AIWaysion

AI Video Analytics for Multimodal Traffic Safety and Design Countermeasures at Burke-Gilman Trail Crossings

This project develops an AI video analytics pipeline to quantify safety risks at the NW 43rd St and 8th Ave NW intersection in Seattle's Ballard neighborhood, where the Burke Gilman Trail crosses local streets. Sponsored by AIWaysion, the system integrates YOLO26 detection, BoT SORT tracking, CVAT based labeling, homography calibration, and short horizon trajectory prediction to compute time to collision and post encroachment time metrics. Outputs include conflict heatmaps and evidence based countermeasure recommendations for City of Seattle stakeholders to support data driven roadway safety decisions.