Developing a digital twin for testing multi-agent systems in advanced air mobility: a case study of Cranfield University and airport

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dc.contributor.authorConrad, Christopher
dc.contributor.authorDelezenne, Quentin
dc.contributor.authorMukherjee, Anurag
dc.contributor.authorMhowwala, Ali Asgher
dc.contributor.authorAhmed, Mohammad
dc.contributor.authorZhao, Junjie
dc.contributor.authorXu, Yan
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2023-11-22T10:58:05Z
dc.date.available2023-11-22T10:58:05Z
dc.date.issued2023-11-10
dc.description.abstractEmerging unmanned aircraft system (UAS) and advanced air mobility (AAM) ecosystems rely on the development, certification and deployment of new and potentially intelligent technologies and algorithms. To promote a more efficient development life cycle, this work presents a digital twin architecture and environment to support the rapid prototyping and testing of multi-agent solutions for UAS and AAM applications. It leverages the capabilities of Microsoft AirSim and Cesium as plugins within the Unreal Engine 3D visualisation tool, and consolidates the digital environment with a flexible and scalable Python-based architecture. Moreover, the architecture supports hardware-in-the-loop (HIL) and mixed-reality features for enhanced testing capabilities. The system is comprehensively documented and demonstrated through a series of use cases, deployed within a custom digital environment, comprising both indoor and outdoor areas at Cranfield University and Airport. These include collaborative surveillance, UTM flight authorisation and UTM conformance monitoring experiments, that showcase the modularity, scalability and functionality of the proposed architecture. All 3D models and experimental observations are critically evaluated and shown to exhibit promising results. This thereby represents a critical step forward in the development of a robust digital twin for UAS and AAM applications.en_UK
dc.description.sponsorshipUKRI: 10024815en_UK
dc.identifier.citationConrad C, Delezenne Q, Mukherjee A, et al., (2023) Developing a digital twin for testing multi-agent systems in advanced air mobility: a case study of Cranfield University and airport. In: IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC) 2023, 1-5 October 2023, Barcelona, Spainen_UK
dc.identifier.eisbn979-8-3503-3357-2
dc.identifier.isbn979-8-3503-3358-9
dc.identifier.issn2155-7195
dc.identifier.urihttps://doi.org/10.1109/DASC58513.2023.10311333
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20571
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectAdvanced air mobilityen_UK
dc.subjectAirSimen_UK
dc.subjectdigital twinen_UK
dc.subjectmixed-realityen_UK
dc.subjectmulti-agenten_UK
dc.subjectUASen_UK
dc.titleDeveloping a digital twin for testing multi-agent systems in advanced air mobility: a case study of Cranfield University and airporten_UK
dc.typeConference paperen_UK

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