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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    Titel :

    Framework for Mid-Air Traffic Collision Detection Using Data Analytics


    Weitere Titelangaben:

    Intel.Syst.Ref.Library


    Beteiligte:
    Kumar, Pardeep (Herausgeber:in) / Obaid, Ahmed Jabbar (Herausgeber:in) / Cengiz, Korhan (Herausgeber:in) / Khanna, Ashish (Herausgeber:in) / Balas, Valentina Emilia (Herausgeber:in) / Qamar, Rohail (Autor:in) / Asif, Raheela (Autor:in) / Kumar, Pardeep (Autor:in) / Ali, Syed Abbas (Autor:in)


    Erscheinungsdatum :

    2021-08-24


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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