NYC Congestion Pricing Analysis
Vision-based analysis of New York City congestion pricing using public traffic-camera observations.
This project studies New York City’s congestion-pricing rollout through automated analysis of public traffic-camera observations.
The work uses citywide camera data to compare traffic patterns before and after the January 2025 policy change, with public visualizations, interactive maps, and a Hugging Face dataset for reproducibility and visualization of results. It extends the broader urban-perception line of work from individual intersections to city-scale policy analysis.
- Role: Lead author
- Artifacts: Preprint on arXiv, project page, interactive map, real-time visualization, and Hugging Face dataset
- Keywords: Congestion pricing, traffic cameras, city-scale computer vision, traffic density, public policy analysis, urban mobility datasets
Links: GitHub, Hugging Face dataset, arXiv, project page, interactive map, real-time map.
