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Evaluation of the airport ferry vehicle scheduling based on network maximum flow model

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  • Zhao, Peixin
  • Han, Xue
  • Wan, Di

Abstract

With the rapid development of the civil aviation industry, airport ground support vehicles are increasingly becoming a scarce resource. Among them, the ferry vehicle resource is one of the important factors that restrict the flight service quality of airports. In this paper, the optimal scheduling of ferry vehicles in flight ground support service is studied, and an integer programming model is constructed based on the objective of minimizing the number of ferry vehicles required during peak hours or a certain period of time. In order to solve the model, we construct a graph by having the service demand of the flight as the node, and the connecting edges represent that the two service demands can be served by the same ferry vehicle. By introducing virtual flights, the ferry vehicle-sharing network is constructed innovatively, transforming the model into a network maximum flow problem. The efficiency and accuracy of the method are validated by the flight data from Beijing Capital International Airport. This method provides a decision-making reference for the ground service department of airports to evaluate the ferry vehicle scheduling.

Suggested Citation

  • Zhao, Peixin & Han, Xue & Wan, Di, 2021. "Evaluation of the airport ferry vehicle scheduling based on network maximum flow model," Omega, Elsevier, vol. 99(C).
    • Handle: RePEc:eee:jomega:v:99:y:2021:i:c:s0305048318314798
    DOI: 10.1016/j.omega.2019.102178
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    References listed on IDEAS

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    Cited by:

    1. Trust Tawanda & Philimon Nyamugure & Santosh Kumar & Elias Munapo, 2023. "An intelligent node labelling maximum flow algorithm," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(4), pages 1276-1284, August.
    2. Yagmur S. Gök & Silvia Padrón & Maurizio Tomasella & Daniel Guimarans & Cemalettin Ozturk, 2023. "Constraint-based robust planning and scheduling of airport apron operations through simheuristics," Annals of Operations Research, Springer, vol. 320(2), pages 795-830, January.
    3. Han, Xue & Zhao, Peixin & Kong, Dexin, 2023. "Two-stage optimization of airport ferry service delay considering flight uncertainty," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1103-1116.
    4. Xu, Guoning & Lin, Yupeng & Wu, Zhiying & Chen, Qingxin & Mao, Ning, 2023. "Research on the scheduling method of ground resource under uncertain arrival time," Operations Research Perspectives, Elsevier, vol. 11(C).

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