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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(More)
A prediction of vessels movements helps to improve safety of navigation. In an arbitrary water area, the prediction information of vessels to be encountered can be provided by observing inbound/outbound vessels for ports. This study proposes a prediction table representing leeway and arrival time at each waypoint. Given the table, the encounted vessels are(More)
Recent maritime trading volume has been growing continuously and being activated marine leisure market. The government has to control the sea traffic volume through the facility operations such as maritime traffic centers. But more complex marine traffic situation in these trends, according to trend are marine accidents continue to occur. Marine accidents(More)
Among navigating ships a near-miss accident means an undesired event that did not result in collision, but had a potential to do so with high risk. The assessment of near miss accidents is required to take further proactive measure for re-duction of ship collision accident, while actual accident analysis helps finding any solution to prevent future maritime(More)
Vessel trajectories data are mainly collected using Automatic Identification System (AIS) in discrete intervals of 2~180 second. In process of e-Navigation, the maritime traffic gridded database will be used by producing grid image. In order to prepare for this, this study, we apply spline interpolation to the vessel trajectories, and develop proper grid(More)