• DocumentCode
    686287
  • Title

    Forecast of marine traffic volume using time series model

  • Author

    Sang-Rok Yoo ; Jung Sik Jeong ; Jae-Yong Jong ; Gyei-Kark Park

  • Author_Institution
    Dept. of Int. Maritime Trasportation Sci., Mokpo Nat. Maritime Univ., Mokpo, South Korea
  • fYear
    2013
  • fDate
    6-8 Dec. 2013
  • Firstpage
    122
  • Lastpage
    126
  • Abstract
    This study estimates future marine traffic volume using a popular time series model. It is significant to predict monthly traffic volume based on converted traffic data. It is more quantitative method by applying time series models. This research can use to provide basic traffic data for a port design and proactive VTS operation by considering marine traffic changes.
  • Keywords
    marine systems; sea ports; time series; traffic; marine traffic volume forecast; port design; proactive VTS operation; quantitative method; time series model; Educational institutions; Forecasting; Marine vehicles; Predictive models; Solid modeling; Standards; Time series analysis; ARIMA Model; Exponential Smoothing Method; Marine Traffic Volume; Prediction; Time Series Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Theory and Its Applications (iFUZZY), 2013 International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/iFuzzy.2013.6825421
  • Filename
    6825421
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=686287