Social Distance Characterization by means of Pedestrian Simulation

In the present work, we study how the number of simulated clients (occupancy) affects the social distance in an ideal supermarket. For this, we account for realistic typical dimensions and process time (picking products and checkout). From the simulated trajectories, we measure events of social dist...

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Bibliographic Details
Published in:arXiv.org 2020-09
Main Authors: Parisi, Daniel R, Patterson, Germán A, Pagni, Lucio, Osimani, Agustina, Bacigalupo, Tomas, Godfrid, Juan, Bergagna, Federico M, Manuel Rodriguez Brizi, Momesso, Pedro, Gomez, Fermin L, Lozano, Jimena, Juan Martin Baader, Ribas, Ignacio, Astiz Meyer, Facundo P, Miguel Di Luca, Barrera, Nicolás E, Ezequiel M Keimel Álvarez, Maite M Herran Oyhanarte, Pingarilho, Pedro R, Zuberbuhler, Ximena, Gorostiaga, Felipe
Format: Article
Language:English
Subjects:
Checkout
Occupancy
Simulation
Trajectory measurement
Online Access:Get full text
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Summary:In the present work, we study how the number of simulated clients (occupancy) affects the social distance in an ideal supermarket. For this, we account for realistic typical dimensions and process time (picking products and checkout). From the simulated trajectories, we measure events of social distance less than 2 m and its duration. Between other observables, we define a social distance coefficient that informs how many events (of a given duration) suffer each agent in the system. These kinds of outputs could be useful for building procedures and protocols in the context of a pandemic allowing to keep low health risks while setting a maximum operating capacity.
ISSN:2331-8422