At present, runway incursions have the greatest impact on runway safety, and it is also the most frequent cause of flight incidents. In order to prevent incidents of runway incursion, and to find the factors that induce these incidents, a Bayesian Network (BN) model is used to explore the relationship and interaction mechanism among those factors that cause runway incursion. It overcomes deficiencies attributed to the limitation of the sample capacity, and reveals the interaction law among human, aircraft, environment and management factors. It will provide a reliable technique to scientifically improve airport safety management, and further reduce accident rates.


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    Titel :

    Analysis of Runway Incursion in Civil Airport Based on Bayesian Network


    Beteiligte:
    Gao, Yang (Autor:in) / Li, Yang (Autor:in)

    Kongress:

    Ninth International Conference of Chinese Transportation Professionals (ICCTP) ; 2009 ; Harbin, China


    Erschienen in:

    Erscheinungsdatum :

    2009-07-23




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Analysis of Runway Incursion in Civil Airport Based on Bayesian Network

    Gao, Y. / Li, Y. | British Library Conference Proceedings | 2009



    Runway Incursion Corner

    Online Contents | 2000


    Runway Incursion Corner

    Online Contents | 2000