A real-time traffic flow prediction framework for Ho Chi Minh city using camera based vehicle counting and transfer learning
Traffic congestion in Ho Chi Minh City creates an urgent need for real-time traffic flow forecasting systems to support traffic monitoring and management. However, traffic data collected from cameras are often limited, noisy, and difficult to directly exploit for forecasting models. This study proposes an end-to-end re...