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.


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    Titel :

    Flight trajectory prediction of point-conditioned time and altitudes


    Beteiligte:
    Xiao, Yingchao (Autor:in) / Ma, Yuanyuan (Autor:in) / Ding, Hui (Autor:in)

    Kongress:

    Sixth International Workshop on Pattern Recognition ; 2021 ; Chengdu,China


    Erschienen in:

    Proc. SPIE ; 11913 ; 119130B


    Erscheinungsdatum :

    06.08.2021





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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