Open AccessPhysical distance characterization using pedestrian dynamics simulation
Author(s) -
Daniel R. Parisi,
G. A. Patterson,
Lucio Pagni,
Agustina Osimani,
Tomas Bacigalupo,
Juan Godfrid,
Federico M. Bergagna,
Manuel Rodriguez Brizi,
Pedro Momesso,
Fermin L. Gomez,
Jimena Lozano,
Juan Martin Baader,
Ignacio Ribas,
Facundo P. Astiz Meyer,
Miguel Di Luca,
Nicolás E. Barrera,
Ezequiel M. Keimel Álvarez,
Maite M. Herran Oyhanarte,
Pedro R. Pingarilho,
Ximena Zuberbuhler,
Felipe Gorostiaga
Publication year - 2022
Publication title -
papers in physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.149
H-Index - 10
ISSN - 1852-4249
DOI - 10.4279/pip.140001
Subject(s) - pedestrian , measure (data warehouse) , occupancy , duration (music) , product (mathematics) , social force model , observable , statistical physics , computer science , ideal (ethics) , statistics , simulation , mathematics , engineering , physics , data mining , transport engineering , acoustics , architectural engineering , philosophy , geometry , epistemology , quantum mechanics
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.