Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China

Research Article

A Benefit Verification of Network Sharing among Multiple Flight Schools: Based on the Construction of a Centralized Scheduling Method for Cross-country Training Plans

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  • @INPROCEEDINGS{10.4108/eai.2-12-2022.2327975,
        author={Yu  Wang and Chongbin  Liu and Huimin  Sun and Daben  Yu},
        title={A Benefit Verification of Network Sharing among Multiple Flight Schools: Based on the Construction of a Centralized Scheduling Method for Cross-country Training Plans},
        proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China},
        publisher={EAI},
        proceedings_a={ICICA},
        year={2023},
        month={3},
        keywords={general aviation; cross-country scheme; centralized scheduling; connection network; in-depth search algorithm},
        doi={10.4108/eai.2-12-2022.2327975}
    }
    
  • Yu Wang
    Chongbin Liu
    Huimin Sun
    Daben Yu
    Year: 2023
    A Benefit Verification of Network Sharing among Multiple Flight Schools: Based on the Construction of a Centralized Scheduling Method for Cross-country Training Plans
    ICICA
    EAI
    DOI: 10.4108/eai.2-12-2022.2327975
Yu Wang1, Chongbin Liu1,*, Huimin Sun1, Daben Yu1
  • 1: Civil Aviation Flight University of China
*Contact email: 2959245862@qq.com

Abstract

To enhance the cross-country training capability and reduce its training cost, a network sharing-oriented centralized scheduling method for multiple flight schools was proposed. The basic idea is as follows. First a connection network model for cross-country routes was constructed to search every training subject’s feasible flight itinerary set using in-depth algorithm with the consideration of all minimum implementation requirements of every cross-country training subject in CCAR 141 for each flight school. Second, a model with the objective of minimizing total operating cost (including all flight schools) was established, in which the number of every cross-country training subject flowing on the corresponding feasible flight itinerary for each flight school was regarded as decision variables. Several limitations, including that each flight subject training demand of every flight school must be met and the number of flights flowing on each cross-country route must not exceed the capacity of the corresponding route, were treated as constraints. An example of 3 flight schools with 72 totally flight subjects is used to verify the feasibility of the model. The result shows the total operating cost has 8% improvement as opposed to the use of every flight school scheduling their flight training schemes alone.