Study on Lighting Optimization of Tunnel Entrance Section Based on Driver's Visual Adaptation Model

被引：0
|
作者：
Wang, Zeng'an [1 ]
Chen, Fei [1 ]
Hu, Fei [1 ]
Zhu, Jiayun [1 ]
机构：
[1] Southeast Univ, Sch Transportat, POB 210096, Nanjing, Peoples R China
来源：
CICTP 2019: TRANSPORTATION IN CHINA-CONNECTING THE WORLD | 2019年
基金：
中国国家自然科学基金;
关键词：
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
The change of light intensity at the entrance of a tunnel, which causes the driver's visual lag and the increase of reaction time, will affect the driving safety. Therefore, it is necessary to study the visual characteristics of tunnel drivers and put forward corresponding lighting optimization measures to improve the safety of tunnel operation. The illumination values at different sections of the tunnel entrance were collected during the vehicle test and the Sigmoid model of illumination changes at the tunnel entrance was constructed. Based on the Sigmoid model, the pupil area and illumination were analyzed by statistical methods and the visual adaptation model was established by polynomial-approximated approach. Finally, according to the present situation of tunnel lighting, optimization measures for transportation safety were put forward.
引用
收藏
页码：522 / 533
页数：12
相关论文
共 50 条
  • [41] Can a Driver Assistance System Determine if a Driver is Perceiving a Pedestrian? Consideration of the Driver's Visual Adaptation to Illumination Change
    Imaeda, Yuki
    Hirayama, Takatsugu
    Kawanishi, Yasutomo
    Deguchi, Daisuke
    Ide, Ichiro
    Murase, Hiroshi
    PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISIGRAPP 2017), VOL 4, 2017, : 611 - 616
  • [42] Length Design of Mountainous Highway Tunnel Transition Section at Entrance and Exit Based on Temperature Field
    Wang, Xiaoqing
    Kang, Xingxiang
    Ma, Biao
    CICTP 2020: ADVANCED TRANSPORTATION TECHNOLOGIES AND DEVELOPMENT-ENHANCING CONNECTIONS, 2020, : 1193 - 1205
  • [43] Defining Pedestrian's Visual Adaptation Field under Night Lighting in Venice
    Navvab, Mojtaba
    Bisegna, Fabio
    Cellucci, Lucia
    2016 IEEE 16TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC), 2016,
  • [44] Driver model based on driver's heading angle
    Liu, Zhiqiang
    Li, Weiqiang
    Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery, 2007, 38 (07): : 35 - 38
  • [45] Study on the Driver Visual Workload of Bridge-Tunnel Groups on Mountainous Expressways
    Zhang, Bo
    Bai, Jingrong
    Yin, Zhiwen
    Zhou, Ao
    Li, Jue
    APPLIED SCIENCES-BASEL, 2023, 13 (18):
  • [46] Displacement prediction of tunnel entrance slope based on LSSVM and bacterial foraging optimization algorithm
    Wang, Xihao
    Zhiyu, Bai
    Lu, Yuedong
    Wei, Yuchao
    Kang, Song
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [47] A Study on Optimization Technology of Visual Simulation Model Based on Creator
    Lei Hua-feng
    Shan Ning
    Wang Hao
    MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 3633 - 3636
  • [48] Study of a risk model based on the entrance process
    Li, ZH
    Zhu, JX
    Chen, F
    STATISTICS & PROBABILITY LETTERS, 2005, 72 (01) : 1 - 10
  • [49] Influence of dynamic highway tunnel lighting environment on driving safety based on eye movement parameters of the driver
    He, Shiyong
    Liang, Bo
    Pan, Guobing
    Wang, Feng
    Cui, Lulu
    TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2017, 67 : 52 - 60
  • [50] Intersection capacity based on driver's visual characteristics
    Lu, Jian
    Chen, Weiwei
    Fan, Hongjing
    Journal of Southeast University (English Edition), 2009, 25 (01) : 117 - 122
12345