Journal
SUSTAINABILITY
Volume 9, Issue 12, Pages -Publisher
MDPI
DOI: 10.3390/su9122208
Keywords
intelligent control; LED; traffic flow; tunnel lighting
Funding
- National Natural Science Foundation of China [61701069]
- Fundamental Research Funds for the Central Universities of China [3132016351, 3132017077]
- Transportation Science AMP
- Technology of Jilin Province of China [2014-4-1-3]
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This paper presents an intelligent control method for tunnel lighting based on traffic volume. The monitoring data for a period of 12 days of the Chibai tunnel (located in the Jilin province of China) under different weather conditions was selected as the case study. The data used in the analysis included traffic volume, vehicle speed, the time of light-emitting diodes (LEDs) operating at their lowest luminance level, and the average time interval between two consecutive vehicles. The traffic flow analysis indicated that the tunnel has a relatively heavy traffic volume in the daytime (7:00 a.m. to 6:00 p.m.) and a relatively low traffic volume in the nighttime (12:00 a.m. to 6:00 a.m. and 7:00 p.m. to 12:00 a.m.). Thus, we propose a tunnel lighting control method that distinguishes day and night operational strategies. In the daytime, the luminance of tunnel zones depends on tunnel exterior luminance, traffic volume and vehicle speed regardless of vehicle presence. In the night, the vehicle in, light brightens; vehicle out, light darkens control method is adopted for the tunnel luminance, which depends on vehicle presence.
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