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arXiv

LODUS: A Multi-Level Framework for Simulating Environment and Population - A Contagion Experiment on a Pandemic World

作     者:Silva, Gabriel Fonseca Cassol, Vinícius Neto, Amyr Borges Fortes Antonitsch, Andre Schaffer, Diogo Musse, Soraia Raupp de Marsillac Linn, Rodrigo 

作者机构:Virtual Humans Simulation Laboratory Graduate Course in Computer Science School of Technology Pontifical Catholic University of Rio Grande do Sul Brazil Planning and Management Porto Alegre City Hall - RS Brazil 

出 版 物:《arXiv》 (arXiv)

年 卷 期:2022年

核心收录:

主  题:Managers 

摘      要:Nowadays we are experiencing a way of life that never existed before. The pandemic has sharply changed our habits, customs, and behavior. In addition, a lot of work was suddenly requested for city managers challenging them to develop strategies to try stopping the pandemic progression. Urban environments must be dynamic and managers need fast decisions when working on crisis situations. In this paper we present LODUS, a framework able to simulate urban environments on a multi-level approach, combining macro and micro simulation information in order to provide accurate information about population dynamics. Furthermore, the framework LODUS is a powerful tool when performing an urban viability study, since the simulation results are able to highlight and predict attention points prior to an urban environment to be built. © 2022, CC BY.

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