Abstract: The increasing demand for efficient traffic management and sustainable energy utilization has driven the development of intelligent urban infrastructure systems. This paper presents a Smart Street Light and Traffic Control System based on the Arduino Mega 2560, integrating infrared (IR) sensors, RFID technology, and a solar energy module. The system dynamically controls street light intensity based on real-time vehicle detection, thereby reducing energy consumption during low-traffic conditions. Simultaneously, an automated traffic signal mechanism is implemented to regulate vehicle flow at intersections. To enhance emergency response efficiency, RFID-based identification is used to detect emergency vehicles and provide immediate signal priority. In addition, the incorporation of a solar panel enables renewable energy generation and storage, reducing dependency on conventional power sources. The proposed system is cost-effective, scalable, and suitable for smart city applications. Keywords: Smart Traffic System, Arduino Mega 2560, Infrared Sensors, RFID, Intelligent Street Lighting, Energy Efficiency, Smart Cities, Solar Energy. Title: SMART STREET LIGHT AND TRAFFIC MANAGEMENT SYSTEM Author: Prof. Anand Deshkar, Isha Asole, Janhavi Rajurkar, Janvi Deogade, Mamata Vairale, Sneha Gaikwad, Anushree Nimkar International Journal of Novel Research in Electrical and Mechanical Engineering ISSN 2394-9678 Vol. 13, Issue 1, September 2025 - August 2026 Page No: 1-7 Novelty Journals Website: www.noveltyjournals.com Published Date: 18-April-2026 DOI: https://doi.org/10.5281/zenodo.19641533 Paper Download Link (Source) https://www.noveltyjournals.com/upload/paper/SMART%20STREET%20LIGHT%20AND%20TRAFFIC%20MANAGEMENT%20SYSTEM-18042026-2.pdf
Deshkar et al. (Sat,) studied this question.