Welcome to the C2SMARTER Manhattan Congestion Tracker!
This interactive data dashboard integrates various public data sources to track congestion in the New York City region’s transportation system. It will update regularly and continue to evolve with the addition of new data, impact metrics, and visualizations.
Dashboards
C2SMARTER Multimodal Density Tracker
This visualization leverages public traffic camera (CCTV) snapshots using advanced computer vision techniques. Comparing weekly density data from 2024 and 2025, we analyze travel pattern changes across modes (vehicles, trucks, pedestrians, and cyclists). Density refers to the average number of road users visible in individual camera snapshots collected every 30 minutes, indicating how crowded a road segment appears at a given time.
MTA Crossing Volumes
MTA tracks the number of vehicles that pass through its nine bridges and tunnels. This visualization shows year-over-year changes at these facilities, including two that connect directly to the congestion pricing zone, the Hugh Carey and Queens-Midtown tunnels.
PANYNJ Crossing Volumes
Port Authority of New York & New Jersey (PANYNJ) tracks the number of vehicles that pass through its bridges and tunnels. This visualization shows year-over-year changes at these facilities, including two that connect directly to the congestion pricing zone, the Lincoln and Holland tunnels.
Vehicle Speeds
Using data from Midtown in Motion, this visualization depicts year-over-year hourly traffic speed changes in Manhattan before and after congestion pricing, specifically the area between 57th and 14th streets.
MTA Bus Speeds
This visualization depicts average monthly MTA bus speeds by route. It can be filtered by routes that are fully within, partially within, or outside of the congestion pricing zone, as well as by service type and time of day.
C2SMARTER Research
Untangling Heterogeneous Passenger and Freight Policy and Program Causal Contributions with Data-Driven Time-of-Day Monitoring and Evaluation Frameworks. As part of work funded by the SEMPACT UTC, this project will create a transportation intervention evaluation framework that quantifies data related to congestion pricing.
Integrating Personalized Incentives and Virtual Reality Tools for Enhanced Transportation System Management. This project in collaboration with North Carolina Agricultural and Technical State University (NCA&T) and industry collaborator Metropia will examine impacts of carpooling incentives in NYC during the congestion pricing era.
What is the New Baseline: Helping FDNY Understand Emergency Response Needs. Our work with FDNY will consider how the agency’s operating conditions may change as a result of congestion pricing.
C2SMARTER’s multi-agent simulation test bed, MATSim-NYC, evaluated congestion pricing scenarios, quantifying the impacts to travelers and showing how they differ between Manhattan residents and others.
He, B.Y., Zhou, J., Ma, Z., Wang, D., Sha, D., Lee, M., Chow, J.Y. and Ozbay, K., 2021. A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City. Transport Policy, 101, pp.145-161.
C2SMARTER researchers used data from Replica to assess congestion pricing impacts on different groups of NYS residents that travel to lower Manhattan.
Ren, X., & Chow, J. Y. (2023). Nonparametric estimation of k-modal taste heterogeneity for group level agent-based mixed logit. arXiv preprint. https://arxiv.org/abs/2309.13159
Disclaimer
The data presented in this dashboard is based on open data feeds and is provided for informative purposes only. C2SMARTER assumes no responsibility or liability for any errors or omissions. Official data on the impacts of congestion pricing are provided by public agencies.For questions or to request data files or reposting of data created by C2SMARTER, please contact us (c2smarter@nyu.edu).