Development of a Real-Time Traffic Monitoring System using IoT Sensors

The efficient management of urban traffic has become a major concern due to increasing population growth, rapid urbanization, and the rising number of vehicles. Traditional traffic monitoring systems are often limited in their capacity to provide real-time, dynamic data for traffic management. This paper proposes the development of a Real-Time Traffic Monitoring System using IoT sensors, which will provide timely and accurate information on traffic conditions, vehicle flow, and congestion. By integrating various IoT sensors, including cameras, infrared sensors, and inductive loops, the system is designed to monitor traffic patterns continuously and transmit data to a central server for analysis. The system aims to optimize traffic flow, reduce congestion, and enhance overall traffic management by providing actionable insights to traffic authorities in real-time. The proposed system offers significant improvements over traditional traffic management systems in terms of scalability, cost-efficiency, and adaptability to changing traffic conditions