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Mathematical Biosciences and Engineering

2021, Volume 18, Issue 5: 6724-6738. doi: 10.3934/mbe.2021334
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Optimal model for the aircraft arrival and departure scheduling problem with fuzzy runway incursion time

  • 1.
    Key Laboratory of wide area surveillance and safety control technology of civil aviation flight, Civil Aviation University of China, Tianjin 300300, China
  • 2.
    School of Air traffic Management, Civil Aviation University of China, Tianjin 300300, China
  • 3.
    School of Transportation and Civil Engineering, Nantong University, Nantong 226000, China

  • Academic Editor: Cheng Siong Chin
  • Received: 02 June 2021 Accepted: 30 July 2021 Published: 10 August 2021

  • This paper presents an optimization model for assigning a set of arrival and departure flights to multiple runways and determining their actual times with consideration of incursions. Due to the lack of data, fuzzy incursion time is used to describe the uncertainty with the help of artificial experience. Moreover, the multiple-goal priority considerations of air traffic controllers are also fully considered in this model. The two objectives are to simultaneously minimize delays in arrival and departure flights. Since this problem is NP-hard, a novel polynomial algorithm based on queuing theory is also proposed to obtain acceptable solutions efficiently. Finally, a real-world example is provided to analyze the effect of different times and places of incursion events on the scheduling scheme, which can verify the correctness of the model. Results show that higher runway incursion times lead to longer queue lengths for take-off and landing flights, resulting in more flight delays.

    Citation: Bo Sun, Ming Wei, Binbin Jing. Optimal model for the aircraft arrival and departure scheduling problem with fuzzy runway incursion time[J]. Mathematical Biosciences and Engineering, 2021, 18(5): 6724-6738. doi: 10.3934/mbe.2021334

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  • This paper presents an optimization model for assigning a set of arrival and departure flights to multiple runways and determining their actual times with consideration of incursions. Due to the lack of data, fuzzy incursion time is used to describe the uncertainty with the help of artificial experience. Moreover, the multiple-goal priority considerations of air traffic controllers are also fully considered in this model. The two objectives are to simultaneously minimize delays in arrival and departure flights. Since this problem is NP-hard, a novel polynomial algorithm based on queuing theory is also proposed to obtain acceptable solutions efficiently. Finally, a real-world example is provided to analyze the effect of different times and places of incursion events on the scheduling scheme, which can verify the correctness of the model. Results show that higher runway incursion times lead to longer queue lengths for take-off and landing flights, resulting in more flight delays.




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