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THE JOURNEY TO MATCHDAY: WORLD CUP MOBILITY INSIGHTS

How Fans Move:
World Cup 2026 at MetLife Stadium

How do tens of thousands of fans move through the Meadowlands before and after a World Cup match? This dashboard, developed through research by the NYU C2SMART Center, combines unique Edge-AI observations inside the sports complex with third-party roadway data. Findings cover multiple World Cup matchdays at MetLife Stadium, including the July 19 final.

Edge-AI pedestrian detections near MetLife Stadium
FINAL INCLUDEDWorld Cup Final | July 19

What this dashboard reveals

Inside the sports complex

Edge-AI cameras reveal when and where fans arrive and depart across the NJ TRANSIT Rail Area, Pedestrian Bridge, and NJ TRANSIT shuttle-bus terminal.

Around the stadium

Traffic analysis is being prepared for a future public release.

Across different matchdays

Cross-match views compare weekend afternoons, weekday afternoons, and weekday evenings before users explore an individual match.

Did infrastructure and operations improve crowd flow?

Explore changes in pedestrian flow and peak bottleneck intensity following construction of the new pedestrian bridge and coordinated World Cup crowd-management operations.

Explore the evidence

RESEARCH CONTEXT

About the Data and Methodology

Pedestrian insights are preliminary and are derived from an enhanced computer-vision crowd detection method developed by the NYU C2SMART team using two Edge AI camera views. The estimates reflect pedestrian activity visible within the monitored fields of view and counting lines and do not represent total attendance or all pedestrian movements in and around the venue.

Privacy and Data Protection Note: Video data are used solely to analyze aggregate pedestrian and transportation patterns. Any imagery used in the research is anonymized so that individuals' faces are not recognizable, and the analysis does not identify or track specific people. The dashboard presents only de-identified, aggregated counts and movement patterns.

Although the detection method has been enhanced for high-density crowd conditions, accuracy may be affected by crowding and occlusion, camera angle and distance, weather, lighting conditions, staff activity, and people who remain stationary or stop to take photos. As a result, the estimates may differ from officially reported counts and should be interpreted as indicators of pedestrian activity and movement patterns rather than exact or comprehensive pedestrian counts.

Traffic insights are based in part on third-party data and are subject to the provider's coverage, methodology, classifications, and data availability. They may not correspond directly with official agency-reported traffic conditions. All findings are provided for research and informational purposes and may be refined as additional data and validation become available. For more information about the methodology, please see here.

Acknowledgement: This research project was developed by the New York University C2SMART Center in partnership with the New Jersey Sports and Exposition Authority (NJSEA) and AIWaysion, with support from MetLife Stadium. It builds on research initially funded by the SEMPACT Center through the U.S. Department of Transportation's University Transportation Centers (UTC) Program.
Disclaimer: The findings are those of the research team and do not necessarily represent the views of NJSEA, MetLife Stadium, or the U.S. Department of Transportation.

Have Questions or Feedback?

For any inquiries or feedback, please contact Dr. Jingqin (Jannie) Gao jingqin.gao@nyu.edu.