Cyberinfrastructure for Sustained Scientific Innovation (CSSI) PIs meeting (Seattle, Washington, 02/13/2020–02/14/2020)
01/31/2020
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Abstract
Pedestrian dynamics provides mathematical models that can accurately simulate the movement of individuals in a crowd. These models allow scientists to understand how different policies, such as boarding procedures on planes, can prevent, or make worse, the transmission of infections. This project seeks to develop a novel software that will provide a variety of pedestrian dynamics models, infection spread models, as well as data so that scientists can analyze the effect of different mechanisms on the spread of directly transmitted diseases in crowded areas. The initial focus of this project is on air travel. However, the software can be extended to a broader scope of applications in movement analysis and epidemiology, such as in theme parks and sports venues.
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Cyberinfrastructure for Pedestrian Dynamics-Based Analysis of Infection Propagation Through Air TravelView
Published (Version of record)Poster and presentation for CSSI-2020 PIs meetingCC BY V4.0, Open
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Details
Title
Cyberinfrastructure for Pedestrian Dynamics-Based Analysis of Infection Propagation Through Air Travel
Resource Type
Conference proceeding
Event
Cyberinfrastructure for Sustained Scientific Innovation (CSSI) PIs meeting (Seattle, Washington, 02/13/2020–02/14/2020)
Format
link
Grant note
NSF OAC #1931511
Identifiers
99380178127206600
Academic Unit
Hal Marcus College of Science and Engineering ; Computer Science
Language
English
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Cyberinfrastructure for Pedestrian Dynamics-Based Analysis of Infection Propagation Through Air Travel