Due to high density of vessel traffic, busy waterways are water areas with high potential for collisions. The application of AIS (Automatic Identification System) makes it possible to investigate accurate and actual behavior of collision-involved ships, and benefits vessel traffic management and waterways design for these areas. As a case study, the authors focus on a TSS (Traffic Separation Scheme) off Rotterdam Port in Europe, and using AIS data, statistical analysis is made for collision involved ships. In order to identify the correlation of CPA (closest point of approach), which is a key indicator for collision avoidance, with ship's size, speed, and course, linear regression models are developed. To assess risks, a dynamic method based on SAMSON is presented.


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    Title :

    Study on collision avoidance in busy waterways by using AIS data


    Additional title:

    Untersuchung über die Kollisionsverhütung auf viel befahrenen Wasserwegen unter Verwendung von Daten des AIS (Automatisches Identifizierungssystem)


    Contributors:

    Published in:

    Ocean Engineering ; 37 , 5-6 ; 483-490


    Publication date :

    2010


    Size :

    8 Seiten, 16 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English






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