The increase in demand registered in the air transport sector is directly reflected in the increase in the aircraft flow density in all essential regions for its operations, especially in terminal maneuvering areas (TMAs). The main objective of this paper was to analyze, in a concrete and critical way, the complexity in optimizing the TMAs capacity management via the predictive estimation of the traffic flow to a given TMA, preventing the occurrence of congestion. Using Markov chain theory, it was possible to detect the operating pattern of the air traffic flow in the Lisbon TMA related to which the proposed concepts were computationally tested using actual traffic flow data. The genericity of the methodology makes it possible to be used for other TMAs.


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    Titel :

    Markov Chain Model Development for Forecasting the Lisbon TMA Capacity


    Weitere Titelangaben:

    Sustainable aviat.


    Beteiligte:
    Karakoc, T. Hikmet (Herausgeber:in) / Kostić, Ivan A. (Herausgeber:in) / Grbović, Aleksandar (Herausgeber:in) / Svorcan, Jelena (Herausgeber:in) / Dalkiran, Alper (Herausgeber:in) / Ercan, Ali Haydar (Herausgeber:in) / Peković, Ognjen M. (Herausgeber:in) / Simão, Cátia A. (Autor:in) / Bousson, Kouamana (Autor:in)

    Kongress:

    International Symposium on Aviation Technology, MRO, and Operations ; 2022 ; Belgrade, Serbia September 14, 2022 - September 16, 2022



    Erscheinungsdatum :

    2023-11-23


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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