Author
Listed:
- Yangjian Yu
(China Railway Siyuan Survey and Design Group Co., Ltd., Wuhan 430063, China)
- Yuwei Zhang
(Beijing Key Laboratory of Green Building Environment and Energy Saving Technology, Beijing University of Technology, Beijing 100124, China
Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China)
- Shaofeng Wang
(China Railway Siyuan Survey and Design Group Co., Ltd., Wuhan 430063, China)
- Ziyi Guo
(Beijing Key Laboratory of Green Building Environment and Energy Saving Technology, Beijing University of Technology, Beijing 100124, China
Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China)
- Zhikai Ni
(Beijing Key Laboratory of Green Building Environment and Energy Saving Technology, Beijing University of Technology, Beijing 100124, China
Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China)
- Peng Xue
(Beijing Key Laboratory of Green Building Environment and Energy Saving Technology, Beijing University of Technology, Beijing 100124, China
Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China)
Abstract
A scientific and logical tunnel entrance lighting environment is an important guarantee for the safety of drivers entering tunnels as well as an essential element for the sustainable development of the tunnel. At present, most of the highway tunnel entrance lighting environment focuses on the road surface luminance and does not consider the variation of correlated color temperatures (CCT) on the driver’s vision in the tunnel access zone. This study analyzes the temporal and spatial variation of the ambient CCT in the driver’s 20° field of view during the approach to the tunnel through field dynamic tests of existing tunnels in the Beijing area. As a result, the CCT received by the driver’s eyes when approaching the tunnel peaks at the midpoint of the tunnel access zone, after which it decreases slowly up to the tunnel portal. Moreover, a calculation model of the CCT outside the tunnel with the solar irradiance, the distance from the tunnel portal, and the CCT of tunnel interior lighting as the input parameters is established. The modeling methodology was validated in a new tunnel, and the calculation model’s average absolute error is within 5%, which could provide guidance for the selection of the tunnel interior lighting CCT and a basis for the design of intelligent control of sustainable lighting systems in tunnels.
Suggested Citation
Yangjian Yu & Yuwei Zhang & Shaofeng Wang & Ziyi Guo & Zhikai Ni & Peng Xue, 2024.
"Spatiotemporal Variation of Correlated Color Temperature in the Tunnel Access Zone,"
Sustainability, MDPI, vol. 16(11), pages 1-17, June.
Handle:
RePEc:gam:jsusta:v:16:y:2024:i:11:p:4838-:d:1409564
Download full text from publisher
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:16:y:2024:i:11:p:4838-:d:1409564. 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.
We have no bibliographic references for this item. You can help adding them by using 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.