• Latha P H
• Savitha N
• Anitha M

This paper aims to develop an innovative Smart Road Traffic Management System using sensors that combines an Arduino-based platform with an IP camera and object detection algorithms for efficient traffic monitoring and control. The system enhances traffic flow by detecting different vehicle types such as motor cars, motorcycles, lorries, and trucks, and predicting traffic waiting time using real-time vehicle counts. The system's core utilizes the YOLO (You Only Look Once) algorithm, a cutting-edge real-time object detection model, for vehicle identification and classification. The system uses an IP camera installed at traffic intersections to capture live video feeds. These feeds are processed with the YOLO algorithm to identify and classify vehicles in real-time, differentiating between cars, bikes, and trucks. The high speed and accuracy of the YOLO algorithm enable minimal latency, ensuring the traffic data remains current. The Arduino platform is central to processing data from the IP camera and controlling the system's components. After detecting objects, the system counts and categorizes vehicles. This data is used to predict traffic waiting time, which is displayed on Light Emitting Diode (LED) boards at the intersection. These predictions inform drivers of expected wait times, helping to reduce unnecessary idling and improve traffic flow. Additionally, the system uses LED lights to communicate traffic conditions visually. Different colors indicate various levels of congestion, giving drivers an immediate understanding of the traffic situation. For instance, green may signify low congestion, while red indicates heavy traffic, helping drivers make informed decisions. This paper integrates computer vision, real-time data processing, and embedded systems to create a comprehensive solution for modern urban traffic management. By utilizing the YOLO algorithm for vehicle detection and traffic prediction, the system aims to enhance traffic efficiency, reduce congestion, and improve the overall driving experience. The use of Arduino and LED components ensures a cost-effective, scalable solution suitable for various urban environments.

SMART ROAD TRAFFIC MANAGEMENT SYSTEM USING SENSORS

"SMART ROAD TRAFFIC MANAGEMENT SYSTEM USING SENSORS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.g985-g990, july-2021, Available :http://www.jetir.org/papers/JETIR2107851.pdf

"SMART ROAD TRAFFIC MANAGEMENT SYSTEM USING SENSORS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppg985-g990, july-2021, Available at : http://www.jetir.org/papers/JETIR2107851.pdf