Review on evaluation and optimization of light environment of extra-long urban underwater tunnel based on visual demands

被引:0
|
作者
Du Z.-G. [1 ]
Mei J.-L. [1 ]
Ni Y.-D. [1 ]
Chen Y.-F. [1 ]
Tang Z.-N. [2 ]
机构
[1] School of Transportation, Wuhan University of Technology, Wuhan
[2] Jinhua Highway Administration, Jinhua
基金
中国国家自然科学基金;
关键词
Extra-long urban underwater tunnel; Light environment; Traffic safety; Visual demand; Visual induction; Visual reference system;
D O I
10.19818/j.cnki.1671-1637.2020.06.004
中图分类号
学科分类号
摘要
To improve the traffic safety and transportation efficiency of extra-long urban underwater tunnels, the typical problems and improvement measures of light environment in extra-long urban underwater tunnels were summarized. From the aspects of comfort, economy, setting basis, and installation form, four kinds of improvement measures of light environment of tunnels were compared and analyzed, including shading facilities at the entrance, enhanced lighting at the entrance and exit, landscape decoration, and visual induction system. Drivers' visual demands were stratified according to the theory of Maslow's hierarchy of needs. The research framework of the light environment evaluation system and optimization of extra-long urban underwater tunnels was proposed, including the accident analysis, evaluation system, optimization idea, and optimization method. Analysis result shows that the light environment of extra-long urban underwater tunnels mainly has the issues of light and dark adaptation at the entrance and exit, insufficient sight distance caused by changes in the road alignment, the lack of visual reference information in the middle, and the unclear right of way in the overall space of the tunnel. The setting of a visual induction system is a low-cost and effective method to optimize the light environment, which can meet the drivers' visual differentiation needs in different tunnel sections. Drivers' visual demands can be divided into function, safety, comfort, and esthetics from low to high corresponding to the fundamental, safe, comfortable, and rhythmic visual reference systems. The evaluation system can be constructed to evaluate the light environment of extra-long urban underwater tunnels with the indexes of space right of way, human factors, driving tasks, differentiation, and rhythmicity. The light environment optimization of extra-long urban underwater tunnels should combine visual induction with enhanced lighting, while the visual induction system is mainly used to reconstruct the visual reference system. A comfortable visual reference system should be considered as the optimization target in the access zone, threshold zone, interior zone (general area), and exit zone of the tunnel, while the rhythmic visual reference system should be built in the interior reminding and awakening areas. 10 tabs, 8 figs, 43 refs. © 2020, Editorial Department of Journal of Traffic and Transportation Engineering. All right reserved.
引用
收藏
页码:48 / 61
页数:13
相关论文
共 43 条
  • [1] ZHANG Ding-li, Essential issues and their research progress in tunnel and underground engineering, Chinese Journal of Theoretical and Applied Mechanics, 49, 1, pp. 10-28, (2017)
  • [2] WANG Shao-fei, TU Yun, WANG Xiao-jun, Research on design of traffic facilities of underwater road tunnels, Tunnel Construction, 35, 11, pp. 1209-1213, (2015)
  • [3] WANG Meng-shu, Current developments and technical issues of underwater traffic tunnel-discussion on construction scheme of Taiwan Strait undersea railway tunnel, Chinese Journal of Rock Mechanics and Engineering, 27, 11, pp. 2161-2172, (2008)
  • [4] SUN Jun, Study on technological advantages and problems in construction of tunnels crossing rivers and seas, Tunnel Construction, 33, 5, pp. 337-342, (2013)
  • [5] XIAO Ming-qing, Representative projects and development trend of underwater shield tunnels in China, Tunnel Construction, 38, 3, pp. 360-367, (2018)
  • [6] YE Liang, Comparison and study of corridors across the Yangtze River and those abroad, Highway, 61, 5, pp. 120-125, (2016)
  • [7] Review on China's tunnel engineering research: 2015, China Journal of Highway and Transport, 28, 5, pp. 1-65, (2015)
  • [8] ZHOU Jing-jing, WANG Jing, LU Lin-jun, Research on statistical analysis of traffic accident characteristics in the urban river-crossing tunnel, Communication and Shipping, 33, 4, pp. 75-79, (2019)
  • [9] XIE Ya-li, Research on traffic accident segmental dispersion control method in urban extra long tunnels, (2018)
  • [10] LU Lin-jun, LU Jian, XING Ying-ying, Et al., Statistical analysis of traffic accidents in Shanghai river crossing tunnels and safety countermeasures, Discrete Dynamics in Nature and Society, 2014, (2014)