Machine learning and mixed reality for smart aviation: applications and challenges

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dc.contributor.authorJiang, Yirui
dc.contributor.authorTran, Trung Hieu
dc.contributor.authorWilliams, Leon
dc.date.accessioned2023-06-30T09:24:08Z
dc.date.available2023-06-30T09:24:08Z
dc.date.issued2023-06-04
dc.description.abstractThe aviation industry is a dynamic and ever-evolving sector. As technology advances and becomes more sophisticated, the aviation industry must keep up with the changing trends. While some airlines have made investments in machine learning and mixed reality technologies, the vast majority of regional airlines continue to rely on inefficient strategies and lack digital applications. This paper investigates the state-of-the-art applications that integrate machine learning and mixed reality into the aviation industry. Smart aerospace engineering design, manufacturing, testing, and services are being explored to increase operator productivity. Autonomous systems, self-service systems, and data visualization systems are being researched to enhance passenger experience. This paper investigate safety, environmental, technological, cost, security, capacity, and regulatory challenges of smart aviation, as well as potential solutions to ensure future quality, reliability, and efficiency.en_UK
dc.identifier.citationJiang Y, Tran TH, Williams L. (2023) Machine learning and mixed reality for smart aviation: applications and challenges. Journal of Air Transport Management, Volume 111, August 2023, Article number 102437en_UK
dc.identifier.issn0969-6997
dc.identifier.urihttps://doi.org/10.1016/j.jairtraman.2023.102437
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/19911
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectAerospace engineeringen_UK
dc.subjectArtificial intelligence;en_UK
dc.subjectIntelligent aviationen_UK
dc.subjectMachine learningen_UK
dc.subjectMixed realityen_UK
dc.subjectPassenger experienceen_UK
dc.subjectSmart aviationen_UK
dc.titleMachine learning and mixed reality for smart aviation: applications and challengesen_UK
dc.typeArticleen_UK

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