Visual Behavior Characteristics of Drivers at the Entrance Area of Freeway Tunnels in Foggy Weather

doi: 10.3963/j.jssn.1674-4861.2024.04.012
  • Received Date: 2023-12-26
    Available Online: 2024-11-25
  • The tunnel entrance area and foggy environments significantly impact drivers' vision, causing changes in drivers' visual behaviors that lead to alterations in driving behaviors, thus affecting traffic safety. To investigate the influence of fog on characteristics of drivers' visual behavior at the tunnel entrance area, a real-vehicle test is conducted in Sanhu Tunnel and Hankou Tunnel in Henan Province, and 24 participants are recruited to analyze the differences in drivers' visual behavior characteristics inside and outside the tunnels under foggy and clear weather, with drivers' fixation and saccade behaviors as the main objects of the study. The results indicate significant differences in drivers' visual behavior characteristics between foggy and clear weather. ①Before entering the tunnel in foggy weather, fixation distribution becomes more concentrated, the percentage of fixation durations exceeding 1 000 ms increases, with foggy conditions at night reaching 29%, average fixation duration increases, the frequency of fixation decreases, the range and efficiency of visual search decrease, and saccades within the range from 0° to 5° accounting for 88.89%, drivers pay less attention to the environments on both sides and try to search for the tunnel portal, demonstrating more cautious driving behavior. ②After entering the tunnel in foggy weather, the range of fixation points expands to varying degrees, average fixation time and average saccade duration increase, the range and efficiency of visual search improve, and drivers pay more attention to the tunnel sidewalls and contour. ③In foggy weather, nighttime has a greater impact on drivers' visual behaviors than daytime, and the level of driving caution increases further. ④During the daytime, fog reduces the visibility of the visual-guiding facilities at the tunnel portal, leading to poor recognition of the tunnel portal, drivers experience a dramatic change in their visual environment, which increases visual load and psychological pressure, significantly increasing driving risk.

     

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  • [1]
    JIAO F T, DU Z G, WONG Y D, et al. Influence of different visual guiding facilities in urban road tunnel on driver's spatial right-of-way perception[J]. Accident Analysis & Prevention, 2022, 172: 106688.
    [2]
    赵峰, 夏永旭, 谢涛. 公路隧道运营事故统计分析研究[J]. 公路, 2014, 59(6): 280-287.

    ZHAO F, XIAYX, XIET. Analysis and study of operational accidentsinroadtunnel[J]. Highway, 2014, 59 (6): 280-287(. inChinese
    [3]
    HE J, ZHANG C, ZHANG F, et al. Tunnel traffic facilities and landscape evaluation technology based on virtual reality[J]. Journal of Tongji University(Natural Science), 2020, 48: 215-222.
    [4]
    HASSAN H M, ABDEL-ATY M A. Analysis of drivers'behavior under reduced visibility conditions using a structural equation modeling approach[J]. Transportation Research Part F: Traffic Psychology& Behaviour, 2011, 14(6): 614-625.
    [5]
    HAMILTON B, TEFFT B, ARNOLD L, et al. Hidden highways: fog and traffic crashes on America's roads[M]. Washington, D. C. : AAA Foundation for Traffic Safety, 2014.
    [6]
    梁波, 牛佳安, 张红杰. 基于扫视路径速度的隧道入口驾驶舒适性分析[J]. 地下空间与工程学报, 2024, 20(2): 657-666, 700.

    LIANG B, NIU J A, ZHANG H J. Analysis on driving comfort at tunnel entrance based on saccade path speed[J]. Chinese Journal of Underground Space and Engineering, 2024, 20 (2): 657-666, 700. (in Chinese)
    [7]
    焦方通, 杜志刚, 王首硕, 等. 城市水下特长隧道弯道驾驶人扫视行为研究[J]. 中国安全科学学报, 2019, 29(7): 104-109.

    JIAO F T, DU Z G, WANG S S, et al. Research on saccade behavior of drivers in extra-long urban underwater tunnel curves[J]. China Safety Science Journal, 2019, 29(7): 104-109. (in Chinese)
    [8]
    WANG Y G, WANG L J, WANG C, et al. How eye movement and driving performance vary before, during, and after entering a long expressway tunnel: considering the differences of novice and experienced drivers under daytime and nighttime conditions[J]. Springer Plus, 2016, (5): 1-10.
    [9]
    HU Y Q, LIU H X, ZHU T. Influence of spatial visual conditions in tunnel on driver behavior: considering the route familiarity of drivers[J]. Advances in Mechanical Engineering, 2019, 11(5): 1687814019853661. doi: 10.1177/1687814019853661
    [10]
    梁波, 文森, 肖尧等. 特长隧道出入口驾驶人生理负荷与行车安全性研究[J]. 隧道建设(中英文), 2021, 41(9): 1461-1467.

