IDEAS home Printed from https://ideas.repec.org/a/eee/jaitra/v111y2023ics0969699723000807.html
   My bibliography  Save this article

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

Author

Listed:
  • Jiang, Yirui
  • Tran, Trung Hieu
  • Williams, Leon

Abstract

The 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.

Suggested Citation

  • Jiang, Yirui & Tran, Trung Hieu & Williams, Leon, 2023. "Machine learning and mixed reality for smart aviation: Applications and challenges," Journal of Air Transport Management, Elsevier, vol. 111(C).
    • Handle: RePEc:eee:jaitra:v:111:y:2023:i:c:s0969699723000807
    DOI: 10.1016/j.jairtraman.2023.102437
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969699723000807
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jairtraman.2023.102437?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Alamdari, Fariba, 1999. "Airline in-flight entertainment: the passengers’ perspective," Journal of Air Transport Management, Elsevier, vol. 5(4), pages 203-209.
    2. Rodríguez-Sanz, à lvaro & Fernández de Marcos, Alberto & Pérez-Castán, Javier A. & Comendador, Fernando Gómez & Arnaldo Valdés, Rosa & París Loreiro, à ngel, 2021. "Queue behavioural patterns for passengers at airport terminals: A machine learning approach," Journal of Air Transport Management, Elsevier, vol. 90(C).
    3. Gold, Lukas & Balal, Esmaeil & Horak, Tomas & Cheu, Ruey Long & Mehmetoglu, Tugba & Gurbuz, Okan, 2019. "Health screening strategies for international air travelers during an epidemic or pandemic," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 27-38.
    4. Barakat, H. & Yeniterzi, R. & Martín-Domingo, L., 2021. "Applying deep learning models to twitter data to detect airport service quality," Journal of Air Transport Management, Elsevier, vol. 91(C).
    5. Zaharuzaman Jamaluddin & Abdul Khabir Rahmat, 2023. "Artificial Intelligence Technology in Travel, Tourism and Hospitality: Current and Future Developments," Springer Books, in: Azizul Hassan & Nor Aida Abdul Rahman (ed.), Technology Application in Aviation, Tourism and Hospitality, chapter 0, pages 169-177, Springer.
    6. Serrano, Francisco & Kazda, Antonín, 2020. "The future of airports post COVID-19," Journal of Air Transport Management, Elsevier, vol. 89(C).
    7. Collins Opoku Antwi & Jun Ren & Wilberforce Owusu-Ansah & Henry Kofi Mensah & Michael Osei Aboagye, 2021. "Airport Self-Service Technologies, Passenger Self-Concept, and Behavior: An Attributional View," Sustainability, MDPI, vol. 13(6), pages 1-18, March.
    8. Bogdan AVRAM, 2017. "Ancillaries in the Aviation Industry. Importance, Trends, Going Digital," Expert Journal of Marketing, Sprint Investify, vol. 5(2), pages 53-65.
    9. ., 2023. "Intelligence activities and international law," Chapters, in: The Regulation of Intelligence Activities under International Law, chapter 2, pages 32-69, Edward Elgar Publishing.
    10. Zhe George Zhang, 2009. "Performance Analysis of a Queue with Congestion-Based Staffing Policy," Management Science, INFORMS, vol. 55(2), pages 240-251, February.
    11. Adrienne, Nena & Budd, Lucy & Ison, Stephen, 2020. "Grounded aircraft: An airfield operations perspective of the challenges of resuming flights post COVID," Journal of Air Transport Management, Elsevier, vol. 89(C).
    12. ., 2023. "Intellectual bias," Chapters, in: On the Methodology of Financial Economics, chapter 2, pages 18-47, Edward Elgar Publishing.
    13. Stephen C. Slota & Kenneth R. Fleischmann & Sherri Greenberg & Nitin Verma & Brenna Cummings & Lan Li & Chris Shenefiel, 2023. "Locating the work of artificial intelligence ethics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(3), pages 311-322, March.
    14. Sun, Xiaoqian & Wandelt, Sebastian & Zhang, Anming, 2020. "How did COVID-19 impact air transportation? A first peek through the lens of complex networks," Journal of Air Transport Management, Elsevier, vol. 89(C).
    15. N. Thamaraiselvan & S. Thanigai Arul & Dharun Kasilingam, 2019. "Understanding the intention to use self service technologies in the airline industry," International Journal of Services, Economics and Management, Inderscience Enterprises Ltd, vol. 10(2), pages 89-109.
