Flight trajectory prediction of point-conditioned time and altitudes

Yingchao Xiao; Yuanyuan Ma; Hui Ding

doi:10.1117/12.2604850

6 August 2021 Flight trajectory prediction of point-conditioned time and altitudes

Yingchao Xiao, Yuanyuan Ma, Hui Ding

Proceedings Volume 11913, Sixth International Workshop on Pattern Recognition; 119130B (2021) https://doi.org/10.1117/12.2604850
Event: Sixth International Workshop on Pattern Recognition, 2021, Chengdu, China

Abstract

In air traffic flow management system, more attention of flight trajectory prediction is paid to the passing time and altitudes on some report points. For this purpose, a KNN based method using both flight plan and radar trajectory data is proposed in this paper. This method takes radar trajectory data to search for the neighbors of the query trajectory, and then takes the corresponding flight plan data to predict the report-point-conditioned time and altitudes. The experiments on actual flight data verify that the proposed method is able to predict flight point-conditioned time and altitudes accurately.

Citation Download Citation

Yingchao Xiao, Yuanyuan Ma, and Hui Ding "Flight trajectory prediction of point-conditioned time and altitudes", Proc. SPIE 11913, Sixth International Workshop on Pattern Recognition, 119130B (6 August 2021); https://doi.org/10.1117/12.2604850

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