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
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;
Conference_Titel :
Fuzzy Theory and Its Applications (iFUZZY), 2013 International Conference on
Conference_Location :
Taipei
DOI :
10.1109/iFuzzy.2013.6825421
