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A Scoping Review of Artificial Intelligence Applications in Airports

File Language:
English


Details

  • Creators:
  • Corporate Creators:
    Ibn Haldun University. Department of Management
  • Subject/TRT Terms:
  • DOI:
  • Resource Type:
    Journal Article
  • Right Statement:
    Open Access; https://creativecommons.org/licenses/by/4.0/
  • Geographical Coverage:
    United States
  • Corporate Publisher:
    Computational Research Progress in Applied Science & Engineering (CRPASE)
  • Abstract:
    This paper aims to synthesize the literature on the application of artificial intelligence (AI) for airports. The selected methodology was based on the PRISMA Extension for Scoping Reviews (PRISMA-ScR), a recognized framework for systematic reviews. Authors searched the Scopus and Web of Science databases for articles that met the following criteria: (1) publication in peer-reviewed journals, (2) English language, and (3) relevance to airport operations, demonstrated by either (a) the use of airport datasets for showcasing AI applications or (b) the use of airports as case studies. Articles were assessed by two reviewers, and data were extracted on the articles’ keywords, publication year, and origin country. After screening and checking for eligibility, 121 unique articles were examined. Upon assessment, the included articles were categorized into seven main themes. Each category and its specific subtopics were individually discussed within this paper. Results indicate that the most extensively studied category belongs to airport administration and management. Security and air traffic control (ATC) were the second and third most studied categories, respectively. Notably, a significant portion of the articles focused on optimization techniques, scheduling strategies, and developing decision support systems (DSS) tailored to various airport departments. This paper not only highlights current research trends in the field of AI for airports but also identifies gaps in the existing literature. The paper proposes future research directions to enhance the effective implementation of AI technologies within airport environments.
  • Content Notes:
    This is an open access article under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/. Please cite this article as: M. Haji Amiri, A.O. Kusakci, A Scoping Review of Artificial Intelligence Applications in Airports, Computational Research Progress in Applied Science & Engineering, CRPASE: Transactions of Industrial Engineering 10(2024) 1–12, Article ID: 2900. https://doi.org/10.61186/crpase.10.2.2900
  • Format:
    PDF
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:8a4215361861ac7b7bb923256e23f0170fcef50e61ce879bb0c07c2265f24698da836eb79c2c3873dd15e41685777a4baa0d1d89c2406188ece421a00d34bb30
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  • File Type:
    Filetype[PDF - 582.97 KB ]
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