Federated Digital Twins and XR for Cultural Heritage: A Collaborative Framework

Gizealew Alazie Dagnaw, Henry Muccini

Abstract

Complex visitor flows, architectural constraints, and data privacy concerns increasingly challenge emergency evacuation planning in cultural heritage sites. This study presents a novel Federated Digital Twin framework integrated with Extended Reality technologies to enhance safety and coordination during emergencies across multiple museums. The federated digital twin leverages federated learning to enable decentralized, privacy-preserving simulation and decision-making without sharing sensitive visitor or infrastructure data. Extended Reality technologies provide immersive, real-time guidance for visitors, including adaptive evacuation routes and scenario-based drills. This approach facilitates cross-institutional collaboration, supports dynamic risk assessment, and ensures responsive evacuation strategies tailored to each museum’s layout and visitor profile. By combining predictive modeling with real-time Extended Reality-assisted feedback, the framework improves evacuation efficiency, reduces bottlenecks, and improves general visitor safety during emergencies.

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IMEKO-Metroarchaeo-2025-083.pdf

DOI

10.21014/tc26-2025.083

IMEKO TC

TC26 - Metrology for Cultural Heritage

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