COVID-19's Effect on Transportation: Developing a Public COVID-19 Data Dashboard
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; and 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.
Language
- English
Project
- Status: Completed
- Funding: $53975
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Contract Numbers:
69A3551747124
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
New York University
Tandon School of Engineering
Brooklyn, NY United States -
Performing Organizations:
Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
New York University
Tandon School of Engineering
Brooklyn, NY United States -
Principal Investigators:
Ozbay, Kaan
Gao, Jingqin
- Start Date: 20200401
- Expected Completion Date: 20220930
- Actual Completion Date: 20220930
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Computer vision; COVID-19; Data mining; Impacts; Traffic simulation; Travel demand
- Subject Areas: Data and Information Technology; Planning and Forecasting; Transportation (General);
Filing Info
- Accession Number: 01781571
- Record Type: Research project
- Source Agency: Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
- Contract Numbers: 69A3551747124
- Files: UTC, RIP
- Created Date: Sep 13 2021 8:01PM