A smart street lighting system can save up to 80% of energy costs while maintaining driver safety and comfort.
Researchers developed a smart street lighting system with ISBAK and Panasonic to increase energy efficiency. The system uses automation and machine learning for dimming studies. It aims to control luminous flux without compromising driver safety and comfort.
Abstract
Street lighting is an important part of the energy consumption of cities. With suitable smart lighting systems that increase energy efficiency, it is possible to save on lighting costs substantially. Intelligent street lighting systems generally consist of lamps, ballast and dimming devices located in the area to be illuminated, control units placed in different lighting zones, and central management systems that can manage and monitor these regional controls. With smart lighting systems suitable for energy efficiency, it is possible to save a great deal of lighting costs while protecting the environment. When current projects are examined, it is seen that up to 80% energy savings can be achieved when automation systems are used in street lighting. There is a need for an approach that controls the luminous flux without reducing the driver's safety and comfort, and that performs dimming studies using machine learning methods. In this paper, the smart street lighting system developed jointly by ISBAK and Panasonic is explained.
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