Volume 21 Issue 2
Aug.  2021
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CUI Hong-jun, WANG Yu-bo, ZHU Min-qing, LI Xia. Influence of tunnel group light-dark conversion on dark reaction time[J]. Journal of Traffic and Transportation Engineering, 2021, 21(2): 200-208. doi: 10.19818/j.cnki.1671-1637.2021.02.017
Citation: CUI Hong-jun, WANG Yu-bo, ZHU Min-qing, LI Xia. Influence of tunnel group light-dark conversion on dark reaction time[J]. Journal of Traffic and Transportation Engineering, 2021, 21(2): 200-208. doi: 10.19818/j.cnki.1671-1637.2021.02.017
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Influence of tunnel group light-dark conversion on dark reaction time

doi: 10.19818/j.cnki.1671-1637.2021.02.017
  • 1.

    School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China

  • 2.

    School of Architecture and Art Design, Hebei University of Technology, Tianjin 300401, China

Funds:

National Natural Science Foundation of China 51678212

Technology Innovation Guidance Program of Hebei Province 19970808D

Natural Science Foundation of Hebei Province E2019202449

Innovation Capability Improvement Program of Hebei Province 20557672D

More Information
  • Author Bio:

    CUI Hong-jun(1974-), male, professor, PhD, cuihj1974@126.com

  • Corresponding author: ZHU Min-qing(1975-), female, professor, 992966624@qq.com
  • Received Date: 2020-10-02
  • Publish Date: 2021-04-25
    Abstract
  • The dark reaction time of 42 subjects with light-dark conversion times was measured in the designed darkroom, and the variations of dark reaction time of drivers under the influencing factors such as light-dark conversion times, tunnel type, and connecting-section type were researched. Dark reaction time of drivers with various influencing factors was analyzed by using the generalized linear and linear mixed models through repeated measurements. The interactive effects of light-dark conversion times, tunnel type, and connecting-section type on dark reaction timed of drivers were studied based on the influences of tunnel and connecting-section types on the variation rate of dark reaction time of drivers. A linear mixed model of light-dark conversion times, tunnel type, and connecting-section type was established. Analysis results show that dark reaction time of drivers decreases significantly with the increase of light-dark conversion times, reaches the minimum value and tends to become stable after three light-dark conversions. Light-dark conversion times, tunnel type, and connecting-section type have significant interactive effect on dark reaction time of drivers. As the number of light-dark conversion increases, tunnel length and connecting section are positively and negatively correlated with the reduction rate of dark reaction time, respectively. The more the light-dark conversion times and shorter connecting section length, the higher the error rate of driver recognition in darkness. The more the light-dark conversion times, shorter connecting section length, and longer tunnel length, the shorter the dark reaction time of drivers, which is more conducive to traffic safety. However, frequent light-dark conversion and extremely short connecting section reduce the driver cumulative recognition accuracy in darkness, which poses a safety hazard. 6 tabs, 5 figs, 31 refs.

     