    16. Lambelho, Miguel & Mitici, Mihaela & Pickup, Simon & Marsden, Alan, 2020. "Assessing strategic flight schedules at an airport using machine learning-based flight delay and cancellation predictions," Journal of Air Transport Management, Elsevier, vol. 82(C).
    17. Yirui Jiang & Runjin Yang & Chenxi Zang & Zhiyuan Wei & John Thompson & Trung Hieu Tran & Adriana Encinas-Oropesa & Leon Williams, 2021. "Toward Baggage-Free Airport Terminals: A Case Study of London City Airport," Sustainability, MDPI, vol. 14(1), pages 1-24, December.
    18. Francesca Bonetti & Gary Warnaby & Lee Quinn, 2018. "Augmented Reality and Virtual Reality in Physical and Online Retailing: A Review, Synthesis and Research Agenda," Progress in IS, in: Timothy Jung & M. Claudia tom Dieck (ed.), Augmented Reality and Virtual Reality, pages 119-132, Springer.
    19. Sun, Sunny Li & Choi, Yoona & Guo, Feng & Guo, Jinyu & Zou, Bo & Cui, Lin, 2023. "Winning intellectual property rights lawsuits in China," Journal of World Business, Elsevier, vol. 58(3).
    20. ., 2023. "The artificial intelligence ecosystem," Chapters, in: The Rise of Algorithmic Society and the Strategic Role of Arts and Culture, chapter 2, pages 6-30, Edward Elgar Publishing.
    21. Roland W. Scholz & Eric J. Bartelsman & Sarah Diefenbach & Lude Franke & Arnim Grunwald & Dirk Helbing & Richard Hill & Lorenz Hilty & Mattias Höjer & Stefan Klauser & Christian Montag & Peter Parycek, 2018. "Unintended Side Effects of the Digital Transition: European Scientists’ Messages from a Proposition-Based Expert Round Table," Sustainability, MDPI, vol. 10(6), pages 1-48, June.
    22. Melody M. Chao & Angela T. Maitner & Franki Y. H. Kung, 2023. "Cultural intelligence from an intergroup perspective," Chapters, in: David C. Thomas & Yuan Liao (ed.), Handbook of Cultural Intelligence Research, chapter 23, pages 379-396, Edward Elgar Publishing.
    23. Schultz, Michael & Evler, Jan & Asadi, Ehsan & Preis, Henning & Fricke, Hartmut & Wu, Cheng-Lung, 2020. "Future aircraft turnaround operations considering post-pandemic requirements," Journal of Air Transport Management, Elsevier, vol. 89(C).
    24. Albers, Sascha & Rundshagen, Volker, 2020. "European airlines′ strategic responses to the COVID-19 pandemic (January-May, 2020)," Journal of Air Transport Management, Elsevier, vol. 87(C).
    25. Chaouk, Mohammed & Pagliari, Dr Romano & Moxon, Richard, 2020. "The impact of national macro-environment exogenous variables on airport efficiency," Journal of Air Transport Management, Elsevier, vol. 82(C).
    26. Xiang Li & Shuo Zhang & Wei Zhang, 2023. "Applied Computing and Artificial Intelligence," Mathematics, MDPI, vol. 11(10), pages 1-4, May.
    27. Xiaojia Guo & Yael Grushka-Cockayne & Bert De Reyck, 2020. "London Heathrow Airport Uses Real-Time Analytics for Improving Operations," Interfaces, INFORMS, vol. 50(5), pages 325-339, September.
    28. Michael Steiner & Andreas Eggert & Wolfgang Ulaga & Klaus Backhaus, 2016. "Do customized service packages impede value capture in industrial markets?," Journal of the Academy of Marketing Science, Springer, vol. 44(2), pages 151-165, March.
    29. Rostworowski, Antoine, 2012. "Developing the intelligent airport," Journal of Airport Management, Henry Stewart Publications, vol. 6(3), pages 202-206, June.
    30. Hon Keung Yau & Ho Yi Horace Tang, 2018. "Analyzing customer satisfaction in self-service technology adopted in airports," Journal of Marketing Analytics, Palgrave Macmillan, vol. 6(1), pages 6-18, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sun, Xiaoqian & Wandelt, Sebastian & Zheng, Changhong & Zhang, Anming, 2021. "COVID-19 pandemic and air transportation: Successfully navigating the paper hurricane," Journal of Air Transport Management, Elsevier, vol. 94(C).
    2. Sun, Xiaoqian & Wandelt, Sebastian & Zhang, Anming, 2021. "Technological and educational challenges towards pandemic-resilient aviation," Transport Policy, Elsevier, vol. 114(C), pages 104-115.
