Volume 39 Issue 2
Apr.  2021
Turn off MathJax
Article Contents
Article Navigation >  Journal of Transport Information and Safety  > 2021  >  39(2): 43-52
LIANG Bo, LIANG Bo, XIAO Yao, PU Junyong. A Stopping Sight Distance in Access Zone of Highway Tunnel Based on the Reaction Time[J]. Journal of Transport Information and Safety, 2021, 39(2): 43-52. doi: 10.3963/j.jssn.1674-4861.2021.02.006
Citation: LIANG Bo, LIANG Bo, XIAO Yao, PU Junyong. A Stopping Sight Distance in Access Zone of Highway Tunnel Based on the Reaction Time[J]. Journal of Transport Information and Safety, 2021, 39(2): 43-52. doi: 10.3963/j.jssn.1674-4861.2021.02.006
shu

A Stopping Sight Distance in Access Zone of Highway Tunnel Based on the Reaction Time

doi: 10.3963/j.jssn.1674-4861.2021.02.006
  • 1.

    College of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China

  • 2.

    State Key Laboratory of Mountain and Bridge Engineering, Chongqing Jiaotong University, Chongqing 400074, China

  • 3.

    Chongqing Rail Transit(Group)Co. Ltd., Chongqing 400042, China

  • Received Date: 2020-12-07
    Abstract
  • The reaction time is an important factor of stopping sight distance. The existing models of stopping sight distance seldom consider the influences of the environment outside the highway tunnel on reaction time of drivers. Twenty-five drivers are selected to carry out indoor simulation tests under different distances from the tunnel entrance, test time points, and vegetation area outside the tunnel to study the distribution of reaction time in the access zone of the highway tunnel. The platform for measurement of reaction time in the road tunnel is used to collect the reaction time of drivers, and ANOVA is used to test the significant differences in the data. A model of the relationship among the reaction time, distance, and time points is developed to quantify the impacts of distance and time on the reaction time. The results show that: ① The reaction time corresponding to different test points(distances from the entrance)has an overall significant difference. The reaction time first decreases and then increases with the decreased distance from the entrance, and reaches the minimum between 40 and 60 m from the entrance. ② The reaction timecorresponding to different vegetation area percentages has no overall significant difference. ③ The reaction time corresponding to different test time points has an overall significant difference, and there is no interaction between the test time point and the test point. The reaction time first decreases and then increases with the increase of time point, and reaches the minimum at 4 pm. ④ The correction coefficient of the new stopping sight distance model based on the reaction time is 0.62, with its calculated value less than the standard calculated value. The difference between the two increases with the increase of the design speed. ⑤ After verifying the measured value of the new tunnel, there is no significant difference between predicted and measured values, indicating that the model has a good predictive ability.

     

    • FullText(HTML)
  • loading
    • References(25)
  • [1]
    李文波, 刘东波, 谭山, 等. 山区双车道公路视距与交通安全的关系研究[J]. 黑龙江交通科技, 2007, 30(12): 149-151. doi: 10.3969/j.issn.1008-3383.2007.12.094

    LI Wenbo, LIU Dongbo, TAN Shan, et al. Research on the relationship between sight distance and traffic safety in mountainous two-lane highways[J]. Heilongjiang Transportation Science and Technology, 2007, 30(12): 149-151. (in Chinese) doi: 10.3969/j.issn.1008-3383.2007.12.094
    [2]
    于亚敏. 公路隧道入口"黑洞"效应的数值表征与遮阳棚光环境设计方法[D]. 西安: 长安大学, 2019.

