The main purpose of this paper is to improve the accuracy of the prediction of aircraft delay time. Using K-Medoids clustering algorithm to cluster the time intervals between arrival and departure time based on historical data, and then use the principal component analysis to reduce the dimensionality of the data. Finally, The Bayesian Classifier is used for classification processing to predict the category of the time interval to which the data belongs. The improved Bayesian Classifier has greatly improved accuracy and reduced errors, then we can use this data to predict the actual departure time of the aircraft. It is convenient for us to predict the delay time of the aircraft, and the prediction result is more accurate.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Aircraft arrival and departure time interval prediction based on improved Bayesian classifier


    Contributors:
    Ladaci, Samir (editor) / Kaswan, Suresh (editor) / Xie, Juzan (author) / Yin, Bo (author) / Lu, Zhaoyang (author)

    Conference:

    International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023) ; 2023 ; Xiamen, China


    Published in:

    Proc. SPIE ; 12759


    Publication date :

    2023-08-10





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Train arrival tracking interval time compression method based on arrival and departure line application

    LU GONGYUAN / WANG CHAOYU / ZHANG SHOUSHUAI et al. | European Patent Office | 2020

    Free access

    Robust, integrated arrival-departure-surface scheduling based on Bayesian networks

    Saraf, Aditya / Ramamoorthy, Kris / Stroiney, Steven et al. | IEEE | 2014

    Free access


    Supporting system for controlling departure and arrival Aircraft

    LEE HYOUN TAEK / JUNG HYUNG HOON / JUNG HONG KI et al. | European Patent Office | 2018

    Free access

    Robust, integrated arrival-departure-surface scheduling based on Bayesian networks

    Saraf, Aditya / Ramamoorthy, Kris / Stroiney, Steven et al. | IEEE | 2014