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].
