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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Bayesian MCMC Approach to Study the Safety of Vessel Traffic


    Contributors:
    Yin, Fengyang (author) / Mou, Junmin (author) / Qiu, Jianhua (author)

    Conference:

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


    Published in:

    ICTIS 2011 ; 1838-1847


    Publication date :

    2011-06-16




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English