终端区航空器异常轨迹识别研究

Research on identification of aircraft abnormal trajectory in terminal area

为保障终端区航空器飞行安全,减轻管制员工作负荷,首先,综合考虑航空器轨迹位置、速度和高度等因素,提出终端区航空器异常轨迹的定义和识别流程;其次,建立基于速度修正系数的轨迹相似性模型,采用谱聚类方法对终端区航空器轨迹自动分类;最后,计算每类轨迹数据分布的特征,选取2条中心轨迹来表征每类轨迹的位置特征,提取轨迹间相似性距离和飞行距离作为异常特征因子,识别航空器异常轨迹。结果表明:用基于速度修正系数的轨迹相似性模型,能够实现航空器轨迹自动分类,分类结果较为合理准确;改进异常特征因子,设置2条中心轨迹时,相较于设置1条中心轨迹,检测效果更好。

To ensure the flight safety in the terminal area and reduce the workload of the controller,factors relating to aircraft trajectory were considered such as the position,speed and altitude,a definition and identification process of the aircraft abnormal trajectory in the terminal area were proposed,a speed correction coefficient based model was built for trajectory similarity,by which trajectories can be automatically classified by the spectral clustering method,the characteristics of each type of trajectory data were calculated,two central trajectories were selected to characterize the position features of each type of trajectory,and the similarity distance and flight distance between the trajectories were extracted as anomaly feature factors for identifying aircraft anomaly trajectories. The results show that the trajectory similarity model based on velocity correction coefficient can be used to realize the automatic classification of aircraft trajectory,and the classification result is more reasonable and accurate,and that both improving the abnormal feature factor and setting two central trajectories are helpful in improving the abnormal detection effect.