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    • References(31)
  • [1]
    VAUQUELIN O, MÉGRET O. Smoke extraction experiments in case of fire in a tunnel[J]. Fire Safety Journal, 2002, 37(5): 525-533. doi: 10.1016/S0379-7112(02)00014-0
    [2]
    FIGUEROA A M. Subjective and objective risks consideration in modeling highway safety[D]. West Lafayette: Purdue University, 2005.
    [3]
    YAN Bin, CHEN Hong, ZHOU Ji-biao, et al. Research on safety mechanism of mountainous area highway bridge-tunnel group traffic[J]. China Safety Science Journal, 2013, 23(10): 69-75. (in Chinese) doi: 10.3969/j.issn.1003-3033.2013.10.012
    [4]
    DU Zhi-gang, PAN Xiao-dong, GUO Xue-bin. Evaluation index's application studies on safety at highway tunnel's entrance and exit[J]. Journal of Tongji University (Natural Science), 2008, 36(3): 325-329. (in Chinese) doi: 10.3321/j.issn:0253-374X.2008.03.009
    [5]
    TIAN Jing-jing, LI Shi-wu, SUN Wen-cai, et al. Effects of freeway tunnel on driver's visual characteristics[J]. Journal of Chang'an University (Natural Science Edition), 2015, 35(S): 216-221. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-XAGL2015S1046.htm
    [6]
    HU Yue-qi, LIU Hao-xue, ZHU Tong, et al. Research on visual characteristics of drivers driving through extremely long expressway tunnel[J]. China Safety Science Journal, 2017, 27(6): 31-36. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK201706006.htm
    [7]
    DUAN Meng-meng, TANG Bo-ming, HU Xu-hui, et al. Driver's visual load at tunnel entrance and exit of sections with high ratio of tunnels[J]. Journal of Transportation System Engineering and Information Technology, 2018, 18(3): 113-119. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-YSXT201803018.htm
    [8]
    YAN Ying, YE Fei, WANG Xiao-fei, et al. Analysis of ambient illumination and driver's pupil area in tunnel group[J]. Journal of South China University of Technology (Natural Science), 2016, 44(12): 89-96. (in Chinese) doi: 10.3969/j.issn.1000-565X.2016.12.013
    [9]
    DING Guang-ming. Study on the impact of freeway tunnel environment on drivers' physiology and psychology[D]. Xi'an: Chang'an University, 2011. (in Chinese)
    [10]
    PAN Xiao-dong, SONG Yong-zhao, YANG Zhen, et al. Visual environment improving scope at entrance and exit of highway tunnel based on visual load[J]. Journal of Tongji University (Natural Science), 2009, 37(6): 777-780. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-TJDZ200906013.htm
    [11]
    YAN Bin, ZHOU Ji-biao, GUO Nian-sheng, et al. Study of traffic sign setting in adjacent tunnel exit[J]. Journal of Xihua University (Natural Science), 2013, 32(3): 85-89. (in Chinese) doi: 10.3969/j.issn.1673-159X.2013.03.018
    [12]
    WOOD J M. Aging, driving and vision[J]. Clinical and Experimental Optometry, 2002, 85(4): 214-220. doi: 10.1111/j.1444-0938.2002.tb03040.x
    [13]
    DETRY-MOREL M. Visual aptitude for automobile driving[J]. Bulletin de la Société belge d'ophtalmologie, 2004(291): 5-15. http://www.ncbi.nlm.nih.gov/pubmed/15077466
    [14]
    KIRCHER K, AHLSTROM C. The impact of tunnel design and lighting on the performance of attentive and visually distracted drivers[J]. Accident Analysis and Prevention, 2012, 47: 153-161. doi: 10.1016/j.aap.2012.01.019
    [15]
    BURLING J, LU Hong-jing, TODOROVA G, et al. A comparison of eye-movement patterns between experienced observers and novices in detecting harmful intention from surveillance video[J]. Journal of Vision, 2016, 16(12): 1340-1340. doi: 10.1167/16.12.1340
    [16]
    FALKMER T, GREGERSEN N P. A comparison of eye movement behavior of inexperienced and experienced drivers in real traffic environments[J]. Optometry and Vision Science, 2005, 82(8): 732-739. doi: 10.1097/01.opx.0000175560.45715.5b
    [17]
    VERWEY W B. Effects of tunnel entrances on driver's physiological condition and performance. An exploratory study[J]. Drivers, 1995(4): 1-18. http://trid.trb.org/view/1995/M/453312
    [18]
    MASHIMO H. State of the road tunnel safety technology in Japan[J]. Tunnelling and Underground Space Technology Incorporating Trenchless Technology Research, 2002, 17(2): 145-152. http://www.sciencedirect.com/science/article/pii/S0886779802000172
    [19]
    SHANG Rong-li, ZHANG Sheng-rui. A study on tunnel traffic security system of expressway[J]. Highway, 2006(12): 127-130. (in Chinese) doi: 10.3969/j.issn.0451-0712.2006.12.029
    [20]
    LIU Ying-ying, CHEN Jian-zhong, ZHANG Qing-wen, et al. Influence of light source color temperature on traffic safety at tunnel entrance based on reaction time[J]. Journal of Highway and Transportation Research and Development, 2015, 32(2): 114-118, 133. (in Chinese) doi: 10.3969/j.issn.1002-0268.2015.02.018
    [21]
    CAI Guang-lin, XIE Pei, ZHU Tong. Effects of actively reducing light intensity on dark adaptation and traffic safety[J]. Journal of Transport Information and Safety, 2012, 30(1): 99-102. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-JTJS201201025.htm
    [22]
    HE S Y, TÄHKÄMÖ L, MAKSIMAINEN M, et al. Effects of transient adaptation on drivers'visual performance in road tunnel lighting[J]. Tunnelling and Underground Space Technology, 2017, 70: 42-54. doi: 10.1016/j.tust.2017.07.008
    [23]
    ZHANG Dian-ye, DAI Ming-sen, JIN Jian. Analysis of dark adaptation for drivers with safety driving at night[J]. China Journal of Highway and Transport, 1999, 12(4): 110-112. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL199904018.htm
    [24]
    ZHANG Qing-wen, HU Ying-kui, WENG Ji, et al. Research and application on the measurement system of lighting visual function in the road and tunnel[J]. Lights and Lighting, 2012, 36(4): 9-13. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-LAMP201204002.htm
    [25]
    YU Bin-bin, JIN Shang-zhong, ZHU Bo-ming, et al. Experimental research for the ability of color discrimination and dark adaptation to different light conditions[J]. Chinese Journal of Luminescence, 2015, 36(2): 237-241. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-FGXB201502022.htm
    [26]
    ZHANG Ling-chao, WANG Sheng-chang, ZHANG Xin-feng, et al. Establishing graded evaluation indexes of dark- adaptation for commercial vehicle drivers[J]. Journal of Highway and Transportation Research and Development, 2013, 30(9): 140-144. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-GLJK201309022.htm
    [27]
    CUI Hong-jun, YOU Ting-ting, LI Xia, et al. A study of dynamic threshold interval of illumination at entrance sections of expressway tunnels[J]. Journal of Transport Information and Safety, 2008, 36(3): 48-55, 78. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-JTJS201803007.htm
    [28]
    WANG Ya-nan. Analysis on the influence of tunnel lighting environment on driver's reaction time[D]. Xi'an: Chang'an University, 2017. (in Chinese)
    [29]
    HU Shun-feng. Traffic accident characteristics and mechanism analysis of mountain highway tunnel group[J]. Highway, 2016, 61(5): 134-138. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-GLGL201605030.htm
    [30]
    NI Na. Research on traffic characteristics and security assurance technologies of tunnel intensive section in mountainous expressway[D]. Xi'an: Chang'an University, 2017. (in Chinese)
    [31]
    PENG Jin-shuan. Driver's lane change intent identification based on visual characteristics and vehicles' relative movements[D]. Xi'an: Chang'an University, 2012. (in Chinese)
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