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EN
Automatic Identification System (AIS) data is used for monitoring the movements of vessels live movements through instant transmission of vessel information while, at the same time, historical AIS data is used for marine traffic analysis by researchers. There are several methods and computer programs developed for the analysis of marine traffic by the use of AIS data. Combining the intersection algorithm proposed by Antonio (1992) and distance calculation method, this study develops a method to analyse vessel distribution on a selected cross sectional line (SCS) in the Northern Aegean Sea. As a complementary to the new methods proposed, a desktop application is developed in C# programming language to visualize the vessel distribution on the SCS line. SQL server is used for AIS data storage and analysis. The study is conducted over 7-day AIS data, specifically 2.382.469 rows and 42.884.442 data in total, belonging to the Northern Aegean Sea marine traffic. As a result, the mapping of the movements of different types of vessels in the Northern Aegean Sea is effectively performed and Frequency-Distance, Draught-Distance, SOG-Distance, SOG-COG distributions on the SCS line are successfully analysed by the new method introduced.
EN
The traffic condition has been analyzed by models that are based on Gas model and Obstacle Zone by Target (OZT) by using 1 year AIS data for Tsunami measure. By applying Gas model based method, it is possible to analyze the area in terms of ships' relative angle, size, speed and density. The OZT is originally developed to show the collision zone on the target ship's course. By using this method to the marine traffic analysis, high possibility of collision areas are estimated. Moreover, ships that courses are heading to OZT are identified and studied their position and how long they proceed course heading to OZT.
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