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가중선형회귀를 통한 순항항공기의 궤적예측

En-route Trajectory Prediction via Weighted Linear Regression

  • 김소윤 (한국항공대학교 대학원 항공교통물류학과) ;
  • 이금진 (한국항공대학교 항공교통물류학과)
  • 발행 : 2016.12.30

초록

The departure flow management is the planning tool to optimize the schedule of the departure aircraft and allows them to join smoothly into the overhead traffic flow. To that end, the arrival time prediction to the merge point for the cruising aircraft is necessary to determined. This paper proposes a trajectory prediction model for the cruising aircraft based on the machine learning approach. The proposed method includes the trajectory vectored from the procedural route and is applied to the historical data to evaluate the prediction performances.

키워드

과제정보

연구 과제번호 : 항공기 출발 및 도착 통합관리기술연구

연구 과제 주관 기관 : 국토교통과학기술진흥원

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피인용 문헌

  1. 생성 모형을 사용한 순항 항공기 향후 속도 예측 및 추론 vol.27, pp.4, 2016, https://doi.org/10.12985/ksaa.2019.27.4.027