Traffic Safety Improvement via Optimizing Light Environment in Highway Tunnels

Int J Environ Res Public Health. 2022 Jul 12;19(14):8517. doi: 10.3390/ijerph19148517.

Abstract

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.

Keywords: intelligent control; light environment; traffic safety; tunnel lighting; visual health.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Accidents, Traffic*
  • Automobile Driving*
  • Humans
  • Safety
  • Vision, Ocular

Grants and funding

This work was partly supported by the scientific research project of Fujian Expressway Group Co., Ltd., and partly by the Department of Transport of Yunnan Province and partly by the traffic scientific research project of Department of Transport of Shaanxi Province (No. 21-02X).