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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Detalles Bibliográficos
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:
MULTITUDES
DINAMICA
TRAFICO
PEATONES
Acceso en línea:https://ri.itba.edu.ar/handle/123456789/4036
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
Descripción
Sumario: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.

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