    YU Yamin. Numerical characterization of the "black hole" effect at the entrance of highway tunnels and the design method of the light environment of the awning[D]. Xi'an: Chang'an University, 2019. (in Chinese)
    [3]
    HAO S, WANG Q P, ZHANG P, et al. Spatialtemporal characteristics of tunnel traffic accidents in china from 2001 to present[J]. Advances in Civil Engineering, 2019(6): 1-12. http://www.researchgate.net/publication/345435237_Spatialtemporal_Characteristics_of_Tunnel_Traffic_Accidents_in_China_from_2001_to_Present
    [4]
    DELAIGUE P, ESKANDARIAN A. A comperehensive vehicle braking model for prediction of stopping distance[J]. Journal of Automobile Engineering, 2004, 218(12): 1409. doi: 10.1243/0954407042707641
    [5]
    MARIJONAS B, OLEG V. Efficiency of a braking process evaluating the roughness of road surface[J]. Transport, 2010, 21 (1): 3-7. doi: 10.1080/16484142.2006.9638032
    [6]
    WANG J J, XU F Y, MA A J. Research of safe speed at snow on freeway based on braking model of stopping sight distance[J]. Applied Mechanics & Materials, 2012, 209(12): 837-840. http://www.scientific.net/AMM.209-211.837
    [7]
    HABIB G, BUYRUK S. Improvement of safe stopping distance and accident risk coefficient based on active driver sight field on real road conditions[J]. IET Intelligent Transport Systems, 2019, 13(12): 1843-1850. doi: 10.1049/iet-its.2019.0322
    [8]
    袁浩, 史桂芳, 黄晓明, 等. 停车视距制动模型[J]. 东南大学学报(自然科学版), 2009, 39(4): 859-862. doi: 10.3969/j.issn.1001-0505.2009.04.041

    YUAN Hao, SHI Guifang, HUANG Xiaoming, et al. Stopping sight distance braking model[J]. Journal of Southeast University(Natural Science Edition), 2009, 39(4): 859-862. (in Chinese) doi: 10.3969/j.issn.1001-0505.2009.04.041
    [9]
    姜虹, 李峰. 不同路面条件下高速公路的停车视距建模与安全车速分析[J]. 西安工业大学学报, 2012, 32(1): 25-30. doi: 10.3969/j.issn.1673-9965.2012.01.006

    JIANG Hong, LI Feng. Stopping sight distance modeling and safe speed analysis of expressways under different road conditions[J]. Journal of Xi'an Technological University, 2012, 32 (1): 25-30. (in Chinese) doi: 10.3969/j.issn.1673-9965.2012.01.006
    [10]
    杨帆, 白浩晨, 贺亚龙, 等. 高速公路中央分隔带停车视距评价方法研究[J]. 公路交通科技, 2018, 35(6): 45-51. https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK201806007.htm

    YANG Fan, BAI Haochen, HE Yalong, et al. Research on the evaluation method of stopping sight distance in the central divider of expressway[J]. Highway Transportation Science and Technology, 2018, 35(6): 45-51. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK201806007.htm
    [11]
    陈雨人, 付云天, 汪凡. 基于支持向量回归的视距计算模型建立和应用[J]. 中国公路学报, 2018, 31(4): 105-113. doi: 10.3969/j.issn.1001-7372.2018.04.013

    CHEN Yuren, FU Yuntian, WANG Fan. Establishment and application of sight distance calculation model based on support vector regression[J]. China Journal of Highway and Transport, 2018, 31(4): 105-113. (in Chinese) doi: 10.3969/j.issn.1001-7372.2018.04.013
    [12]
    杜博英, 石红星. 竖曲线上的车速、视距及设计[J]. 公路交通技术, 2003(6): 8-10. doi: 10.3969/j.issn.1009-6477.2003.06.003

    DU Boying, SHI Hongxing. Vehicle speed, sight distance and design on vertical curve[J]. Highway Traffic Technology, 2003 (6)8-10. (in Chinese) doi: 10.3969/j.issn.1009-6477.2003.06.003
    [13]
    李霖, 朱西产, 马志雄. 驾驶员在真实交通危险工况中的制动反应时间[J]. 汽车工程, 2014, 36(10): 1225-1229+1253. https://www.cnki.com.cn/Article/CJFDTOTAL-QCGC201410014.htm

    LI Lin, ZHU Xichan, MA Zhixiong. Driver's braking reaction time in real traffic dangerous conditions[J]. Automotive Engineering, 2014, 36(10): 1225-1229+1253. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-QCGC201410014.htm
    [14]
    袁守利, 郭铮. 考虑驾驶员反应时间的车辆碰撞预警模型[J]. 安全与环境学报, 2021, 21(1): 270-276. https://www.cnki.com.cn/Article/CJFDTOTAL-AQHJ202101036.htm

