Sustainable Cities through Smart Street Lighting: Big Data, Machine Learning, and IoT Solutions

Abstract

Sustainable urban development is an imperative goal in the face of increasing urbanization and environmental concerns. Smart street lighting systems have emerged as a key element in the pursuit of sustainable cities. This paper explores the integration of big data, machine learning, and the Internet of Things (IoT) in the context of urban street lighting to enhance energy efficiency, reduce environmental impact, and improve overall urban quality of life.