A Vision-Based Analysis of Congestion Pricing in New York City
This addresses traffic management for urban planners and policymakers, but it is incremental as it applies an existing method to new data.
The study analyzed the impact of New York City's congestion pricing program by processing traffic camera data from over 900 cameras, comparing patterns from November 2024 to January 2026, and identified systematic changes in vehicle density.
We examine the impact of New York City's congestion pricing program through automated analysis of traffic camera data. Our computer vision pipeline processes footage from over 900 cameras distributed throughout Manhattan and New York, comparing traffic patterns from November 2024 through the program's implementation in January 2025 until January 2026. We establish baseline traffic patterns and identify systematic changes in vehicle density across the monitored region.