COVID-19's Effect on Transportation: Developing a Public COVID-19 Data Dashboard

Ozbay, Kaan; Gao, Jingqin; Chow, Joseph; Zuo, Fan; Dong, Hang

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COVID-19's Effect on Transportation: Developing a Public COVID-19 Data Dashboard

2022-06-01
By Ozbay, Kaan ; Gao, Jingqin ; Chow, Joseph

File Language:

English

Details

Creators:

Ozbay, Kaan ; Gao, Jingqin ; Chow, Joseph ; Zuo, Fan ; Dong, Hang
Corporate Creators:

Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART)
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Resource Type:

Tech Report
Geographical Coverage:

New York ; Seattle (Washington) ; United States
Edition:

Final Report, 4/01/2020-3/31/2022
Corporate Publisher:

Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART)
Abstract:

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.
Format:

PDF
Funding:

69A3551747119
Download URL:

https://rosap.ntl.bts.gov/view/dot/64738/dot_64738_DS1.pdf
File Type:

[PDF - 4.63 MB]
Collection(s):

Artificial Intelligence Deployment Center of Excellence (AI COE) ; University Transportation Centers
Main Document Checksum:

urn:sha-512:330791de2b2c9c89de5d2b20be2a4e4c9695cef166cfc2eace81b97055a5ab5aadadf1a623495dfec636fbec9e38442780a9553ab7d40d4985822e22ddb14be5

File Language:

English

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