    3. Budd, Thomas & Suau-Sanchez, Pere & Halpern, Nigel & Mwesiumo, Deodat & Bråthen, Svein, 2021. "An assessment of air passenger confidence a year into the COVID-19 crisis: A segmentation analysis of passengers in Norway," Journal of Transport Geography, Elsevier, vol. 96(C).
    4. Mutascu, Mihai & Sokic, Alexandre, 2023. "Air transportation under COVID-19 pandemic restrictions: A wavelet analysis," Transport Policy, Elsevier, vol. 139(C), pages 155-181.
    5. Warnock-Smith, David & Graham, Anne & O'Connell, John F. & Efthymiou, Marina, 2021. "Impact of COVID-19 on air transport passenger markets: Examining evidence from the Chinese market," Journal of Air Transport Management, Elsevier, vol. 94(C).
    6. Kim, Myeonghyeon & Sohn, Jeongwoong, 2022. "Passenger, airline, and policy responses to the COVID-19 crisis: The case of South Korea," Journal of Air Transport Management, Elsevier, vol. 98(C).
    7. Sun, Xiaoqian & Wandelt, Sebastian & Zhang, Anming, 2022. "STARTUPS: Founding airlines during COVID-19 - A hopeless endeavor or an ample opportunity for a better aviation system?," Transport Policy, Elsevier, vol. 118(C), pages 10-19.
    8. Randrianarisoa, Laingo M. & Gillen, David, 2023. "Policy responses and travellers’ preferences in pandemics: Evidence from Europe," Transport Policy, Elsevier, vol. 141(C), pages 305-316.
    9. Su, Min & Hu, Baoyang & Luan, Weixin & Tian, Chuang, 2022. "Effects of COVID-19 on China's civil aviation passenger transport market," Research in Transportation Economics, Elsevier, vol. 96(C).
    10. Sun, Xiaoqian & Wandelt, Sebastian & Zhang, Anming, 2022. "Ghostbusters: Hunting abnormal flights in Europe during COVID-19," Transport Policy, Elsevier, vol. 127(C), pages 203-217.
    11. Yiu, Cho Yin & Ng, Kam K.H. & Yu, Simon C.M. & Yu, Chun Wah, 2022. "Sustaining aviation workforce after the pandemic: Evidence from Hong Kong aviation students toward skills, specialised training, and career prospects through a mixed-method approach," Transport Policy, Elsevier, vol. 128(C), pages 179-192.
    12. Michelmann, Johannes & Schmalz, Ulrike & Becker, Axel & Stroh, Florian & Behnke, Sebastian & Hornung, Mirko, 2023. "Influence of COVID-19 on air travel - A scenario study toward future trusted aviation," Journal of Air Transport Management, Elsevier, vol. 106(C).
    13. Xue, Dabin & Liu, Zhizhao & Wang, Bing & Yang, Jian, 2021. "Impacts of COVID-19 on aircraft usage and fuel consumption: A case study on four Chinese international airports," Journal of Air Transport Management, Elsevier, vol. 95(C).
    14. Xiao Xuan & Khalid Khan & Chi-Wei Su & Adnan Khurshid, 2021. "Will COVID-19 Threaten the Survival of the Airline Industry?," Sustainability, MDPI, vol. 13(21), pages 1-18, October.
    15. Min Su & Baoyang Hu & Yipeng Jiang & Zhenchao Zhang & Zeyang Li, 2022. "Relationship between the Chinese Main Air Transport Network and COVID-19 Pandemic Transmission," Mathematics, MDPI, vol. 10(13), pages 1-17, July.
    16. Liu, Anyu & Kim, Yoo Ri & O'Connell, John Frankie, 2021. "COVID-19 and the aviation industry: The interrelationship between the spread of the COVID-19 pandemic and the frequency of flights on the EU market," Annals of Tourism Research, Elsevier, vol. 91(C).
    17. Gualini, Andrea & Zou, Li & Dresner, Martin, 2023. "Airline strategies during the pandemic: What worked?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    18. Mueller, Falko, 2022. "Examining COVID-19-triggered changes in spatial connectivity patterns in the European air transport network up to June 2021," Research in Transportation Economics, Elsevier, vol. 94(C).
    19. Kurnaz Salim & Rodrigues Antonio, 2022. "The Perspectives of the Air Transport Market in Turkey During Covid-19 Pandemic," Management Theory and Studies for Rural Business and Infrastructure Development, Sciendo, vol. 44(2), pages 235-243, June.
    20. Liao, Maozhu & Wu, Chuntao & Yan, Hongmeng, 2022. "Recovery of Chinese low-cost carriers after the outbreak of COVID-19 pandemic," Journal of Air Transport Management, Elsevier, vol. 105(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jaitra:v:111:y:2023:i:c:s0969699723000807. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/journal-of-air-transport-management/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.