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Title: Air Traffic Management system used intelligent computing
Authors: Sallami Chougdali, Khalifa Mansouri, Mohamed Youssfi
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2019
Volume: 14
Issue: 2
Language: English
This paper presents the new real time approach based on agent architecture for intelligent and real time air traffic management systems. The proposed method consists to modulate the airport by two agents; the first one is the P-Agent or planner agent, it consists to negotiate with other airport and controls the aircrafts departures, also, it allows to schedule the aircraft landing, the second agent is Aircraft Landing Execution Agent (ALE-Agent), which allows controlling the aircraft landing operation inside Air Traffic Management Advisor (TMA). Also we propose the ATC-Agent, it consists to separate and to manage the air traffic in the transit airspace between the departure airport and arrival airport. To separate the aircrafts in the transit space and to schedule the aircrafts landing we proposed a new real time method based on the Least Laxity First algorithm. Our approach is developed to analyse and optimize the Air Traffic Management process and it’s compared by the classic method.
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