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Air Traffic Management system used intelligent computing


Article Information

Title: Air Traffic Management system used intelligent computing

Authors: Sallami Chougdali, Khalifa Mansouri, Mohamed Youssfi

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2019

Volume: 14

Issue: 2

Language: English

Categories

Abstract

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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