Developing Real-Time Vehicle Detection and Tracking System in Congested Urban Corridors Using Yolov8 and Deepsort: A Case Study From Nigeria

The increasing problem of urban traffic congestion remains a major challenge for rapidly growing cities across the world, especially in developing countries where infrastructure development struggles to keep up with the pace of rising number of vehicles. In light of the limitations of manual traffic monitoring and the high costs of sensor-based systems, this paper introduces a deep learning-based approach for real-time vehicle detection and tracking, which is tailored for environments where reso