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1. Ж.Н.Узоқов MAXSUS SON 2023-1 мақола нашрга чиқди.

Results 
The optimization of the network performance can provide recommendations for planning and 
managing the ATM system according to different scenarios and criteria. For instance, flight delay can 
be reduced by adjusting flight schedules or rerouting flights, flight distance can be reduced by 
implementing direct or optimal routes, and flight fuel consumption can be reduced by applying speed 
or altitude control. Moreover, different performance indicators can reflect different interests or values 
of different stakeholders in the ATM system, such as passengers, airlines, ANSPs, or regulators [6]. 
Some of the main advantages and disadvantages of using complex network theory in air traffic 
control (ATC) are: 
Advantages

Complex network theory can provide a systematic and comprehensive way to model and 
analyze the air traffic system, by considering the aircraft as nodes, and the potential conflicts or 
interactions between them as links. 
Complex network theory can measure and evaluate the complexity of air traffic from different 
perspectives, such as the conflict complexity, the situation complexity, and the intervention 
complexity, by using various network metrics and analysis methods. 
Complex network theory can enhance the situation awareness and decision making of air traffic 
controllers, by providing them with objective and accurate indicators of air traffic complexity, such 
as the number and severity of conflicts, the diversity and uncertainty of aircraft states and behaviors, 
and the amount and intensity of ATC interventions.
Complex network theory can help design and implement intelligent support tools for air traffic 
controllers, such as conflict prediction, situation assessment, intervention recommendation, and 


INNOVATSION TEXNOLOGIYALAR Maxsus son, 2023-yil, dekabr 
ISSN 2181-4732 
32 
complexity management, based on the complex network analysis methods and the machine learning 
techniques. 
Complex network theory can optimize the design and operation of air traffic networks, such as 
the network topology, the network capacity, the network robustness, and the network efficiency, by 
using the complex network metrics and the network optimization methods. 
Complex network theory can explore the co-evolution and interdependence of air traffic 
networks and other related networks, such as the urban network, the transportation network, and the 
communication network, by using the multilayer network theory and the network dynamics models. 
Disadvantages

Complex network theory requires collecting and processing large-scale and high-dimensional 
data of air traffic networks, such as the flight trajectories, the aircraft states, the ATC instructions, 
and the environmental factors, which can be difficult and costly. 
Complex network theory involves modeling and simulating the air traffic system, which can be 
complex and uncertain, due to the nonlinear and stochastic dynamics, the human factors, the 
operational constraints, and the emergent phenomena. 
Complex network theory faces the trade-off and coordination between the performance and 
safety objectives, such as the network capacity, the network efficiency, the network robustness, and 
the network resilience, which can be challenging and conflicting. 
Complex network theory needs to integrate and validate the intelligent support tools for air 
traffic 
controllers, 
which 
can 
raise 
issues 
of 
compatibility, 
usability, 
reliability,
and acceptability [7, 8]. 

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