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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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| Published in: | arXiv.org 2020-09 |
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| creator | Parisi, Daniel R Patterson, Germán A Pagni, Lucio Osimani, Agustina Bacigalupo, Tomas Godfrid, Juan Bergagna, Federico M Manuel Rodriguez Brizi Momesso, Pedro Gomez, Fermin L Lozano, Jimena Juan Martin Baader Ribas, Ignacio Astiz Meyer, Facundo P Miguel Di Luca Barrera, Nicolás E Ezequiel M Keimel Álvarez Maite M Herran Oyhanarte Pingarilho, Pedro R Zuberbuhler, Ximena Gorostiaga, Felipe |
| 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. |
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| identifier | EISSN: 2331-8422 |
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| issn | 2331-8422 |
| language | eng |
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| source | Publicly Available Content Database |
| subjects | Checkout Occupancy Simulation Trajectory measurement |
| title | Social Distance Characterization by means of Pedestrian Simulation |
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