Electronics and Electrical Engineering and Control

Flexible control of aircraft departure pushback time based on probabilistic taxiing time

  • Ying ZHANG ,
  • Xiaoying LI ,
  • Jianan YIN ,
  • Xiaotong ZHOU
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  • 1.College of General Aviation and Flight,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China
    2.National Key Laboratory of Air Traffic Flow Management,Nanjing 210016,China
    3.College of Civil Aviation,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China
E-mail: j.yin@nuaa.edu.cn

Received date: 2022-05-16

  Revised date: 2022-05-31

  Accepted date: 2022-08-01

  Online published: 2022-08-17

Supported by

National Key R&D Program of China(2021YFB1600500);National Natural Science Foundation of China(52002178);Natural Science Foundation of Jiangsu Province(BK20190416)

Abstract

The flight departure process is dynamic, changeful and highly random. The uncertainty of the taxi-out time makes it difficult to scientifically allocate the pushback time. In this paper, the problem of flexible control of aircraft pushback time is studied based on probabilistic distribution of taxiing time. Firstly, a machine learning-based probabilistic distribution of taxiing time prediction model, a hyper parameter tuning strategy and a probabilistic prediction performance evaluation indicator system are established using random forests regression together with the kernel density estimation. Then, the concept of “buffer” is introduced, and a flexible control method of “pushback time” for departure flight is proposed. The effect of buffer size on the probability of reaching the runway head on time is clarified. Finally, by applying the chance-constrained theory of the stochastic programming, a flexible control method for the “pushback slot” of the departure flight is proposed, and the definition rule for the feasible pushback time range that satisfies change constraints is designed. Experimental results show that the probabilistic taxiing time of the departure flight can be predicted scientifically with the proposed prediction method, and flexible transformation from traditional rigid control to multi-view flexible control of the pushback time is then realized. Our study can provide support for enhancing the predictability and flexibility of airport departure control.

Cite this article

Ying ZHANG , Xiaoying LI , Jianan YIN , Xiaotong ZHOU . Flexible control of aircraft departure pushback time based on probabilistic taxiing time[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023 , 44(10) : 327452 -327452 . DOI: 10.7527/S1000-6893.2022.27452

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