Air Traffic Management Report: System Analysis and Recommendations

This report provides a comprehensive overview of Air Traffic Management (ATM). It begins with an introduction to ATM, emphasizing its role in ensuring safe and efficient aircraft operations. The report then delves into the NextGen system, a Federal Aviation Administration (FAA) program designed to modernize the National Airspace System (NAS). It explores the components and initiatives within NextGen, highlighting its significance in improving air transport efficiency. Furthermore, the report examines Unmanned Aerial Vehicles (UAVs), also known as drones, and their integration into ATM. It discusses various risks associated with ATM operations, such as radiofrequency interference, GPS failures, and accuracy degradation. Finally, the report offers recommendations to mitigate these risks, focusing on the need for scalable and digital systems to manage increased air traffic activity. The conclusion summarizes the key aspects of ATM, reinforcing its importance in ensuring the safe and proper flow of air traffic.

Air Traffic Management
Name of the Student
Name of the University
Author Note :

Table of Content
• Introduction
• Nextgen system
• National Airspace System
• Unmanned Aerial Vehicles (UAVs)
• Risk associated with operation
• Recommendation to mitigate risk
• Conclusion
• References

Introduction
• Air Traffic management in the domain of
aviation comprises of system which help in
departure from aerodrome and land to
respective aerodrome(Bongiorno et al., 2017).
• There has been increasing emphasizes on the
current ATM on the interoperable system
which allow the aircraft to easily operate.
• The minimum performance completely from
one airspace to another.

Nextgen system
• NextGen can be expanded as next air
transport system which is FAA program
being developed by national airspace system
(Stollenwerk et al., 2019).
• NextGen is just a single program which is
made up with series of initiative designed for
making air system much more efficient.
• Without understanding the components of
NextGen, it becomes much more difficult for
understanding the NextGen.

National Airspace System
• National airspace system has been created at dawn
of commercial aviation for getting aircraft that is
from point A to B in safe way (Lundberg et al.,
2018).
• NAS is all about protecting both person and
property on ground. It aims in safe and efficient
airspace environment.
• NAS is made up of network of air navigation
facilities, technology, airport with right rules and
regulation for operation of system.

Unmanned Aerial Vehicles (UAVs)
• UAV stands for Unmanned Aerial
Vehicle which is also as Drone. It is
operated remotely by human operator.
• UAV is completely based on remote
sensing which is new addition (Rey et
al., 2016).
• There are various components of UAV
which are selected on the basis of
design parameters (Kravaris et al.,
2019).

Risk associated with operation
Some of risk associated with operation of air traffic
management system are
• Radiofrequency interference with GPS signal
• Failure of GPS infrastructure
• Degradation of GPS accuracy
• Air traffic not equipped with other means of
navigation (Lundberg, Palmerius & Josefsson,
2018).

Recommendation to mitigate risk
• Air traffic system need to focus on
unmanned and autonomous aircraft.
• Air Traffic system needs to shift much
more scalable and digital system which
can monitor and manage the increased
activity.

Conclusion
• From the above slides that this
presentation is all about air
traffic management which
encompasses different kind of
system. It merely assist aircraft
department from an aerodrome.
Air traffic management is just a
service which has been
established to contribute to safe
and proper flow of air traffic.

References
• Bongiorno, C., Gurtner, G., Lillo, F., Mantegna, R. N., & Miccichè, S. (2017). Statistical characterization of deviations
from planned flight trajectories in air traffic management. Journal of Air Transport Management, 58, 152-163.
• Stollenwerk, T., O’Gorman, B., Venturelli, D., Mandrà, S., Rodionova, O., Ng, H., ... & Biswas, R. (2019). Quantum
annealing applied to de-conflicting optimal trajectories for air traffic management. IEEE transactions on intelligent
transportation systems, 21(1), 285-297.
• Lundberg, J., Arvola, M., Westin, C., Holmlid, S., Nordvall, M., & Josefsson, B. (2018). Cognitive work analysis in the
conceptual design of first-of-a-kind systems–designing urban air traffic management. Behaviour & Information
Technology, 37(9), 904-925.
• Rey, D., Rapine, C., Fondacci, R., & El Faouzi, N. E. (2016). Subliminal speed control in air traffic management:
Optimization and simulation. Transportation Science, 50(1), 240-262.
• Kravaris, T., Spatharis, C., Bastas, A., Vouros, G. A., Blekas, K., Andrienko, G., ... & Garcia, J. M. C. (2019). Resolving
Congestions in the Air Traffic Management Domain via Multiagent Reinforcement Learning Methods. arXiv preprint
arXiv:1912.06860.
• Lundberg, J., Palmerius, K. L., & Josefsson, B. (2018, September). Urban Air Traffic Management (UTM)
Implementation In Cities-Sampled Side-Effects. In 2018 IEEE/AIAA 37th Digital Avionics Systems Conference
(DASC) (pp. 1-7). IEEE.