Forecasting Visitors’ behaviour in Crowded 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.
Keywords
pedestrian modelling; complex behaviour; floor usage; data acquisition; museums
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PDFDOI: 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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