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Traffic Safety Improvement via Optimizing Light Environment in Highway Tunnels

Driving in tunnel areas depends more heavily on light conditions than that on open roadways. Traditional lighting systems in highway tunnels adjust lighting parameters only caring about outside light luminance, and focus is usually on energy conservation; however, little concern is about drivers’ ac...

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Detalles Bibliográficos
Autores principales: Su, Baofeng, Hu, Jiangbi, Zeng, Juncheng, Wang, Ronghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318541/
https://www.ncbi.nlm.nih.gov/pubmed/35886370
http://dx.doi.org/10.3390/ijerph19148517
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author Su, Baofeng
Hu, Jiangbi
Zeng, Juncheng
Wang, Ronghua
author_facet Su, Baofeng
Hu, Jiangbi
Zeng, Juncheng
Wang, Ronghua
author_sort Su, Baofeng
collection PubMed
description Driving in tunnel areas depends more heavily on light conditions than that on open roadways. Traditional lighting systems in highway tunnels adjust lighting parameters only caring about outside light luminance, and focus is usually on energy conservation; however, little concern is about drivers’ actual physical and psychological needs. How to leverage the enormous research progress of traffic safety, light environment, human factors engineering, and modern lighting sources to create an ideal tunnel light environment that aids with ensuring driving safety and lower interference effects caused by the change of light environment will greatly improve safety level and reduce adverse influence on drivers’ visual health in a tunnel area. An intelligent lighting control system designed with multiple influence factors are systematically considered. Based on sensor data from outside natural light conditions, target lighting parameters are determined per each lighting zone requires; then, lighting commands will be transferred and parsed by adaptive lighting controllers and modules, eventually LED lighting properties are altered step by step. This system helps a lot with optimizing tunnel lighting quality and improving drivers’ visual performance; as a result, it contributes to lower the fluctuation of drivers’ workload and get a smooth traffic flow, and ultimately this technically ensures physical and mental health of drivers in a tunnel area.
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spelling pubmed-93185412022-07-27 Traffic Safety Improvement via Optimizing Light Environment in Highway Tunnels Su, Baofeng Hu, Jiangbi Zeng, Juncheng Wang, Ronghua Int J Environ Res Public Health Project Report Driving in tunnel areas depends more heavily on light conditions than that on open roadways. Traditional lighting systems in highway tunnels adjust lighting parameters only caring about outside light luminance, and focus is usually on energy conservation; however, little concern is about drivers’ actual physical and psychological needs. How to leverage the enormous research progress of traffic safety, light environment, human factors engineering, and modern lighting sources to create an ideal tunnel light environment that aids with ensuring driving safety and lower interference effects caused by the change of light environment will greatly improve safety level and reduce adverse influence on drivers’ visual health in a tunnel area. An intelligent lighting control system designed with multiple influence factors are systematically considered. Based on sensor data from outside natural light conditions, target lighting parameters are determined per each lighting zone requires; then, lighting commands will be transferred and parsed by adaptive lighting controllers and modules, eventually LED lighting properties are altered step by step. This system helps a lot with optimizing tunnel lighting quality and improving drivers’ visual performance; as a result, it contributes to lower the fluctuation of drivers’ workload and get a smooth traffic flow, and ultimately this technically ensures physical and mental health of drivers in a tunnel area. MDPI 2022-07-12 /pmc/articles/PMC9318541/ /pubmed/35886370 http://dx.doi.org/10.3390/ijerph19148517 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Project Report
Su, Baofeng
Hu, Jiangbi
Zeng, Juncheng
Wang, Ronghua
Traffic Safety Improvement via Optimizing Light Environment in Highway Tunnels
title Traffic Safety Improvement via Optimizing Light Environment in Highway Tunnels
title_full Traffic Safety Improvement via Optimizing Light Environment in Highway Tunnels
title_fullStr Traffic Safety Improvement via Optimizing Light Environment in Highway Tunnels
title_full_unstemmed Traffic Safety Improvement via Optimizing Light Environment in Highway Tunnels
title_short Traffic Safety Improvement via Optimizing Light Environment in Highway Tunnels
title_sort traffic safety improvement via optimizing light environment in highway tunnels
topic Project Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318541/
https://www.ncbi.nlm.nih.gov/pubmed/35886370
http://dx.doi.org/10.3390/ijerph19148517
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