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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Autores principales: Parisi, Daniel, Patterson, Germán, Pagni, Lucio, Osimani, Lucía, Bacigalupo, Tomás, Godfrid, Juan, Bergagna, Federico M., Brizi, Manuel Rodríguez, Momesso, Pedro, Gómez, Fermín, Lozano, Jimena, Baader, Juan M., Ribas, Ignacio, Astiz Meyer, Facundo, Di Luca, Miguel, Barrera, Nicolás Enrique, Keimel Álvarez, Ezequiel Martín, Herrán Oyhanarte, Maite Mercedes, Pingarilho, Pedro Remigio, Zuberbuhler, Ximena, Gorostiaga, Felipe
Formato: Artículo de Publicaciones Periódicas publishedVersion
Lenguaje:Inglés
Publicado: 2022
Materias:
Acceso en línea:https://ri.itba.edu.ar/handle/123456789/4036
Aporte de:
id I32-R138-123456789-4036
record_format dspace
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic MULTITUDES
DINAMICA
TRAFICO
PEATONES
spellingShingle MULTITUDES
DINAMICA
TRAFICO
PEATONES
Parisi, Daniel
Patterson, Germán
Pagni, Lucio
Osimani, Lucía
Bacigalupo, Tomás
Godfrid, Juan
Bergagna, Federico M.
Brizi, Manuel Rodríguez
Momesso, Pedro
Gómez, Fermín
Lozano, Jimena
Baader, Juan M.
Ribas, Ignacio
Astiz Meyer, Facundo
Di Luca, Miguel
Barrera, Nicolás Enrique
Keimel Álvarez, Ezequiel Martín
Herrán Oyhanarte, Maite Mercedes
Pingarilho, Pedro Remigio
Zuberbuhler, Ximena
Gorostiaga, Felipe
Social distance characterization by means of pedestrian simulation
topic_facet MULTITUDES
DINAMICA
TRAFICO
PEATONES
description 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.
format Artículo de Publicaciones Periódicas
publishedVersion
author Parisi, Daniel
Patterson, Germán
Pagni, Lucio
Osimani, Lucía
Bacigalupo, Tomás
Godfrid, Juan
Bergagna, Federico M.
Brizi, Manuel Rodríguez
Momesso, Pedro
Gómez, Fermín
Lozano, Jimena
Baader, Juan M.
Ribas, Ignacio
Astiz Meyer, Facundo
Di Luca, Miguel
Barrera, Nicolás Enrique
Keimel Álvarez, Ezequiel Martín
Herrán Oyhanarte, Maite Mercedes
Pingarilho, Pedro Remigio
Zuberbuhler, Ximena
Gorostiaga, Felipe
author_facet Parisi, Daniel
Patterson, Germán
Pagni, Lucio
Osimani, Lucía
Bacigalupo, Tomás
Godfrid, Juan
Bergagna, Federico M.
Brizi, Manuel Rodríguez
Momesso, Pedro
Gómez, Fermín
Lozano, Jimena
Baader, Juan M.
Ribas, Ignacio
Astiz Meyer, Facundo
Di Luca, Miguel
Barrera, Nicolás Enrique
Keimel Álvarez, Ezequiel Martín
Herrán Oyhanarte, Maite Mercedes
Pingarilho, Pedro Remigio
Zuberbuhler, Ximena
Gorostiaga, Felipe
author_sort Parisi, Daniel
title Social distance characterization by means of pedestrian simulation
title_short Social distance characterization by means of pedestrian simulation
title_full Social distance characterization by means of pedestrian simulation
title_fullStr Social distance characterization by means of pedestrian simulation
title_full_unstemmed Social distance characterization by means of pedestrian simulation
title_sort social distance characterization by means of pedestrian simulation
publishDate 2022
url https://ri.itba.edu.ar/handle/123456789/4036
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