The Airborne Conflict Management (ACM) is advanced surveillance function for new generation civil aircraft, which is to provide enhanced Traffic Awareness and Traffic Conflict Awareness to the flight crew to prevent a loss of separation. The ACM applications provide Conflict Detection (CD), Conflict Resolution (CR), and Conflict Prevention (CP) functions against other traffic equipped aircraft. This article describe the pre-conflict mechanism of ACM which include monitoring and alerting predicted separation violation, corrective action to eliminate the conflict, and guidance to prevent the maneuver that would result in a conflict. According to flight conflict situation, the article create related traffic information circumstance and data environment of flight status to support conflict traffic pattern recognition, traffic threat classification, and traffic prevention advisory clustering for the CD, CR, and CP. The article describe the traffic information characteristic category, dimensions organization, and intent management of traffic situation to support traffic data related, developed and impacted analyses.


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    Titel :

    The research on big data based airborne conflict management


    Beteiligte:
    Wang, Guoqing (Autor:in) / Zhu, Zhiqiang (Autor:in) / Gu, Qingfan (Autor:in) / Wang, Juxiang (Autor:in)


    Erscheinungsdatum :

    01.09.2017


    Format / Umfang :

    325192 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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