Forecasting Visitors’ behaviour in Crowded Museums

Caterina Balzotti; Maya Briani; Alessandro Corbetta; Emiliano Cristiani; Marina Minozzi; Roberto Natalini; Sara Suriano; Federico Toschi

doi:10.17815/CD.2020.82

Forecasting Visitors’ behaviour in Crowded Museums

Authors

Caterina Balzotti Dipartimento di Scienze di Base e Applicate per l'Ingegneria, Sapienza Università di Roma, Rome, Italy
Maya Briani Istituto per le Applicazioni del Calcolo, Consiglio Nazionale delle Ricerche, Rome, Italy
Alessandro Corbetta Eindhoven University of Technology, Department of Applied Physics, Eindhoven, The Netherlands
Emiliano Cristiani Istituto per le Applicazioni del Calcolo, Consiglio Nazionale delle Ricerche, Rome, Italy
Marina Minozzi Galleria Borghese, Rome, Italy
Roberto Natalini Istituto per le Applicazioni del Calcolo, Consiglio Nazionale delle Ricerche, Rome, Italy
Sara Suriano Dipartimento di Matematica, Sapienza Università di Roma, Rome, Italy
Federico Toschi Istituto per le Applicazioni del Calcolo, Consiglio Nazionale delle Ricerche, Rome, Italy and Department of Applied Physics, Eindhoven University of Technology, Eindhoven, The Netherlands

DOI:

https://doi.org/10.17815/CD.2020.82

Keywords:

pedestrian modelling, complex behaviour, floor usage, data acquisition, museums

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.

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Published

12.08.2020

How to Cite

Balzotti, C., Briani, M., Corbetta, A., Cristiani, E., Minozzi, M., Natalini, R., … Toschi, F. (2020). Forecasting Visitors’ behaviour in Crowded Museums. Collective Dynamics, 5, 499–501. https://doi.org/10.17815/CD.2020.82

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Issue

Vol. 5 (2020)

Section

Proceedings of Pedestrian and Evacuation Dynamics 2018

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