In order to meet the needs of collaborative decision making (CDM), considering the demands of air traffic control units, airlines, airports and passengers, the many-objective optimization scheduling problem of arrival flights is studied systematically. Through in-depth analysis of the operation characteristics of arrival flights, multiple optimization objectives of arrival flight scheduling are constructed according to the demands of all parties. Considering the constraints of air traffic control separation, landing time window and constrained position shifting (CPS), a many-objective optimization scheduling model of arrival flights is established; The reference vector guided evolutionary algorithm (RVEA) is used to find the Pareto optimal solution. The simulation results show that compared with first come first served (FCFS) method, the delay fairness is improved by 56.7%, the total runway occupancy time is reduced by 15% and the weighted total delay is reduced by 25.1%.


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    Titel :

    Many-objective optimization scheduling method of arrival flights


    Beteiligte:
    Hao, Jiang (Autor:in) / Liu, Jixin (Autor:in) / Lan, Sijie (Autor:in) / Wang, Zhiwei (Autor:in)

    Kongress:

    Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021) ; 2021 ; Chongqing,China


    Erschienen in:

    Proc. SPIE ; 12081 ; 120812I


    Erscheinungsdatum :

    07.02.2022





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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