Journal of Advanced Navigation Technology (한국항행학회논문지)

The Korean Navigation Institute (한국항행학회)
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Applicable Focal Points of HFACS to Investigate Domestic Civil Unmanned Aerial Vehicle Accidents

국내 민간 무인항공기 사고조사 HFACS 적용중점

  • Lee, Keon-Hee (Department of Aviation Management, Korea Aerospace University) ;
  • Kim, Hyeon-Deok (Department of Flight Operation, Korea Aerospace University)
  • 이건희 (한국항공대학교 대학원 항공운항관리학과) ;
  • 김현덕 (한국항공대학교 항공운항학과)
  • Received : 2021.06.04
  • Accepted : 2021.06.29
  • Published : 2021.06.30
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Abstract

Domestic and foreign studies point to human factors as the main cause of unmanned aerial vehicle accidents, and HFACS is introduced as a technique to effectively analyze these human factors. Until now, domestic and foreign cases of analyzing the human factors of unmanned aerial vehicle accidents using HFACS were mainly targeted by military unmanned aerial vehicles, which can be used as an objective cause identification and similar accident prevention tool. In particular, identifying the focus of HFACS application considering the performance and operation conditions of domestic civilian unmanned aerial vehicles is expected to greatly help identify the cause and prevent recurrence in the event of an accident. Based on HFACS version 7.0, this study analyzed the accident investigation report data conducted by Korea Aviation and Railway Accident Investigation Board to identify the focus of HFACS application that can be used for domestic civilian unmanned aircraft accident investigations.

국내외 연구들은 무인항공기 사고의 주원인으로 인적요인을 지목하고 있고, 이러한 인적요인을 효과적으로 분석하는 기법으로 HFACS를 소개하고 있다. 현재까지는 HFACS를 이용해 무인항공기 사고의 인적요인을 분석했던 국내외 사례는 주로 군용 무인항공기가 대상이었는데, 항공사고를 유발하는 인적요인 정보를 분석하여 객관적 원인 규명과 유사 사고 예방 도구로 사용할 수 있는 HFACS가 국내 민간 무인항공기 분야에서도 활용이 필요한 시점이다. 특히, 국내 민간 무인항공기의 성능과 운용 여건을 고려한 HFACS 적용중점을 식별한다면 사고 발생 시 원인 규명과 재발 방지에 큰 도움이 될 것으로 예상된다. 본 연구는 HFACS version 7.0을 근간으로 우리나라 항공철도사고조사위원회가 수행했던 사고조사 결과보고서 자료를 분석하여 국내 민간 무인항공기 사고조사에 활용할 수 있는 HFACS 적용중점을 식별하였다.

Keywords

References

  1. A. P. Tvaryanas, W. T. Thompson, and Stefan H. Constable, "Human Factors in Remotely Piloted Aircraft Operations: HFACS Analysis of 221 Mishaps Over 10 Years," Journal of Aviation, Space, and Environmental Medicine, Vol. 77, No. 7, pp. 724-732, July 2006.
  2. B. E. Koo, "Human error vulnerability as a pilot in a military unmanned aerial vehicle system," Korean Academy of Aerospace Human Factors, Korea Airports Corporation Aviation Security Training Center, pp. 1-26, Dec 2018.
  3. D. A. Wiegmann, and S. A. Shappell, A human error analysis of commercial aviation accidents using the human factors analysis and classification system (HFACS), U.S. Department of Transportation Federal Aviation Administration, Office of Aviation Medicine Washington, D.C. 20591, No. DOT/FAA/AM-01/3, pp.1-20, Feb 2001.
  4. V. Yesilbas, The relationship among HFACS levels and analysis of human factors in unmanned and manned air vehicles, Ph.D. thesis, Old Dominion University, Norfolk, VA, May 2014.
  5. B. R. Kim et al., Unmanned aerial vehicle, Korea Institute of Science & Technology Evaluation and Planning, No. 2018-19, pp.1-29, 2018.
  6. M. H. Shin et al., Research on the status of domestic and abroad unmanned aerial vehicle industry and development plan based on demand, Korea Aerospace Industries Association, pp.1-117, 2016.
  7. KOTSA, Status of qualification for the pilot of the ultralight aerial vehicle, Korea Transportation Safety Agency, 2020.
  8. KIAST, Status of certification for the ultralight aerial vehicle, Korea Institute of Aviation Safety Technology, 2020.
  9. S. A. Shappell, and D. A. Wiegmann, The human factors analysis and classification system-HFACS, U.S. Department of Transportation Federal Aviation Administration, Office of Aviation Medicine Washington, D.C. 20591, No. DOT/FAA/AM-00/7, Feb 2000.
  10. U.S. Air Force Safety Center, DoD Human factors analysis and classification system(HFACS) version 7.0, pp.1-23, June 2019.
  11. M. Oncu, and S. Yildiz, An analysis of human causal factors in unmanned aerial vehicle (UAV) accidents, Naval Postgraduate School, Monterey, California, December 2014.
  12. W. T. Thompson, and A. P. Tvaryanas, U.S. Military Unmanned aerial vehicle mishaps: Assessment of the role of human factors using human factors analysis and classification system (HFACS), United States Air Force 311th Human Systems Wing, pp.1-37, 2005.
  13. Aviation and Railway Accident Investigation Board. Aviation accident investigation report. [Ministry of Land, Infrastructure and Transport] Available: http://araib.molit.go.kr/USR/airboard0201/m_34497/lst.jsp
  14. ARAIB/UAR0903, Ultralight aerial vehicle accident investigation report, Aviation and Railway Accident Investigation Board, December 2010.
  15. ARAIB/UAR1504, Ultralight aerial vehicle accident investigation report, Aviation and Railway Accident Investigation Board, July 2016.
  16. ARAIB/UAR01703, Ultralight aerial vehicle accident investigation report, Aviation and Railway Accident Investigation Board, September 2017.
  17. ARAIB/UAR1902, Ultralight aerial vehicle accident investigation report, Aviation and Railway Accident Investigation Board, August 2019.