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http://dx.doi.org/10.5394/KINPR.2017.41.6.445

A Study on the Improvement of Recommended Route in the Vicinity of Wando Island using Support Vector Machine  

Yoo, Sang-Lok (Wando Vessel Traffic Services, Korea Coast Guard)
Jung, Cho-Young (Division of Marine Industry - Transportation Science and Technoloy, Kunsan National University)
Publication Information
Journal of Navigation and Port Research / v.41, no.6, 2017 , pp. 445-450 More about this Journal
Abstract
It is necessary to set a route to reflect the traffic flow for the safety of the traffic vessels. This ongoing analysis is needed to ensure that the vessels comply with a route. The purpose of this study is to discover the problems of the recommended route vicinity for Wando Harbor and suggest an improvement plan. We used a support vector machine based on the ship's trajectory to establish an efficient route center line. Since the vessels should navigate to the starboard side, with reference to the center line of the recommended route, the trajectories of the vessels were divided into two clusters. The support vector machine is being used in many fields such as pattern recognition, and it is effective for this binary classification. As a result of this study, about 79.5 % of the merchant eastbound ships in a 2.4 NM distance to Jangjuk Sudo did not observe the recommended route, so the risk of collision always existed. The contraflow traffic rate of the route of the eastbound ships decreased from 79.5 % to 30.9 % when the recommended route was reset about 300 meters to the north, from its present position. The support vector machine applied in this study is expected to be applicable, to effectively set the route center line because the ship trajectories can be classified into two clusters.
Keywords
Support Vector Machine; Cluster; Trajectory; Recommended Route; Contraflow Traffic;
Citations & Related Records
Times Cited By KSCI : 11  (Citation Analysis)
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