Artificial Intelligence in Aviation Safety: Systematic Review and Biometric Analysis

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dc.authoridMoslem, Sarbast/0000-0003-4587-7482
dc.authoridDEMIR, Gulay/0000-0002-3916-7639
dc.contributor.authorDemir, Gulay
dc.contributor.authorMoslem, Sarbast
dc.contributor.authorDuleba, Szabolcs
dc.date.accessioned2025-05-04T16:47:17Z
dc.date.available2025-05-04T16:47:17Z
dc.date.issued2024
dc.departmentSivas Cumhuriyet Üniversitesi
dc.description.abstractThis study aims to offer aviation safety researchers, practitioners, and decision-makers a comprehensive exploration of integrating advanced technologies, such as artificial intelligence and machine learning, to inform and fortify future safety strategies. Focusing on systematic and bibliometric perspectives, the paper reviewed 224 articles in the Scopus database from 2004 to 2024 (January). Key findings highlight China's notable contributions to aviation safety research, underscoring its leadership in international collaboration. The techniques employed encompass machine learning, time series models, deep learning, AI, neurophysiological modeling, and optimization algorithms. The analysis discerns prominent research trends, including aviation accident analysis, pilot behavior, aviation safety measures, and endeavors to enhance safety standards. The aviation industry's steadfast commitment to safety, efficiency, and technological innovation is evident. By uncovering the main structures, foci, and trends in aviation safety research, this study equips researchers and practitioners with crucial insights into ongoing endeavors and potential future developments, fostering a more profound understanding of aviation safety.
dc.identifier.doi10.1007/s44196-024-00671-w
dc.identifier.issn1875-6891
dc.identifier.issn1875-6883
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85209818498
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1007/s44196-024-00671-w
dc.identifier.urihttps://hdl.handle.net/20.500.12418/35562
dc.identifier.volume17
dc.identifier.wosWOS:001352939400002
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringernature
dc.relation.ispartofInternational Journal of Computational Intelligence Systems
dc.relation.publicationcategoryDiğer
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250504
dc.subjectAviation safety
dc.subjectArtificial intelligence
dc.subjectBiblioshiny
dc.subjectVOSviewer
dc.subjectSystematic review
dc.subjectBibliometric analysis
dc.titleArtificial Intelligence in Aviation Safety: Systematic Review and Biometric Analysis
dc.typeReview

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