Angelo B. Dela Cruz

Deep Learning and Computer Vision-Based Modeling for a Real-Time Traffic Congestion Monitoring Framework

As intelligent traffic systems evolve to manage complex urban mobility, conventional congestion estimation techniques, such as the time-windowed Volume-to-Capacity (V/C) ratio, fail to capture capture the real-time traffic situation. Because these methods rely on vehicles crossing a specific point, they often fail to r...