The tremendous CoVid-19 outbreak has had a significant impact on the lives of people anywhere in the world. Several approaches have been presented with the aim of helping in limiting and mitigating the effect of CoVid-19 infections. This paper proposes a system that exploits Internet of Things (IoT) and Data Visualization to monitor the flow of people in buildings, with the aim of providing policymakers with a tool that visualize and highlight critical issues. The case study considered is a Smart University Campus located in Cesena, belonging to the University of Bologna.

Modelling and visualizing people flow in smart buildings: A case study in a university campus / Tse R.; Mirri S.; Tang S.-K.; Pau G.; Salomoni P.. - ELETTRONICO. - (2021), pp. 309-312. (Intervento presentato al convegno 1st Conference on Information Technology for Social Good, GoodIT 2021 tenutosi a ita nel 2021) [10.1145/3462203.3475877].

Modelling and visualizing people flow in smart buildings: A case study in a university campus

Mirri S.;Pau G.;Salomoni P.
2021

Abstract

The tremendous CoVid-19 outbreak has had a significant impact on the lives of people anywhere in the world. Several approaches have been presented with the aim of helping in limiting and mitigating the effect of CoVid-19 infections. This paper proposes a system that exploits Internet of Things (IoT) and Data Visualization to monitor the flow of people in buildings, with the aim of providing policymakers with a tool that visualize and highlight critical issues. The case study considered is a Smart University Campus located in Cesena, belonging to the University of Bologna.
2021
GoodIT 2021 - Proceedings of the 2021 Conference on Information Technology for Social Good
309
312
Modelling and visualizing people flow in smart buildings: A case study in a university campus / Tse R.; Mirri S.; Tang S.-K.; Pau G.; Salomoni P.. - ELETTRONICO. - (2021), pp. 309-312. (Intervento presentato al convegno 1st Conference on Information Technology for Social Good, GoodIT 2021 tenutosi a ita nel 2021) [10.1145/3462203.3475877].
Tse R.; Mirri S.; Tang S.-K.; Pau G.; Salomoni P.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/838560
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