Electronics and Telecommunications Trends (전자통신동향분석)

Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Trends of Aircraft Safety Data and Analysis Methods

항공안전데이터 및 분석 동향

  • 김지연 (지능형휴먼트윈연구센터) ;
  • 박노삼 (지능형휴먼트윈연구센터)
  • Published : 2021.12.01
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Abstract

The air traffic industry, one of Korea's major industries, has recently experienced increased demand from overseas air passengers, launched a low-cost airline, and increased special freight transportation capacity. These initiatives have had a positive impact on air traffic (for example, profitability); however, air traffic management has become more complex, which has increased the incidence of aviation accidents and created safety hazards. There is an increasing need to collect and analyze aviation data that can proactively respond to aviation accidents. Concatenation of collected aviation data as big data and the development of artificial intelligence technology are gradually expanding aviation safety event analysis from conventional statistical analysis to machine learning-based analysis. This paper surveys the trends of flight safety event analysis to derive aviation safety risk factors by looking at the types and characteristics of aviation data that can be used to predict accidents related to safety in aviation operations.

Keywords

Acknowledgement

본 연구는 국토교통부의 '빅데이터 기반 항공안전관리 기술 개발 및 플랫폼 구축(21BDAS-B158275-02)' 연구의 지원에 의하여 이루어진 연구로서, 관계부처에 감사드립니다.

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