This paper studies the problem of flight scheduling optimization strategy. According to the published airport capacity, flight connectivity, and so on, the flight scheduling model is established. With the goal of minimizing the adjustment amount and maximizing the number of flights, the optimal scheduling strategy of major airlines is obtained. First, analyze the existing airline scheduling strategy, count the actual capacity of each airport at each time, compare with the saturated capacity of each airport, and find that the actual capacity of multiple airports at multiple times exceeds the saturated capacity. Then, on this basis, the connectivity constraints of the front, back flights are added, and the adjustment time constraints are changed to soft constraints. To maximize the number of scheduled flights, minimize the adjustment time, and minimize the number of flights beyond the adjustment range, this paper establishes a flight adjustment strategy model under the condition of connection. In this paper, the flight optimization problem is solved based on particle swarm optimization and diffusion phenomenon. Combining the degree of flight congestion with the diffusion energy and the degree of airport congestion with the diffusion probability, the dynamic planning of flight scheduling under the constraint of airport capacity is realized.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Flight Scheduling Optimization Model and Algorithm


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Jia, Limin (editor) / Ou, Dongxiu (editor) / Liu, Hui (editor) / Zong, Fang (editor) / Wang, Pangwei (editor) / Zhang, Mingfang (editor) / Yang, Le (author) / Dai, Meize (author) / Zhang, Huimin (author) / Yang, Dikai (author)

    Conference:

    International Conference on Artificial Intelligence and Autonomous Transportation ; 2024 ; Beijing, China December 06, 2024 - December 08, 2024



    Publication date :

    2025-03-31


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    An Optimization Scheduling Algorithm for Flight Turnaround Ground Service

    Yao, Y. / Zhu, J.-f. / Bai, M.-g. | British Library Online Contents | 2007


    Data-based flight optimization model for scheduling: noise management approach

    Aivara Šitkauskaitė / Virginija Leonavičiūtė | DOAJ | 2025

    Free access


    The Application of Ant Colony Optimization Algorithm in the Flight Landing Scheduling Problem

    Feng, Xiao Rong ;Feng, Xing Jie ;Liu, Dong | Trans Tech Publications | 2013


    Multi-Objective Optimization for Flight Instructor Scheduling

    Wen, Jun ;Sun, Shu Xia ;Duan, Hai Feng | Trans Tech Publications | 2014