In order to improve the efficiency and safety of airport unmanned tower scheduling system, genetic algorithm is used to design and optimize the intelligent scheduling system, integrating advanced sensors and data processing technology to achieve efficient management of airport ground traffic. The results show that the system can effectively reduce the total scheduling time and conflict rate, improve the execution efficiency of scheduling strategies, and demonstrate excellent environmental adaptability and reliability.


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    Titel :

    Research on intelligent scheduling optimization of unmanned tower based on genetic algorithm


    Beteiligte:
    Chen, Hao (Herausgeber:in) / Shangguan, Wei (Herausgeber:in) / Li, Haocheng (Autor:in) / Shen, Di (Autor:in)

    Kongress:

    Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024) ; 2024 ; Xi'an, China


    Erschienen in:

    Proc. SPIE ; 13422


    Erscheinungsdatum :

    20.01.2025





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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