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An Intelligent Luminance Control Method for Tunnel Lighting Based on Traffic Volume

Author

Listed:
  • Li Qin

    (School of Information Science and Technology, Dalian Maritime University, Dalian 116026, China
    Department of Civil and Environmental Engineering, University of Houston, Houston, TX 77204, USA)

  • Li-Li Dong

    (School of Information Science and Technology, Dalian Maritime University, Dalian 116026, China)

  • Wen-Hai Xu

    (School of Information Science and Technology, Dalian Maritime University, Dalian 116026, China)

  • Li-Dong Zhang

    (High Grade Highway Construction Authority of Jilin Province, Jilin 130012, China)

  • Arturo S. Leon

    (Department of Civil and Environmental Engineering, University of Houston, Houston, TX 77204, USA)

Abstract

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.

Suggested Citation

  • Li Qin & Li-Li Dong & Wen-Hai Xu & Li-Dong Zhang & Arturo S. Leon, 2017. "An Intelligent Luminance Control Method for Tunnel Lighting Based on Traffic Volume," Sustainability, MDPI, vol. 9(12), pages 1-12, November.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:12:p:2208-:d:120954
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    References listed on IDEAS

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    1. Ferdinando Salata & Iacopo Golasi & Simone Bovenzi & Emanuele De Lieto Vollaro & Francesca Pagliaro & Lucia Cellucci & Massimo Coppi & Franco Gugliermetti & Andrea De Lieto Vollaro, 2015. "Energy Optimization of Road Tunnel Lighting Systems," Sustainability, MDPI, vol. 7(7), pages 1-17, July.
    2. Ferdinando Salata & Iacopo Golasi & Alessandro Poliziani & Antonio Futia & Emanuele De Lieto Vollaro & Massimo Coppi & Andrea De Lieto Vollaro, 2016. "Management Optimization of the Luminous Flux Regulation of a Lighting System in Road Tunnels. A First Approach to the Exertion of Predictive Control Systems," Sustainability, MDPI, vol. 8(11), pages 1-17, October.
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    Cited by:

    1. Antonio Peña-García & Thi Phuoc Lai Nguyen, 2018. "A Global Perspective for Sustainable Highway Tunnel Lighting Regulations: Greater Road Safety with a Lower Environmental Impact," IJERPH, MDPI, vol. 15(12), pages 1-9, November.
    2. Hsing-Yuan Liao & Sheng-Yen Chen & Hien-Thanh Le & Wei-Lun Gao & Fu-Chun Chang & Chan-Chuan Wen & Yi-Chin Fang & Chao-Hsien Chen & Shun-Hsyung Chang & Hsiao-Yi Lee, 2021. "Design and Prototyping of Efficient LED Counter Beam Light with Free-Formed Surface for Meeting International Tunnel Lighting Standards," Energies, MDPI, vol. 14(2), pages 1-15, January.
    3. Lingna Shi & Yun Tu & Xiaoyu Wang & Shiyong He & Pramod Bhusal & Zeyu Hou & Chaoyu Zhang, 2023. "On-Demand Tunnel Lighting System Utilizing Daylight: A Case Study," Sustainability, MDPI, vol. 15(3), pages 1-14, January.
    4. Shanchuan Yu & Yu Chen & Lang Song & Zhaoze Xuan & Yi Li, 2023. "Modelling and Mitigating Secondary Crash Risk for Serial Tunnels on Freeway via Lighting-Related Microscopic Traffic Model with Inter-Lane Dependency," IJERPH, MDPI, vol. 20(4), pages 1-29, February.
    5. Antonio Ocana-Miguel & Jose Ramon Andres-Diaz & Manuel Jesús Hermoso-Orzáez & Alfonso Gago-Calderón, 2018. "Analysis of the Viability of Street Light Programming Using Commutation Cycles in the Power Line," Sustainability, MDPI, vol. 10(11), pages 1-14, November.

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