Physical distance characterization using pedestrian dynamics simulation

In the present work we study how the number of simulated customers (occupancy) affects social distance in an ideal supermarket, considering realistic typical dimensions and processing times (product selection and checkout). From the simulated trajectories we measure social distance events of less th...

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Bibliographic Details
Published in:Papers in physics 2022-01, Vol.14
Main Authors: Daniel R. Parisi, Germán A. Patterson, Lucio Pagni, Agustina Osimani, Tomas Bacigalupo, Juan Godfrid, Federico M. Bergagna, Manuel Rodriguez Brizi, Pedro Momesso, Fermin L. Gomez, Jimena Lozano, Juan M. Baader, Ignacio Ribas, Facundo P. Astiz Meyer, Miguel Di Luca, Nicolas E. Barrera, Ezequiel M. Keimel Álvarez, Maite M. Herran Oyhanarte, Pedro R. Pingarilho, Ximena Zuberbuhler, Felipe Gorostiaga
Format: Article
Language:English
Subjects:
Covid-19
Pandemic measures
Social distance
Online Access:Get full text
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Summary:In the present work we study how the number of simulated customers (occupancy) affects social distance in an ideal supermarket, considering realistic typical dimensions and processing times (product selection and checkout). From the simulated trajectories we measure social distance events of less than 2 m, and their duration. Among other observables, we define a physical distance coefficient that informs how many events (of a given duration) each agent experiences.
ISSN:1852-4249