    LIANG B, WEN S, XIAO Y, et al. Physiological load and driving safety for drivers at entrance and exit of an extra-long tunnel[J]. Tunnel Construction, 2021, 41(9): 1461-1467. (in Chinese)
    [11]
    张续光, 高建平, 廖丽等. 雾环境下高速公路驾驶人跟驰行为研究[J]. 中国公路学报, 2022, 35(1): 275-285. doi: 10.3969/j.issn.1001-7372.2022.01.024

    ZHANG X G, GAO J P, LIAO L, et al. Car following behavior of an expressway driver in fog environment[J]. China Journal of Highway and Transport, 2022, 35(1): 275-285. (in Chinese) doi: 10.3969/j.issn.1001-7372.2022.01.024
    [12]
    DAS A, AHMED M M, GHASEMZADEH A. Using trajectory-level SHRP2 naturalistic driving data for investigating driver lane-keeping ability in fog: An association rules mining approach[J]. Accident Analysis & Prevention, 2019, 129: 250-262.
    [13]
    PENG Y, ABDEL-ATY M, SHI Q, et al. Assessing the impact of reduced visibility on traffic crash risk using microscopic data and surrogate safety measures[J]. Transportation Research Part C: Emerging Technologies, 2017, 74: 295-305. doi: 10.1016/j.trc.2016.11.022
    [14]
    薛晴婉, 徐嘉伟, 闫学东, 等. 雾天驾驶人车辆操纵行为特性及其与追尾风险相关性分析[J]. 交通信息与安全, 2022, 40(1): 19-27. doi: 10.3963/j.jssn.1674-4861.2022.01.003

    XUE Q W, XU J W, YAN X D, et al. A study on the correlation between vehicle control behaviors and rear-end collision risk under foggy conditions[J]. Journal of Transport Information and Safety, 2022, 40(1): 19-27. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2022.01.003
    [15]
    乔建刚, 宫帅港, 王傑, 等. 隧道入口冰雪环境下驾驶人心生理特性研究[J]. 中国安全生产科学技术, 2022, 18(11): 184-190.

    QIAO J G, GONG S G, WANG J, et al. Study on psychophysiological characteristics of drivers at tunnel entrance under ice and snow conditions[J]. Journal of Safety Science and Technology, 2022, 18(11): 184-190. (in Chinese)
    [16]
    施正宝, 何福成, 王首硕, 等. 基于线性诱导的公路隧道入口区域交通安全优化研究[J]. 隧道建设(中英文), 2022, 42 (增刊1): 136-146.

    SHI Z B, HE F C, WANG S S, et al. Traffic safety optimization of entrance section in highway tunnels based on linear guiding[J]. Tunnel Construction, 2022, 42(S1): 136-146. (in Chinese)
    [17]
    叶飞, 温小宝, 翁效林, 等. 公路隧道入口彩色路面设计现状与分析[J]. 同济大学学报(自然科学版), 2023, 51(4): 473-484, 470. (in Chinese)

    YE F, WEN X B, WENG X L, et al. Review and analysis of colored pavement design at entrance of highway tunnel[J]. Journal of Tongji University (Natural Science), 2023, 51(4): 473-484, 470.
    [18]
    ZHAO X H, CHEN Y F, LI H J, et al. A study of the compliance level of connected vehicle warning information in a fog warning system based on a driving simulation[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2021, 76: 215-237.
    [19]
    齐莹菲, 柳本民, 郭忠印. 高速公路雾天安全管理系统[J]. 同济大学学报(自然科学版), 2007(1): 61-66.

    QI Y F, LIU B M, GUO Z Y. Safety management system for freeway in fog[J]. Journal of Tongji University(Natural Science), 2007(1): 61-66. (in Chinese)
    [20]
    常鑫, 李海舰, 荣建, 等. 浓雾区路段安全预警系统对驾驶行为影响研究[J]. 重庆交通大学学报(自然科学版), 2021, 40(12): 1-6, 81.

    CHANG X, LI H J, RONG J, et al. Influence of safety early warning system on driving behavior in dense fog area[J]. Journal of Chongqing Jiaotong University (Natural Science), 2021, 40(12): 1-6, 81. (in Chinese)
    [21]
    何富勇, 杨雅钧, 张驰, 等. 基于视觉指标的雾天高速公路限速值[J]. 公路交通科技, 2024, 41(7): 194-206.

    HE F Y, YANG Y J, ZHANG C, et al. Expressway speed limit value in fog based on driver's visual indicator[J]. Journal of Highway and Transportation Research and Development, 2024, 41(7): 194-206. (in Chinese)
    [22]
    梅家林, 杜志刚, 王首硕. 不同时段高速公路特长隧道入口视觉特性研究[J]. 武汉理工大学学报(交通科学与工程版), 2022, 46(1): 50-53, 59.

    MEI J L, DU Z G, WANG S S. Study on visual characteristics of the entrance of extra-long tunnel of expressway in different time periods[J]. Journal of Wuhan University of Technology (Transportation Science & Engineering), 2022, 46(1): 50-53, 59. (in Chinese)
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