A Study on Grid-Cell-Type Maritime Traffic Distribution Analysis Based on AIS Data for Establishing a Coastal Maritime Transportation Network

Abstract

Recently, marine development plans such as offshore wind farms and marina port facilities have been established to use Korean coastal waters, and research on the development of operational ships such as autonomous ships and water-surface flying ships is being rapidly promoted. Since the marine traffic in Korean coastal waters is expected to increase, the government intends to construct a coastal maritime transportation network that connects Korean coastal waters to guarantee safe ship navigation. Therefore, this study used automatic-identification-system data analysis to obtain quantitative evaluation results on maritime traffic distribution characteristics and utilization levels for the entire Korean coastal waters in grid cell for greater consistency and compatibility. The characteristics of marine traffic distribution at a certain site in coastal Korean waters can be quantitatively examined using the findings of this study, and they may be used as grid-cell-type data-based information. Moreover, the vessel traffic index allows for extensive research while quickly understanding the present level of use of the passing ships by the sea area. In this regard, the findings of this study are expected to be useful for the future development of maritime transportation networks in Korean coastal waters.

Methodology for Predicting Maritime Traffic Ship Emissions Using Automatic Identification System Data

“…Although the main purpose of the AIS is to improve navigation safety, the data can be stored for later analysis, making AIS data a valuable resource for research. Large data sets generated by the AIS have been used in several maritime traffic studies, in particular, to characterize maritime traffic patterns using unsupervised learning strategies (e.g., [7,8]), for maritime anomaly detection (e.g., [9,10]), ship collision risk evaluation (e.g., [11,12]), maritime traffic [13] and port management [14], and emission assessments (e.g., [15,16]), etc., as reviewed by [17,18].…”

Vessel Trajectory Data Compression Algorithm considering Critical Region Identification

“…Due to the relevant requirements of the SOLAS Convention 2002 amendment, vessels engaged in international voyages are currently equipped with AIS equipment [1]. Access to vessel trajectory data is becoming more and more convenient, and the application of vessel AIS data in trafc network research [2], vessel trajectory prediction [3], route planning [4], and abnormal vessel behavior detection [5] is becoming more and more widespread. However, vessel trajectory data have a high sampling frequency, increasing data volume.…”