In this paper we tackle the issue of measuring and understanding the visitors’ dynamics in a crowded museum in order to create and calibrate a predictive mathematical model. The model is then used as a tool to manage, control and optimize the fruition of the museum. Our contribution comes with one successful use case, the Galleria Borghese in Rome, Italy.
Forecasting visitors’ behaviour in crowded museums / Balzotti, Caterina; Briani, Maya; Corbetta, Alessandro; Cristiani, Emiliano; Minozzi, Marina; Natalini, Roberto; Suriano, Sara; Toschi, Federico. - In: COLLECTIVE DYNAMICS. - ISSN 2366-8539. - 5:(2020). (Intervento presentato al convegno Proceedings from the 9th International Conference on Pedestrian and Evacuation Dynamics (PED2018) tenutosi a Lund, Sweden) [10.17815/CD.2020.82].
Forecasting visitors’ behaviour in crowded museums
Balzotti, Caterina;Cristiani, Emiliano;
2020
Abstract
In this paper we tackle the issue of measuring and understanding the visitors’ dynamics in a crowded museum in order to create and calibrate a predictive mathematical model. The model is then used as a tool to manage, control and optimize the fruition of the museum. Our contribution comes with one successful use case, the Galleria Borghese in Rome, Italy.| File | Dimensione | Formato | |
|---|---|---|---|
|
Balzotti_museums_2020.pdf
solo gestori archivio
Tipologia:
Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
902.62 kB
Formato
Adobe PDF
|
902.62 kB | Adobe PDF | Contatta l'autore |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
