Improving the Maritime Traffic Evaluation with the Course and Speed Model
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Published:2023-12-04
Issue:23
Volume:13
Page:12955
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ISSN:2076-3417
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Container-title:Applied Sciences
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language:en
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Short-container-title:Applied Sciences
Author:
Lee Eui-Jong1ORCID, Kim Hyun-Suk1ORCID, Lee Eunkyu2ORCID, Kim Kyungsup3ORCID, Yu Yongung4, Lee Yun-Sok4
Affiliation:
1. SafeTechResearch, Deajeon 34050, Republic of Korea 2. Autonomous Ship Research Center, Samsung Heavy Industries, Daejeon 34051, Republic of Korea 3. Department of Computer Engineering, Chungnam National University, Daejeon 34134, Republic of Korea 4. Department of Coast Guards Studies, Korea Maritime & Ocean University, Busan 49112, Republic of Korea
Abstract
Recent projections from marine transportation experts highlight an uptick in maritime traffic, attributed to the fourth industrial revolution’s technological strides and global economic rebound. This trend underscores the need for enhanced systems for maritime accident prediction and traffic management. In this study, to analyze the flow of maritime traffic macroscopically, spatiality and continuity reflecting the output of ships are considered. The course–speed (CS) model used in this study involved analyzing COG, ROT, speed, and acceleration, which can be obtained from the ship’s AIS data, and calculating the deviation from the standard plan. In addition, spatiality and continuity were quantitatively analyzed to evaluate the smoothness of maritime traffic flow. A notable finding is that, in the target sea area, the outbound and inbound CS indices are measured at 0.7613 and 0.7501, suggesting that the outbound ship flows are more affected than inbound ship flows to the liquidity of maritime traffic flow. Using the CS model, a detailed quantitative evaluation of the spatiality and continuity of maritime traffic is presented. This approach facilitates robust comparisons over diverse scales and periods. Moreover, the research advances our understanding of factors dictating maritime traffic flow based on ship attributes. The study insights can catalyze the development of a novel index for maritime traffic management, enhancing safety and efficiency.
Funder
National Research Foundation of Korea Institute of Information & Communications Technology Planning & Evaluation
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference27 articles.
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