Physical distance characterization using pedestrian dynamics simulation

In the present work we study how the number of simulated customers (occupancy) af-fects 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 t...

Descripción completa

Guardado en:
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:
Acceso en línea:https://ri.itba.edu.ar/handle/123456789/3953
Aporte de:
Descripción
Sumario:In the present work we study how the number of simulated customers (occupancy) af-fects 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 observ-ables, we define a physical distance coefficient that informs how many events (of a given duration) each agent experiences.