- Construction of a Training Dataset for Vessel Distribution Prediction: The Northern Seas of Jeju Island
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Yonggil Park, Taehoon Kim, Hyeon-Gyeong Han, Cholyoung Lee
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GEO DATA. 2022;4(2):37-46. Published online June 30, 2022
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DOI: https://doi.org/10.22761/DJ2022.4.2.004
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 Abstract
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- Recently, interest in maritime accidents and safety-related research, such as preventing collisions between marine vessels, detecting illegal vessels, and predicting vessel routes, is increasing. Vessel location data-based vessel distribution map can support decision-making for maritime safety management, and if the vessel distribution can be predicted, it is possible to take a preemptive response for maritime security such as fishing safety management and illegal fishing prevention. In this study, a training dataset for vessel distribution prediction was constructed by collecting V-Pass data, weather warnings, and marine environment data. The result of resampling of reporting interval of vessel location data was mapped to grid data to evaluate the vessel density, and a total of 1,314,000 of training data were constructed for the study area. In the future, research to evaluate the accuracy by performing vessel distribution prediction modeling should be conducted.
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