Insights of Models for Air Traffic Management System
Sabah Mohammed Fayadh1, Saad Talib Hasson2
1Sabah Mohammed Fayadh, College of Information Technology, University of Babylon, Iraq.
2Saad Talib Hasson, College of Information Technology, University of Babylon, Iraq.
Manuscript received on 26 November 2019 | Revised Manuscript received on 07 December 2019 | Manuscript Published on 16 December 2019 | PP: 459-467 | Volume-8 Issue-3S3 November 2019 | Retrieval Number: C10811183S319/2019©BEIESP | DOI: 10.35940/ijrte.C1081.1183S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In many airports and air markets, congestion problems & weather are becoming more and more severe. To keep Air Traffic Control (ATC) against the overload of Air Traffic Flow Management (ATFM) activity, attempts to anticipate and prevent the resulting overload and limit the delays. A delay in the arrival of the flight (so-called congestion) occurs when the traffic expects to surpass the arrival and departure capacity of the airport or the airsector capacity. There is a very extensive over general reasoning to be considered in this area. Generally speaking, most of the references found in the literature published a few years ago refer to the simplest versions, those that do not take airsector into account. This happens because the research was first done in the USA only, where traffic issues basicallylimited to the airports congestion. In the paper we present a comprehensive survey of the key optimization models of literature.
Keywords: Air Traffic Control, ATFM, Congestion.
Scope of the Article: Open Models and Architectures