The FAA/ASIAS Office and the Saab Sensis Corporation developed a system for the automated detection and evaluation of unusual or anomalous movements of aircraft taxiing on the airport surface. These anomalies may be precursors to safety incidents and may also indicate conditions leading to reductions in airport operational efficiency. This paper presents two case studies based on the data produced by the automated anomaly detection and scoring system; the case studies validate the system and explore causes of anomalies. Specifically, the relationship between frequency of anomaly occurrence and surface congestion is explored and a study of the relationship between the rate of occurrence of sudden-stop (SST) anomalies and other factors, including runway configuration and time-of- year, is undertaken. The paper discusses the role of automated anomaly detection in the development of safety management systems and the evaluation of benefits and risks of technology (e.g., moving map display) that may be deployed to mitigate anomaly occurrence and to improve airport operational safety and efficiency.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Causality of surface movement anomalies at KJFK airport


    Beteiligte:


    Erscheinungsdatum :

    01.10.2011


    Format / Umfang :

    202699 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Causes of aircraft movement anomalies on airport surfaces

    Levy, Benjamin S. | IEEE | 2011

    Freier Zugriff

    Analysis and causality of airport surface delays

    Levy, Benjamin S. / Knickerbocker, C. J. / Steven, R. et al. | IEEE | 2009



    Investigating the causality of potential collisions on the airport surface

    Waldron, Timothy P. / Ford, Andrew T. | IEEE | 2014


    Airport ramp surface movement monitoring system

    COX ISAIAH W / VANA JAN | Europäisches Patentamt | 2022

    Freier Zugriff