Journal of the Korean Society for Aviation and Aeronautics (한국항공운항학회지)

The Korean Society for Aviation and Aeronautics (한국항공운항학회)
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Probabilistic Model for Air Traffic Controller Sequencing Strategy

항공교통관제사의 항공기 합류순서결정에 대한 확률적 예측모형 개발

  • 김민지 (한국항공대학교 대학원 항공교통물류학과) ;
  • 홍성권 (한국항공대학교 대학원 항공교통물류학과) ;
  • 이금진 (한국항공대학교 항공교통물류학과)
  • Received : 2014.08.20
  • Accepted : 2014.09.21
  • Published : 2014.09.30
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Abstract

Arrival management is a tool which provides efficient flow of traffic and reduces ATC workload by determining aircraft's sequence and schedules while they are in cruise phase. As a decision support tool, arrival management should advise on air traffic control service based on the understanding of human factor of its user, air traffic controller. This paper proposed a prediction model for air traffic controller sequencing strategy by analyzing the historical trajectory data. Statistical analysis is used to find how air traffic controller decides the sequence of aircraft based on the speed difference and the airspace entering time difference of aircraft. Logistic regression was applied for the proposed model and its performance was demonstrated through the comparison of the real operational data.

Keywords

References

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Cited by

  1. 합류하는 두 항공기간 도착순서 결정에 대한 로지스틱회귀 예측 모형 vol.23, pp.4, 2014, https://doi.org/10.12985/ksaa.2015.23.4.042