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http://dx.doi.org/10.5391/JKIIS.2015.25.3.293

A Study on the Factor Analysis of the Encounter Data in the Maritime Traffic Environment  

Kim, Kwang-Il (Dep. of Maritime Transportation, Mokpo National Maritime University)
Jeong, Jung Sik (Dep. of International Maritime Transportation Science, Mokpo National Maritime University)
Park, Gyei-Kark (Dep. of International Maritime Transportation Science, Mokpo National Maritime University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.25, no.3, 2015 , pp. 293-298 More about this Journal
Abstract
The vessel encounter data collected from the vessel trajectories in the maritime traffic situation is possible to analyze vessel collision and near-collision risk using statistical method. In this study, analyzing variables extracted from the vessel encounter data using factor analysis, we determine main factors effecting vessel collision risk from vessel encounter data. In order to calculate each factor, it used principal component analysis for factor analysis after normalization and standardization of vessel encounter variables. As a result of the factor analysis, main effect factors are summarized into the vessel approach factor and collision avoidance variance factor.
Keywords
Factor Analysis; Principal Component Analysis; Vessel Collision Risk; Near-Collision; Logistic Regression;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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