The invention belongs to the field of aviation flow state prediction, and relates to an aviation flow prediction method based on a space-time diagram convolutional neural network and height hierarchical weighting. The method comprises the following steps: constructing a space-time attention module based on a space attention mechanism and a time attention mechanism, and applying different weights to nodes near waypoints; constructing a space-time convolution module based on the graph convolution in the space dimension and the standard convolution in the time dimension; constructing a space-timegraph convolutional network by utilizing a space-time attention module and a space-time convolution module; learning the constructed space-time diagram convolutional network by using aviation flow historical data to obtain different influence parameters of the three parts, the aviation flow historical data comprising three characteristic values: speed, flow and time occupancy; and inputting the aviation flow historical data of each node of different height layers into the space-time diagram convolutional network according to different flight layers to obtain the aviation flow prediction of each height layer, and then predicting the overall aviation flow through a weighting algorithm.

    本发明属于航空交通状态预测领域,涉及一种基于时空图卷积神经网络与高度分层加权的航空流量预测方法,包括:基于空间注意力机制和时间注意力机制,构建时空注意力模块,为航路点附近的节点施加不同权重;基于空间维度上的图卷积和时间维度上的标准卷积,构建时空卷积模块;利用时空注意力模块和时空卷积模块,构建时空图卷积网络;利用航空流量历史数据对构建的时空图卷积网络进行学习,获得三个部分的不同影响参数,所述航空流量历史数据包括三个特征值:速度、流量、时间占有率;按照不同飞行层向时空图卷积网络输入不同高度层的各个节点的航空流量历史数据,得到每个高度层的航路流量预测,之后通过加权算法对总体航空流量进行预测。


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    Titel :

    Aviation flow prediction method


    Weitere Titelangaben:

    一种航空流量预测方法


    Beteiligte:
    DU WENBO (Autor:in) / LIANG BUYU (Autor:in) / CAO XIANBIN (Autor:in) / ZHU XI (Autor:in)

    Erscheinungsdatum :

    2020-06-16


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen




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