The airline operation is a crucial part of the overall civil aviation transportation operation. Flight delay and passenger delay will increase the airline operation cost. Therefore, it is very important for airlines to make a robust airline schedule. In this paper, a stochastic programming model is established with flight departure time, cruise time, passenger connection service level and flight connection level as variables, and its objective function is to minimize idle time cost and fuel cost. We improve the robustness of the airline schedule by controlling passenger delay and flight delay in the model. In addition, we consider the uncertainty of non-cruise time and use the chance constraints to express the passenger connection service level and flight connection level. The one-day airline schedule of a U.S. carrier is used for numerical experiments. The numerical experiments show that the fuel cost has increased by 10%, but the idle time cost has decreased by 30%, thus reducing the overall cost. This paper sets up ten different scenarios for numerical experiments and compares the results with the numerical results obtained by other models. The numerical results show that the schedule generated by our model is more robust and it can absorb delay better.


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    Titel :

    Robust Airline Scheduling Considering Passenger Connection and Flight Connection


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Jia, Limin (Herausgeber:in) / Easa, Said (Herausgeber:in) / Qin, Yong (Herausgeber:in) / Wang, Jiajun (Autor:in) / Guo, Yuzhen (Autor:in) / Zhang, Shun (Autor:in)

    Kongress:

    International Conference on SmartRail, Traffic and Transportation Engineering ; 2023 ; Changsha, China July 28, 2023 - July 30, 2023



    Erscheinungsdatum :

    14.08.2024


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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