    YUAN Shouli, GUO Zheng. Vehicle collision warning model considering driver reaction time[J]. Journal of Safety and Environment, 2021, 21(1): 270-276. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-AQHJ202101036.htm
    [15]
    刘宁伟, 梁波, 肖尧, 等. 基于驾驶员反应时间特性的特长隧道行车安全[J]. 科学技术与工程, 2020, 20(26): 10927-10933. doi: 10.3969/j.issn.1671-1815.2020.26.056

    LIU Ningwei, LIANG Bo, XIAO Yao, et al. Driving safety in extra-long tunnels based on the characteristics of the driver's reaction time[J]. Science Technology and Engineering, 2020, 20(26): 10927-10933. (in Chinese) doi: 10.3969/j.issn.1671-1815.2020.26.056
    [16]
    SHY B. Sight distance and horizontal curve aspects in the design of road tunnels vs. highways[J]. Tunnelling and Underground Space Technology, 2015, 45(02): 214-226. http://www.sciencedirect.com/science/article/pii/S0886779814001710
    [17]
    WARSHAWSKY L L, SHINAR D. Effects of uncertainty, transmission type, driver age and gender on braking reaction and movement time[J]. Journal of Safety Research, 2002, 33 (1): 117-128. doi: 10.1016/S0022-4375(02)00006-3
    [18]
    PENNETTI C A, HOLLENBACK K, KIM I, et al. Cognitive load variability from road characteristics should influence a safety requirement for vehicle stopping sight distance[J]. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2019, 63(1): 2129-2133. doi: 10.1177/1071181319631396
    [19]
    陈瑶. 公路景观对停车视距的影响研究[D]. 昆明: 昆明理工大学, 2015.

    CHEN Yao. Research on the impact of highway landscape on stopping sight distance[D]. Kunming: Kunming University of Science and Technology, 2015. (in Chinese)
    [20]
    闫寒. 采用LED光源的高速公路隧道智能照明技术研究[D]. 天津: 河北工业大学, 2017.

    YAN Han. Research on highway tunnel intelligent lighting technology using LED light source[D]. Tianjin: Hebei University of Technology, 2017. (in Chinese)
    [21]
    赵卫斌, 刘琦, 刘松荣, 等. 公路隧道洞外亮度时变特性研究[J]. 公路交通技术, 2017, 33(5): 132-135+145. https://www.cnki.com.cn/Article/CJFDTOTAL-GLJT201705029.htm

    ZHAO Weibin, LIU Qi, LIU Songrong, et al. Research on the time-varying characteristics of the brightness outside the high⁃way tunnel[J]. Highway and Transportation Technology, 2017, 33(5): 132-135+145. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GLJT201705029.htm
    [22]
    胡英奎, 陈仲林, 张青文, 等. 驾车接近隧道过程中驾驶员的适应亮度变化规律[J]. 重庆大学学报, 2016, 39(1): 98-104. https://www.cnki.com.cn/Article/CJFDTOTAL-FIVE201601013.htm

    HU Yingkui, CHEN Zhonglin, ZHANG Qingwen, et al. The driver's adaptive brightness changes when driving close to the tunnel[J]. Journal of Chongqing University, 2016, 39(1): 98-104. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-FIVE201601013.htm
    [23]
    许景峰. 基于辐射度学的隧道洞外亮度及色温动态变化规律研究[D]. 重庆: 重庆大学, 2018.

    XU Jingfeng. Research on the dynamic changes of the brightness and color temperature outside the tunnel based on radiometry[D]. Chongqing: Chongqing University, 2018. (in Chinese)
    [24]
    胡馨月. 公路隧道照明对驾驶员动态视觉影响研究[D]. 西安: 长安大学, 2018.

    HU Xinyue. Research on the impact of highway tunnel lighting on driver's dynamic vision[D]. Xi'an: Chang'an University, 2018. (in Chinese)
    [25]
    CHOW S. Sample size calculations in clinical research[M]. London: Taylor & Francis, 2007.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(13)  / Tables(6)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (684) PDF downloads(23) Cited by()
    Proportional views
    Related

    Copyright Editorial Office of Transport Information and Safety鄂ICP备05003336号-2

    Address：No. 1178，Heping Avenue, Wuchang, Wuhan, CHINA (430063)

    Tel：027-86580355 Email：jtjsj@vip.163.com

    Supported by: Beijing Renhe Information Technology Co. Ltd  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return