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Simulating Human Visual Perception in Tunnel Portals

Author

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  • Changjiang Liu

    (School of Civil Engineering, Xi’an University of Architecture & Technology, Xi’an 710055, China
    Shaanxi Province Transport Planning Design and Research Institute, Xian 710065, China)

  • Qiuping Wang

    (School of Civil Engineering, Xi’an University of Architecture & Technology, Xi’an 710055, China)

Abstract

To study the characteristics of light and dark adaptation in tunnel portals, and to determine the influencing factors in light–dark vision adaptation, basic tunnel lighting and linear design data were obtained. In this study, we used a light-shielded tent to simulate the dark environment of a tunnel, observe the driver recognition time for target objects during the light–dark adaptation process, and analyze the light–dark adaptation time of human vision. Based on the experimental data, we examined the relationships between age, gender, illuminance, and light and dark adaptation times, and established a model for these relationships. The experimental results show that the dark adaptation time is generally longer than the light adaptation time. The dark adaptation time is positively related to age and exhibits a cubic relationship. There is no significant correlation between the light adaptation time and age, but the overall trend is for the light adaptation time to gradually increase with increasing age. There is no correlation between gender and light and dark adaptation times, but there is a notable correlation between light and dark adaptation times and illuminance. When the illuminance ranges from 11,000 to 13,000 lux, the light and dark adaptation times are the longest.

Suggested Citation

  • Changjiang Liu & Qiuping Wang, 2021. "Simulating Human Visual Perception in Tunnel Portals," Sustainability, MDPI, vol. 13(7), pages 1-15, March.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:7:p:3741-:d:525208
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    Citations

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    Cited by:

    1. Piotr Jaskowski & Piotr Tomczuk & Marcin Chrzanowicz, 2022. "Construction of a Measurement System with GPS RTK for Operational Control of Street Lighting," Energies, MDPI, vol. 15(23), pages 1-22, December.
    2. Zhongxiang Feng & Miaomiao Yang & Yingjie Du & Jin Xu & Congjun Huang & Xu Jiang, 2021. "Effects of the Spatial Structure Conditions of Urban Underpass Tunnels’ Longitudinal Section on Drivers’ Physiological and Behavioral Comfort," IJERPH, MDPI, vol. 18(20), pages 1-20, October.
    3. Fangtong Jiao & Zhigang Du & Haoran Zheng & Shoushuo Wang & Lei Han & Can Chen, 2021. "Visual Characteristics of Drivers at Different Sections of an Urban Underpass Tunnel Entrance: An Experimental Study," Sustainability, MDPI, vol. 13(9), pages 1-12, May.

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