In order to ensure the orderly operation of the terminal, the rapid evacuation of arriving passengers is crucial. Based on the dynamic prediction of arrival passenger evacuation time, we analyze the characteristics and influencing factors of passenger arrival in the connecting area, so as to construct a prediction model of passenger arrival distribution in each connecting area and conduct a prediction study of passenger arrival distribution in the connecting area. The simulation experiments show that the overall prediction effect of the model for the prediction period is good, the prediction accuracy is satisfactory, and the prediction effect design meets the demand.


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    Titel :

    Passenger arrival distribution prediction model based on flight superposition


    Beteiligte:
    Easa, Said (Herausgeber:in) / Wei, Wei (Herausgeber:in) / Qian, Qin (Autor:in) / Ding, Xin-Wei (Autor:in) / Miao, Wen-Liang (Autor:in) / Geng, Li (Autor:in)

    Kongress:

    Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023) ; 2023 ; Hangzhou, China


    Erschienen in:

    Proc. SPIE ; 12790 ; 127906E


    Erscheinungsdatum :

    07.09.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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