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The Use of Artificial Intelligence in Air Traffic Control: A Theoretical Review   
Yazarlar (2)
Doç. Dr. Bülent YILDIZ Doç. Dr. Bülent YILDIZ
Kastamonu Üniversitesi, Türkiye
Çiğdem Çulha
Devamını Göster
Özet
Aviation is a growing industry critical to commercial and military operations worldwide. This growth brings with it more complex and intensive air traffic management requirements. Air traffic control is a critical service operating within airports and airspace to ensure aircraft's safe, efficient and orderly routing. However, as the traffic density in the airspace increases, human operators are more likely to make mistakes and existing air traffic management systems may be inadequate. At this point, applying artificial intelligence (AI) technologies in air traffic control offers a significant innovation to the sector. This paper examines how AI technologies are used in air traffic control. The opportunities offered by technologies such as machine learning, deep learning, unmanned aerial vehicles (UAVs) and blockchain in air traffic control are discussed, and the role of these technologies in reducing human errors, increasing efficiency and optimizing decision-making processes is discussed. In particular, the integration of UAVs into the airspace and the contributions of AI in managing this process were emphasized. In addition, the benefits of blockchain technology in terms of data security and traceability are evaluated.
Anahtar Kelimeler
Makale Türü Özgün Makale
Makale Alt Türü Diğer hakemli uluslarası dergilerde yayınlanan tam makale
Dergi Adı Journal of Anadolu Strategy
Dergi ISSN 2687-5721
Dergi Tarandığı Indeksler Index Copernicus
Makale Dili İngilizce
Basım Tarihi 12-2024
Cilt No 6
Sayı 2
Sayfalar 175 / 193
Makale Linki https://dergipark.org.tr/tr/pub/anasamasd/issue/89199
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