Methods of Air Traffic Management Using Artificial Intelligence in India

Authors

  • Prathapagiri Harish Kumar  Department of Computer Science and Engineering, Kakatiya Institute of Technology and Science, Hanamkonda, Telangana, India
  • Mohammed Nasser Hussain  Department of Computer Science and Engineering, Kakatiya Institute of Technology and Science, Hanamkonda, Telangana, India
  • Kotha Nikhil Reddy  Department of Computer Science and Engineering, Kakatiya Institute of Technology and Science, Hanamkonda, Telangana, India
  • Shankesi Laxmi Sai Deep  Department of Civil Engineering, SR Engineering College, Hanamkonda, Telangana, India.

DOI:

https://doi.org/10.32628/IJSRST229490

Keywords:

Aircraft, Air Traffic control System, pollution, Traffic Flow, Artificial intelligence.

Abstract

Artificial intelligence (AI) has been recognised as having a broad potential to reduce human workload or increase human capabilities in complex scenarios; however, it is now clear that AI also plays an important role in transforming our lives by promoting more efficient existing services or completely new services. AI is already assisting managers (airlines/airports managers, air traffic management) and operators in a wide range of aviation and air traffic system applications (pilots, air traffic controllers, airport operators, flow controllers). The aviation and air traffic management (ATM) sectors are now confronted with new interconnected challenges: energy transition, increased environmental protection, increased capacity flexibility, integration of new components into air traffic (drones), and system resilience to large traffic perturbations (economic crises, pandemics). AI should help to discover effective solutions to all of these problems. The capacity and safety of the airspace system are heavily reliant on the competent coordination of air traffic control System (ATCS) and flight desk employees. This indicates that aviation traffic will expand at an exponential pace, causing substantial congestion, flight delays, and pollution. Maintaining safe spacing between aircrafts, directing them during takeoff and landing from airports, guiding them around adverse weather, and ensuring that traffic moves smoothly with minimum delays. The goal of this Research Topic is to develop and apply new AI techniques to solve new aircraft operations and air traffic management problems, with the goal of making air transportation operations (including air traffic) more efficient and safe than they are today, while new aviation technologies and new airspace organisation concepts are introduced, and the main goal of this research is to provide automatic communication between the airport and the aircraft. The Problem of manually checking climatic conditions, runway parameters, air traffic, and various other information can be solved by using GSM technology. To reduce the manual efforts and human errors. Before landing, the arrival time of the aircraft is announced automatically.

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Published

2022-08-30

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Section

Research Articles

How to Cite

[1]
Prathapagiri Harish Kumar, Mohammed Nasser Hussain, Kotha Nikhil Reddy, Shankesi Laxmi Sai Deep "Methods of Air Traffic Management Using Artificial Intelligence in India" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 4, pp.560-569, July-August-2022. Available at doi : https://doi.org/10.32628/IJSRST229490