Physical distance characterization using pedestrian dynamics simulation

Authors

  • Daniel R. Parisi Instituto Tecnológico de Buenos Aires - CONICET
  • Germán A. Patterson Instituto Tecnológico de Buenos Aires - CONICET https://orcid.org/0000-0001-9035-3042
  • Lucio Pagni Instituto Tecnológico de Buenos Aires
  • Agustina Osimani Instituto Tecnológico de Buenos Aires
  • Tomas Bacigalupo Instituto Tecnológico de Buenos Aires
  • Juan Godfrid Instituto Tecnológico de Buenos Aires
  • Federico M. Bergagna
  • Manuel Rodriguez Brizi Instituto Tecnológico de Buenos Aires
  • Pedro Momesso Instituto Tecnológico de Buenos Aires
  • Fermin L. Gomez Instituto Tecnológico de Buenos Aires
  • Jimena Lozano Instituto Tecnológico de Buenos Aires
  • Juan M. Baader Instituto Tecnológico de Buenos Aires
  • Ignacio Ribas Instituto Tecnológico de Buenos Aires
  • Facundo P. Astiz Meyer Instituto Tecnológico de Buenos Aires
  • Miguel Di Luca Instituto Tecnológico de Buenos Aires
  • Nicolas E. Barrera Instituto Tecnológico de Buenos Aires
  • Ezequiel M. Keimel Álvarez Instituto Tecnológico de Buenos Aires
  • Maite M. Herran Oyhanarte Instituto Tecnológico de Buenos Aires
  • Pedro R. Pingarilho Instituto Tecnológico de Buenos Aires
  • Ximena Zuberbuhler Instituto Tecnológico de Buenos Aires
  • Felipe Gorostiaga Instituto Tecnológico de Buenos Aires

DOI:

https://doi.org/10.4279/pip.140001

Keywords:

Covid-19, Social distance, Pandemic measures

Abstract

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.

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Published

2022-01-28

How to Cite

Parisi, D. R., Patterson, G. A., Pagni, L., Osimani, A., Bacigalupo, T., Godfrid, J., Bergagna, F. M., Rodriguez Brizi, M., Momesso, P., Gomez, F. L., Lozano, J., Baader, J. M., Ribas, I., Astiz Meyer, F. P., Di Luca, M., Barrera, N. E., Keimel Álvarez, E. M., Herran Oyhanarte, M. M., Pingarilho, P. R., Zuberbuhler, X., & Gorostiaga, F. (2022). Physical distance characterization using pedestrian dynamics simulation. Papers in Physics, 14, 140001. https://doi.org/10.4279/pip.140001

Issue

Vol. 14 (2022)

Section

Open Review Articles

License

Copyright (c) 2022 Daniel R. Parisi, Germán A. Patterson, Lucio Pagni, Agustina Osimani, Tomas Bacigalupo, Juan Godfrid, Federico M. Bergagna, Manuel Rodriguez Brizi, Pedro Momesso, Fermin L. Gomez, Jimena Lozano, Juan M. Baader, Ignacio Ribas, Facundo P. Astiz Meyer, Miguel Di Luca, Nicolas E. Barrera, Ezequiel M. Keimel Álvarez, Maite M. Herran Oyhanarte, Pedro R. Pingarilho, Ximena Zuberbuhler, Felipe Gorostiaga

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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