As Smart Connected Cities grow and develop globally (with climate action and safety initiatives being push forward), new methods for information collection, safety monitoring, and renewable energy use are of great value. The primary benefits of Smart Street Lighting are to provide lighting adapted to the movements in a city while having a bird’s eye view of the surroundings, connecting streetlights across a city or region. They provide an optimised lighting services, according to movements and traffic, using electricity more efficiently and collecting data to be used to improve transport networks and traffic safety. The use of LED bulbs with built-in sensors allowing for detection of approaching or departing vehicles and pedestrians, helps enable this.
Impacts of average illuminance, spectral distribution, and uniformity on brightness and safety perceptions under parking lot lighting
In addition to supporting visibility, parking lot lighting should enable people to feel safe and secure while they are walking through a parking lot at night. Previously published research has indicated that perceptions of safety and security under outdoor illumination are correlated with perceptions of scene brightness, which in turn are influenced by the light level in the lot, by the spectral distribution of the illumination, and the uniformity of illumination. However, the interactions and interplay among these factors are not well understood. To address this knowledge gap, two laboratory experiments were conducted using a scale model parking lot scene and a controllable light-emitting diode (LED) lighting system that allowed parametric variations in light level, spectrum and uniformity. From the results, a mathematical model of overall brightness and safety perceptions was developed to predict how different lighting configurations are perceived. The model can be used to help specifiers select lighting systems for parking lot illumination that meet the objectives of reinforcing sensations of personal safety while balancing energy use and cost concerns.
This paper describes a controlled experiment showing a 39% decrease in crime and arrests with improved street lighting.
The presented case study shows that, thanks to
applying the proposed method, one can design a lighting system which has the energy consumption
reduced by up to 70%.