Framework for Mid-Air Traffic Collision Detection Using Data Analytics

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Framework for Mid-Air Traffic Collision Detection Using Data Analytics

Qamar, Rohail / Asif, Raheela / Kumar, Pardeep / Ali, Syed Abbas

Flight safety is a wide area ranging from human life to aircraft. One of the biggest risks is lack of communication or communication failure between the pilot and air traffic control tower can lead to flight delays and catastrophic accidents not just destroying the aircraft but also losing hundreds of human lives. The purpose of this study is the betterment of aircraft safety. We developed a system using data analytics, which creates an environment in the aircraft’s cockpit by providing the pilot with a visual system. It allows identifying the neighboring aircraft that lies in the proximity of one aircraft. Generating the alert and warning that other aircraft comes in that radius. This system tries to ensure the maximum possible safety of the aircraft in a mid-air collision.

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Document information

Title :

Framework for Mid-Air Traffic Collision Detection Using Data Analytics

Additional title:

Intel.Syst.Ref.Library

Contributors:

Kumar, Pardeep (editor) / Obaid, Ahmed Jabbar (editor) / Cengiz, Korhan (editor) / Khanna, Ashish (editor) / Balas, Valentina Emilia (editor) / Qamar, Rohail (author) / Asif, Raheela (author) / Kumar, Pardeep (author) / Ali, Syed Abbas (author)

Published in:

A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems ; Chapter : 24 ; 451-461

Intelligent Systems Reference Library ; 210

Publication date :

2021-08-24

Size :

11 pages

ISBN :

978-3-030-76653-5 , 978-3-030-76652-8

ISSN :

1868-4408 , 1868-4394

DOI :