Smart Street Light Monitoring and Control Using Internet of Things Technology

Abstract

Traditional street lighting systems account for a significant portion of municipal energy consumption while operating inefficiently at a fixed intensity regardless of actual traffic density. This project presents a "Smart Street Light System" designed to dynamically optimize energy consumption and prioritize emergency vehicle transit. By utilizing a network of hardware sensors to measure real-time vehicle strength and density, the system adaptively modulates the brightness of LED street lamps. Furthermore, integrated sensor logic detects approaching emergency vehicles (such as ambulances and fire engines), overriding standard operational states to establish an instantaneous green corridor effect. The prototype successfully demonstrates an automated, cost-effective, and highly responsive infrastructure solution tailored for modern smart cities.