Optimizing public street lighting and redesign of public road lighting based on DIALux and fuzzy logic

Abstract

Road lighting is one of the most important infrastructures in an urban area, one of its main functions is to provide comfort for road users as well as crime prevention at night. But besides having various functions, public street lighting systems must comply with standards and also pay attention to aspects of energy efficiency. This study discusses the optimization of using artificial intelligence with civil fuzzy logic methods to obtain a level of evenness that is in accordance with the standard, with input variables such as road width, pole height, lamp power and mounting distance between poles. Then the results of the Mamdani fuzzy logic are used as the basis for re-design input using DIALux and some additional input according to the standard criteria contained in the DIALux software. The results of this study indicate that both the level of evenness and other aspects have met the standards and also have energy savings of up to 58.6% of the existing conditions, this research is expected to be a recommendation in the design of street lighting.