An Extended Reality-based Platform for Digital Twin applications in Urban Air Mobility and Advanced Air Mobility: Framework proposed within MOST Project
Francesca DE CRESCENZIO, Millene GOMES ARAUJO, Sara BAGASSI, Fabrizio LAMBERTI, Filippo Gabriele PRATTICO’, Domenico ACCARDO, Claudia CONTE, Lorenza SABATINO, Marco BAZZANI
Abstract. Urban Air Mobility (UAM) is currently emerging as innovative mobility solution for urban transport. To ensure its seamless integration into existing systems, advanced simulation frameworks are strongly needed. Extended Reality (XR) technologies offer powerful tools to support such simulations. This paper presents a suite of Extended Reality-based integrated simulation and interaction platforms for multipurpose testing of UAM through Digital Twins of missions and scenarios. The platforms combine various hardware and software infrastructures and components, including the IRIS Cave Automatic Virtual Environment (CAVE), an eVTOL passenger simulator, and an Augmented Reality application for drone-based aircraft maintenance. Developed within the framework of the MOST – Sustainable Mobility Project, these platforms aim to support diverse use cases and contribute to the safe and efficient integration of UAM systems.
Keywords
Digital Twin Platform, Extended Reality, Urban Air Mobility, Advanced Air Mobility, Unmanned Aerial Systems
Published online 7/20/2026, 4 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Francesca DE CRESCENZIO, Millene GOMES ARAUJO, Sara BAGASSI, Fabrizio LAMBERTI, Filippo Gabriele PRATTICO’, Domenico ACCARDO, Claudia CONTE, Lorenza SABATINO, Marco BAZZANI, An Extended Reality-based Platform for Digital Twin applications in Urban Air Mobility and Advanced Air Mobility: Framework proposed within MOST Project, Materials Research Proceedings, Vol. 69, pp 1559-1562, 2026
DOI: https://doi.org/10.21741/9781644904251-273
The article was published as article 273 of the book CEAS – AIDAA Conference 2025
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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