This Urban Mobility Analytics platform transforms ordinary traffic footage into a goldmine of actionable insights through advanced computer vision. Using YOLOv8 object detection and custom tracking algorithms, the system identifies and follows vehicles and pedestrians across video frames, analyzing their complete trajectories to reveal traffic patterns, congestion points, and movement behaviors. The interactive Streamlit dashboard makes these complex analyses accessible to non-technical users, offering filterable visualizations that can inform traffic signal optimization, urban planning decisions, and safety improvements. From spotting near-misses to identifying bottlenecks, this end-to-end solution demonstrates how AI can turn everyday street scenes into smart city solutions.
Urban Mobility – Every Vehicle Has a Story
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