Advanced Technologies for Supporting Operational Decision-Making in Civil Aviation

Authors

  • Valentin G. Lebedev V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
  • Elena L. Kulida V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia

DOI:

https://doi.org/10.25728/assa.2021.21.3.1071

Keywords:

decision support system, air traffic management, artificial intelligence, deep neural networks, genetic algorithms

Abstract

In civil aviation, many tasks require the use of modern technologies, in particular artificial intelligence technologies. The features of the crew and dispatcher decision-support tasks that can be solved based on deep neural networks are considered. The features of the intelligent crew interface for improving interaction with the operational decision support system are considered. Optimization of air traffic management by using genetic algorithms is illustrated by the example of two tasks. A special feature of the genetic algorithm for solving the problem of optimizing the sequence and landing times of arriving aircraft is a non-standard crossing operator. A special feature of the genetic algorithm for solving the problem of constructing conflict-free trajectories of a given length at low altitude in conditions of complex terrain is the method of forming the objective function. In conclusion, there is a list of problems that need to be solved for the wider use of artificial intelligence in civil aviation.

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Published

2021-10-01

How to Cite

Lebedev, V. G., & Kulida, E. L. (2021). Advanced Technologies for Supporting Operational Decision-Making in Civil Aviation. Advances in Systems Science and Applications, 21(3), 12–21. https://doi.org/10.25728/assa.2021.21.3.1071