INNOVATSION TEXNOLOGIYALAR
Maxsus son, 2023-yil, dekabr
ISSN 2181-4732
33
model and simulate their behavior and evolution under various conditions and scenarios. We have
also shown that CNT can provide insights into the functionality and efficiency of the ATM system,
as well as guidance for designing and implementing contingency plans and recovery strategies, and
recommendations for planning and managing the ATM system according to different scenarios and
criteria.
CNT is a powerful approach to study and improve complex systems such as ATM. However, it
also has some limitations and challenges that need to be addressed in future research. For instance,
CNT requires accurate and reliable data sources to construct realistic and representative networks;
CNT needs to consider dynamic and stochastic aspects of networks such as temporal variations or
uncertainties; CNT has to deal with multiple scales and levels of networks such as local or global
perspectives; CNT has to cope with multiple objectives and constraints
of networks such as
conflicting or competing performance areas; CNT has to account for human factors and social aspects
of networks such as behaviors or preferences [11, 12].
We hope that this article has provided an overview of some of the applications of CNT to model
the process of regulating air traffic with an increase in the intensity of flights, as well as some of its
benefits and challenges. We believe that CNT is a promising approach to enhance the performance
and resilience of the ATM system in a complex and dynamic environment [13].
