소형선박 야간 시공간 밀집도 예측분석에 관한 연구 = A Study on the Prediction and Analysis of Nighttime Spatiotemporal Density of Small Boats

다국어 초록 (Multilingual Abstract)

This study aims to support the safe navigation of small boats by analyzing their spatial distribution and predicting future maritime traffic congestion using data from the Automatic Identification System (AIS) and the Visible Infrared Imaging Radiometer Suite Boat Detection (VBD). While AIS is legally required only for vessels above a certain size, it has limitations in capturing the movements of smaller boats. To address this issue, VBD satellite data were integrated to improve the accuracy of small boat density analysis. Based on the collected spatiotemporal data, a long short-term memory neural network, commonly used for time series forecasting, was used to predict vessel density patterns. The results of this study can provide foundational data for maritime accident prevention and enhance navigational safety. In particular, the proposed approach is expected to assist effective navigation planning and decision-making during high-risk situations, such as nighttime navigation with limited visibility.