Simulating Human Visual Perception in Tunnel Portals

Changjiang Liu and Qiuping Wang
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Changjiang Liu: School of Civil Engineering, Xi’an University of Architecture & Technology, Xi’an 710055, China
Qiuping Wang: School of Civil Engineering, Xi’an University of Architecture & Technology, Xi’an 710055, China

Sustainability, 2021, vol. 13, issue 7, 1-15

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.

Keywords: vision; human visual; perception; tunnel portal; light adaptation; dark adaptation; adaptation time (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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