New methodological approach for glare analysis on tunnel endpoints

, Fathy, Fatma, , , , , & (2020) New methodological approach for glare analysis on tunnel endpoints. In Rodriguez Alvarez, Jorge & Soares Goncalves, Joana Carla (Eds.) PLEA 2020 - Planning Post Carbon Cities: Proceedings of the 35th International Conference on Passive and Low Energy Architecture, Volume 2. Vol. 2. University of A Coruna, Coruna, Spain, pp. 1012-1017.

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Description

When entering and exiting tunnels, high luminance variations may cause severe crashes due to the occurrence of glare and the blackout effect. In this study, we propose a methodology that will effectively minimise the exaggerated light variations that arise over a short distance at the tunnel endpoints. An underpass which has the same characteristics of a tunnel in Brisbane, Australia was selected as a case study; a 3D model of the tunnel was created using Points Clouds, Digital Elevation Model and Open Street Maps. GrasshopperͲforͲRhino was used to merge this information in order to create the tunnel's model. The Radiance lighting simulation engine was used to simulate the High Dynamic Range (HDR) images from the drivers' field of view (FOV) to accurately understand their visual experience. These images were postͲprocessed by Evalglare to conduct advanced daylighting and glare analysis. Luminance maps highlighted the problem of high contrast and glare probability in the tunnel entrance. The beneficial outcome of the proposed methodology is not only evaluating glare problems, but also allowing for the optimisation of preͲtunnel lighting that utilizes daylight to maximize energy savings. Thus, the effectiveness of the solar techniques in reducing the contrast and creating a transitional zone that blends the highly illuminated outside with the dark interior can be evaluated.

Impact and interest:

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ID Code: 203726
Item Type: Chapter in Book, Report or Conference volume (Conference contribution)
ORCID iD:
Wagdy, Aymanorcid.org/0000-0002-1444-3238
Elhenawy, Mohammedorcid.org/0000-0003-2634-4576
Masoud, Mahmoudorcid.org/0000-0002-0130-4327
Garcia Hansen, Veronicaorcid.org/0000-0001-5934-5554
Drogemuller, Robinorcid.org/0000-0001-5746-8980
Black, Alexorcid.org/0000-0002-8671-5167
Measurements or Duration: 6 pages
DOI: 10.17979/spudc.9788497497947
ISBN: 978-84-9749-794-7
Pure ID: 65844907
Divisions: Current > Research Centres > Centre for Data Science
Current > Research Centres > Centre for the Environment
Current > Research Centres > Design Lab
Current > Research Centres > Centre for Future Mobility/CARRSQ
Current > Research Centres > Centre for Vision and Eye Research
Past > QUT Faculties & Divisions > Faculty of Health
Past > QUT Faculties & Divisions > Creative Industries Faculty
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Past > QUT Faculties & Divisions > Science & Engineering Faculty
Past > Schools > School of Built Environment
Current > QUT Faculties and Divisions > Faculty of Science
Current > QUT Faculties and Divisions > Faculty of Creative Industries, Education & Social Justice
Current > QUT Faculties and Divisions > Faculty of Health
Current > Schools > School of Optometry & Vision Science
Current > Research Centres > CARRS-Q Centre for Future Mobility
Funding Information: This research is supported by 2019 IHBI Synergy Partnerships Scheme (2019-2020) and funded by the Queensland University of Technology (QUT), Institute of Health and Biomedical Innovation (IHBI), Creative Industries Faculty (CIF) and Science and Engineering Faculty (SEF).
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Deposited On: 01 Sep 2020 01:46
Last Modified: 01 Jul 2024 00:09