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

The Korean Society for Aviation and Aeronautics (한국항공운항학회)
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En-route Ground Speed Prediction and Posterior Inference Using Generative Model

생성 모형을 사용한 순항 항공기 향후 속도 예측 및 추론

  • 백현진 (한국항공대학교 항공교통물류학과) ;
  • 이금진 (한국항공대학교 항공교통물류학과)
  • Received : 2019.09.25
  • Accepted : 2019.12.24
  • Published : 2019.12.31
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Abstract

An accurate trajectory prediction is a key to the safe and efficient operations of aircraft. One way to improve trajectory prediction accuracy is to develop a model for aircraft ground speed prediction. This paper proposes a generative model for posterior aircraft ground speed prediction. The proposed method fits the Gaussian Mixture Model(GMM) to historical data of aircraft speed, and then the model is used to generates probabilistic speed profile of the aircraft. The performances of the proposed method are demonstrated with real traffic data in Incheon Flight Information Region(FIR).

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References

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