To mitigate the potential for conflicts among aircraft navigating on the surface and enhance operational efficiency and safety at airports, this study explores various types of taxiing conflicts between aircraft and presents an A* algorithm model. This model considers both distance and direction, aiming to achieve conflict-free taxiway scheduling. By minimizing the overall taxiing duration of flights, this approach enhances taxiing efficiency. Simulation analyses are conducted with illustrative examples, indicating that the proposed optimization method for aircraft taxiing paths is feasible and could provide decision support for airport optimization and dispatch operations.


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    Titel :

    Research on aircraft surface taxiing path optimization based on A* algorithm


    Beteiligte:
    Wu, Jinsong (Herausgeber:in) / Ma'aram, Azanizawati (Herausgeber:in) / Zhang, Qigui (Autor:in) / Lian, Guan (Autor:in) / Wang, Haoran (Autor:in) / Li, Wenyong (Autor:in) / Wu, Yingzi (Autor:in)

    Kongress:

    Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024) ; 2024 ; Guilin, China


    Erschienen in:

    Proc. SPIE ; 13251


    Erscheinungsdatum :

    28.08.2024





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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