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

Issue

Section

Proceedings of Pedestrian and Evacuation Dynamics 2018