By examining the flight phases and data features of traffic pattern, a flight phase division approach based on decision tree model is proposed in order to build a flight phase division method of traffic pattern based on SD card data. Prior to establishing a flight phase division model and conducting an example analysis, a quick introduction to the composition of the landing route topic phases is provided. The decision tree technique is then discussed. The method can effectively classify the phases of landing and takeoff routes, and provide technical support for the subsequent quality evaluation of flight training based on flight data.


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    Title :

    Decision tree model-based flight phase classification method


    Contributors:
    Hou, Xiaoxue (author) / Du, Dong (author) / Wang, Yue (author) / Song, Yan (author) / Qian, Jide (author)


    Publication date :

    2023-09-15


    Size :

    1086509 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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