International Journal of Scientific Research and Engineering Development

This paper presents a smart traffic management system designed to optimize vehicle movement at road intersections and minimize congestion. The proposed system utilizes Arduino Mega and Arduino Nano microcontrollers to manage a four-way junction based on real-time traffic conditions. Infrared (IR) sensors are deployed on each lane to measure vehicle density, allowing dynamic adjustment of signal timings instead of fixed delays. To enhance emergency response, a LoRaWAN module is incorporated to detect signals from emergency vehicles and automatically prioritize their route by switching the traffic signal to green. Additionally, an MQ7 gas sensor is used to monitor carbon monoxide levels produced by vehicular emissions, with live data displayed on an LCD screen. RGB LEDs are used to represent traffic signals, and the system is demonstrated using a prototype model with toy vehicles. This approach offers a cost-effective and scalable solution for intelligent traffic control, improving road safety, reducing waiting time, and contributing to environmental monitoring.

Divya R. Bhatiya, Prof.G.D.Patil, Bharati B. Pathade, Om M. Bhise, Sanket V. Barabde,"Smart Traffic Management System with Emergency Vehicle Priority and Air Quality Tracking" International Journal of Scientific Research and Engineering Development, V9(2): Page(1688-1692) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.