IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i12p2208-d120954.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/12/2208/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/9/12/2208/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. Valentín Molina-Moreno & Juan Carlos Leyva-Díaz & Jorge Sánchez-Molina & Antonio Peña-García, 2017. "Proposal to Foster Sustainability through Circular Economy-Based Engineering: A Profitable Chain from Waste Management to Tunnel Lighting," Sustainability, MDPI, vol. 9(12), pages 1-9, December.
    3. Antonio Bracale & Pierluigi Caramia & Pietro Varilone & Paola Verde, 2019. "Probabilistic Estimation of the Energy Consumption and Performance of the Lighting Systems of Road Tunnels for Investment Decision Making," Energies, MDPI, vol. 12(8), pages 1-21, April.
    4. Giuseppe Cantisani & Paola Di Mascio & Laura Moretti, 2018. "Comparative Life Cycle Assessment of Lighting Systems and Road Pavements in an Italian Twin-Tube Road Tunnel," Sustainability, MDPI, vol. 10(11), pages 1-18, November.
    5. Sebastian Ernst & Leszek Kotulski & Adam Sędziwy & Igor Wojnicki, 2023. "Graph-Based Computational Methods for Efficient Management and Energy Conservation in Smart Cities," Energies, MDPI, vol. 16(7), pages 1-21, April.
    6. Adam Sȩdziwy, 2015. "Sustainable Street Lighting Design Supported by Hypergraph-Based Computational Model," Sustainability, MDPI, vol. 8(1), pages 1-13, December.
    7. 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.
    8. Annika K. Jägerbrand, 2016. "LED (Light-Emitting Diode) Road Lighting in Practice: An Evaluation of Compliance with Regulations and Improvements for Further Energy Savings," Energies, MDPI, vol. 9(5), pages 1-15, May.
    9. Lambros T. Doulos & Ioannis Sioutis & Aris Tsangrassoulis & Laurent Canale & Kostantinos Faidas, 2020. "Revision of Threshold Luminance Levels in Tunnels Aiming to Minimize Energy Consumption at No Cost: Methodology and Case Studies," Energies, MDPI, vol. 13(7), pages 1-23, April.
    10. Laura Moretti & Giuseppe Cantisani & Luigi Carrarini & Francesco Bezzi & Valentina Cherubini & Sebastiano Nicotra, 2019. "Italian Road Tunnels: Economic and Environmental Effects of an On-Going Project to Reduce Lighting Consumption," Sustainability, MDPI, vol. 11(17), pages 1-13, August.
    11. Antonio Peña-García & Ferdinando Salata & Iacopo Golasi, 2019. "Decrease of the Maximum Speed in Highway Tunnels as a Measure to Foster Energy Savings and Sustainability," Energies, MDPI, vol. 12(4), pages 1-11, February.
    12. Salata, Ferdinando & Golasi, Iacopo & di Salvatore, Maicol & de Lieto Vollaro, Andrea, 2016. "Energy and reliability optimization of a system that combines daylighting and artificial sources. A case study carried out in academic buildings," Applied Energy, Elsevier, vol. 169(C), pages 250-266.
    13. Yuwei Zhang & Peng Xue & Yifan Zhao & Zhikai Ni & Yani Quan & Jingchao Xie & Jiaping Liu, 2023. "A Novel Evaluation Method of Tunnel Access Zone Luminance Based on Measured Meteorological Data," Sustainability, MDPI, vol. 15(3), pages 1-20, February.
    14. Adam Sȩdziwy & Leszek Kotulski, 2016. "Towards Highly Energy-Efficient Roadway Lighting," Energies, MDPI, vol. 9(4), pages 1-16, April.
    15. Li Qin & Li-Li Dong & Wen-Hai Xu & Li-Dong Zhang & Arturo S. Leon, 2018. "Influence of Vehicle Speed on the Characteristics of Driver’s Eye Movement at a Highway Tunnel Entrance during Day and Night Conditions: A Pilot Study," IJERPH, MDPI, vol. 15(4), pages 1-17, April.
    16. Judit Lopez-Besora & Glòria Serra-Coch & Helena Coch & Antonio Isalgue, 2016. "Daylight Management in Mediterranean Cities: When Shortage Is Not the Issue," Energies, MDPI, vol. 9(9), pages 1-12, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:9:y:2017:i:12:p:2208-:d:120954. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.