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http://dx.doi.org/10.7837/kosomes.2020.26.7.759

Spatiotemporal Analysis of Vessel Trajectory Data using Network Analysis  

Oh, Jaeyong (Korea Research Institute of Ships and Ocean Engineering)
Kim, Hye-Jin (Korea Research Institute of Ships and Ocean Engineering)
Publication Information
Journal of the Korean Society of Marine Environment & Safety / v.26, no.7, 2020 , pp. 759-766 More about this Journal
Abstract
In recent years, the maritime traffic environment has been changing in various ways, and the traffic volume has been increasing constantly. Accordingly, the requirements for maritime traffic analysis have become diversified. To this end, traffic characteristics must first be analyzed using vessel trajectory data. However, as the conventional method is mostly manual, it requires a considerable amount of time and effort, and errors may occur during data processing. In addition, ensuring the reliability of the analysis results is difficult, because this method considers the subjective opinion of analysts. Therefore, in this paper, we propose an automated method of traffic network generation for maritime traffic analysis. In the experiment, spatiotemporal features are analyzed using data collected at Mokpo Harbor over six months. The proposed method can automatically generate a traffic network reflecting the traffic characteristics of the experimental area. In addition, it can be applied to a large amount of trajectory data. Finally, as the spatiotemporal characteristics can be analyzed using the traffic network, the proposed method is expected to be used in various maritime traffic analyses.
Keywords
Maritime traffic; Network analysis; AIS; Vessel trajectory; Spatiotemporal analysis;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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