We offer integrated tools for the acquisition, analysis, modelling and optimization of visitor flows in museums characterized by frequent congestion and/or complex geometries. Our intervention is divided into 4 phases:
1) Data acquisition related to the paths followed by visitors in the museum, number of visitors in the rooms, time of permanence, ... The acquisition is performed via a specific IoT system, smartphone app or manual counting.
2) Analysis of how the museum is used and recognition of critical issues (e.g., overcrowding, lack of interest in the artworks, ...).
3) Creation of a digital twin of the museum through mathematical modelling and creation of what-if scenarios.
4) Suggestions for possible different positioning of the entrances/exits, different visit paths or different placement of the artworks, with the aim of optimizing visitor flows, the usage of the exhibition spaces and the anthropic impact on the artworks.
We offer a complete study of visitor flows that differs from the simple measurement of presence in the rooms in real time. The analysis allows the museum management to better know the behavior of visitors, the most followed paths, the artworks observed and in general the interest in the visit. By optimizing pedestrian flows, congestion can be avoided and the visiting experience can be improved. The analysis of visitor flows can also be related to environmental parameters (temperature, humidity, CO2) to evaluate the impact of visitors on the artworks.