Flight trajectory prediction of point-conditioned time and altitudes

Yingchao Xiao, Yuanyuan Ma, Hui Ding
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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.
点条件时间和高度的飞行轨迹预测
在空中交通流管理系统中,飞行轨迹预测主要关注报告点的通过时间和飞行高度。为此,本文提出了一种同时利用飞行计划和雷达轨迹数据的基于KNN的方法。该方法利用雷达轨迹数据搜索查询轨迹的邻域,再利用相应的飞行计划数据预测报告点条件下的时间和高度。在实际飞行数据上的实验验证了该方法能够准确地预测飞行点条件时间和飞行高度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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