More and more attention has been directed to the vessel traffic safety, especially in the sensitive area such as in the vicinity of big dams. Since the uncertainty of the vessel traffic risk, the traditional way in analysis is inadequate. This paper introduces a novel method, a Bayesian MCMC approach to study the safety of vessel traffic. By learning the vessel traffic accidents and in-depth investigating the contributors, an effective Bayesian Network has been developed. The results show the method can be used for decision support in vessel traffic management.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Bayesian MCMC Approach to Study the Safety of Vessel Traffic


    Beteiligte:
    Yin, Fengyang (Autor:in) / Mou, Junmin (Autor:in) / Qiu, Jianhua (Autor:in)

    Kongress:

    First International Conference on Transportation Information and Safety (ICTIS) ; 2011 ; Wuhan, China


    Erschienen in:

    ICTIS 2011 ; 1838-1847


    Erscheinungsdatum :

    16.06.2011




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    A MCMC Approach for Bayesian Super-Resolution Image Reconstruction

    Tian, J. / Ma, K.-K. | British Library Conference Proceedings | 2005


    Optimization on stealth aircraft RCS models using Bayesian-MCMC estimation

    Dai, Xiaoxia / Cao, Chen / Feng, Yuan | British Library Online Contents | 2016