C2SMART COVID-19 Data Dashboard
Welcome to the C2SMART COVID-19 Data Dashboard! This interactive data dashboard consolidates public data sources to track the mobility and sociability impact of the pandemic on transportation systems as it unfolds. This platform will update regularly and continue to evolve with the addition of new data, impact metrics, and visualizations.
Updates:
- NEW! – Monthly Vehicular Traffic at Port Authority Tunnels and Bridges has been added
- NEW! – Social Distancing Safety Rate and Temporal Distributions of Pedestrian, Car and Cyclist charts have been uploaded under “Sociability” Tab
- Most of the data and aggregated statistics will be updated weekly and are open for download
Overview
The COVID-19 outbreak has dramatically changed travel behavior in cities across the world. With changed travel demand, economic activity, and social-distancing/stay-at-home policies, transportation systems have experienced an unprecedented shift in demand and usage. Since the start of the pandemic, the C2SMART research team has been collecting data and investigating the impact of COVID-19 on mobility and sociability, including:
- Passenger travel and freight traffic trends
- Mode shift and usage based on various policies
- Effect of social distancing policies on transit use and emissions
- Sidewalk, crosswalk, and intersection crowd density
- Effect of COVID-19 Policies on Transportation Systems
Leveraging open data from multiple sources, this project features both traditional and innovative techniques，such as data mining and visualization, agent-based traffic simulation model and real-time computer vision technique, to help researchers and transportation authorities understand and observe the impact of the pandemic on transportation.
Webinars
Public Traffic Cams and Computer Vision to Analyze Social Distancing Trends
Developing C2SMART’s Interactive COVID-19 Data Dashboard
Impact of COVID-19 behavioral inertia on reopening strategies for New York City Transit
Remote Capturing of social distancing through advanced video analytics under COVID-19 conditions
- University of Washington (Jingxing Wang, Yanyan Chen, Sai Sarath Chandra Pavuluri Venkata, Xuegang (Jeff) Ban)
- Rutgers University (Chaekuk Na, Hani Nassif)
- Old Dominion University (Hong Yang, Qingyu Ma)
- Cornell University (H. Oliver Gao, Mohammad Tayarani)
- Ulteig (Abdullah Kurkcu)
| Principal Investigator | Kaan Ozbay, NYU |
| Funding Source | C2SMART Center |
| Total Project Cost | $50,000 |
| USDOT Award # | 69A3551747124 |
| Start and End Dates | 4/1/20 – 3/31/22 |
| Implementation of Research Outcomes | |
| Impacts/Benefits of Implementation |
