Onboard Support System for Decentralized Air Traffic Control

Kulida, Elena

doi:10.1109/mlsd.2019.8910993

2019 Twelfth International Conference "Management of Large-Scale System Development" (MLSD) 2019

DOI: 10.1109/mlsd.2019.8910993

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Onboard Support System for Decentralized Air Traffic Control

Elena Kulida

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2022

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Analysis of Air Traffic Management Models

Shankaramma¹,

Supreetha²,

S³

2022

IJITEE

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The high growth of air traffic flow has increased more bottleneck traffic issues in the air traffic management (ATM) system. The challenges between flight flow, air traffic control service and airspace are the major key parameters which support capability of domestic and international air transportation need to be looked by stakeholders. Many models are designed to incorporate to address the potential bottleneck issues of ATM. However, in these models’ analysis was not clearly presented. The proposed research review paper presents an analysis and insights of different models used in an air traffic management which includes, Big Data, Artificial Neural Network, Cloud Computing and Enterprise models.

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Analysis of Air Traffic Management Models

Shankaramma¹,

Supreetha²,

S³

2022

IJITEE

View full text Add to dashboard Cite

show abstract

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Onboard Support System for Decentralized Air Traffic Control

Cited by 1 publication

References 8 publications

Analysis of Air Traffic Management Models

Analysis of Air Traffic Management Models

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