Forecasting Visitors’ behaviour in Crowded Museums

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

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.

Keywords


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

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DOI: http://dx.doi.org/10.17815/CD.2020.82

Copyright (c) 2020 Caterina Balzotti, Maya Briani, Alessandro Corbetta, Emiliano Cristiani, Marina Minozzi, Roberto Natalini, Sara Suriano, Federico Toschi

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This work is licensed under a Creative Commons Attribution 4.0 International License.