Akademik Veri Yönetim Sistemi
LIGHTING RESEARCH & TECHNOLOGY, cilt.51, sa.6, ss.969-977, 2019 (SCI-Expanded)
Road lighting needs to be measured at regular time intervals. In this way, new road lighting projects can be controlled in compliance with the specifications, and existing road lighting luminaires that are damaged or of reduced efficiency can be identified and replaced. Today, lighting measurements are mostly made by using hardware tools that make point measurements. The use of this method requires expert staff, money and time. In this pilot study, artificial intelligence and web-based software were developed to make road lighting measurements using photographs of roads. For this purpose, reference points have been determined on the road. The correlation between luminance values and pixel values of these points was established using artificial intelligence techniques. Artificial neural networks, fuzzy logic and adaptive neuro fuzzy inference system methods are used to establish the correlation. With this software, the difficulties encountered when using the conventional measurement method are reduced; road lighting measurements can be done in a short time, cost-free and online.