In Vessel Traffic Service (VTS), prediction of ship traffic flow is essential for VTS operator. But, by external force such as tidal current, wind, wave and other regulations, it was difficult to predict ship traffic flow. In this paper, in order to utilize ship trajectory big data by Automatic Identification System (AIS), we propose the method to convert ship speed data to categorical data dividing ship navigating routes into several gate lines. Then experiments to verify model accuracy conduct using multiple input and output variables with artificial neural network.


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    Title :

    Preprocessing Ship Trajectory Data for Applying Artificial Neural Network in Harbour Area


    Contributors:


    Publication date :

    2017-11-01


    Size :

    300112 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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