Surface taxiway optimization is one of the core tasks of A-SMGCS (Advanced Surface Movement Guidance and Control System). With the continuous development of the aviation transportation industry, reducing taxiing time and fuel consumption, and improving surface efficiency have become urgent tasks. This paper analyzes the key points and driving factors of taxiing path planning based on the current airport operation status and the future requirements of A-SMGCS for airport operations. It describes the research status and application scope of static and dynamic taxiway scheduling methods, summarizes the modeling and solving methods of aircraft taxiing paths considering different optimization goals, and explains the roles of these two methods in adapting to airport operation environments. Additionally, it discusses the technical difficulties and challenges faced in achieving greener and smarter airports


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    Titel :

    Research on the planning and optimization methods of aircraft taxiing path on the surface: current status, challenges, and future directions


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

    Kongress:

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


    Erschienen in:

    Proc. SPIE ; 13251 ; 1325148


    Erscheinungsdatum :

    28.08.2024





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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