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En-route Trajectory Prediction via Weighted Linear Regression

가중선형회귀를 통한 순항항공기의 궤적예측

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

Abstract

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.

Keywords

Acknowledgement

Grant : 항공기 출발 및 도착 통합관리기술연구

Supported by : 국토교통과학기술진흥원

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