With the rapid increase of civil aviation transport volume, the problem of flight delays is still extremely serious. Effective prediction of flight delays will not only reduce the economic losses caused by airline delays, but also reduce the stay time and improve the traveling satisfaction of passengers. First of all, this paper describes the various time nodes of the complete flight operation process in detail. Next, it systematically expounds the reasons for the generation and propagation of flight delays, and puts forward two solutions, i.e. flight cancellation and aircraft swapping. Then, the main characteristics of flight delay prediction methods are summarized into three categories: traditional statistical analysis, modeling simulation and queuing theory, and machine learning methods. In addition, we analyze the principles and implementation processes of the representative method in detail, and compare their advantages and disadvantages. Finally, this paper proposes the future research direction of flight delay prediction methods.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Review of Flight Delay Prediction Methods


    Contributors:
    Wang, Teng (author) / Zheng, Yufan (author) / Xu, Haiwen (author)


    Publication date :

    2022-08-01


    Size :

    476641 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Flight Delay Prediction

    Martinez, Vincent | TIBKAT | 2012


    Flight delay prediction based on LightGBM

    Tao, Jiang / Man, Hua / Yanling, Li | IEEE | 2021


    REAL-TIME AIRCRAFT FLIGHT DELAY PREDICTION

    HERNANDEZ ANDRES MUNOZ / MORALES MANUEL POLAINA / JIMÉNEZ ALEJANDRO GÜEMES | European Patent Office | 2023

    Free access

    Flight delay prediction based on ARIMA

    Wang, Jingkai / Pan, Weijun | IEEE | 2022


    Real-time aircraft flight delay prediction

    MUNOZ HERNANDEZ ANDRES / POLENA MORALES MANUEL / ALEJANDRO GOMEZ JIMENEZ | European Patent Office | 2023

    Free access