Improving the Maritime Traffic Evaluation with the Course and Speed Model
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 managem...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/23/12955 |
| _version_ | 1827592417621049344 |
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| author | Eui-Jong Lee Hyun-Suk Kim Eunkyu Lee Kyungsup Kim Yongung Yu Yun-Sok Lee |
| author_facet | Eui-Jong Lee Hyun-Suk Kim Eunkyu Lee Kyungsup Kim Yongung Yu Yun-Sok Lee |
| author_sort | Eui-Jong Lee |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T01:55:10Z |
| format | Article |
| id | doaj.art-cd906842ca0e43a0a2936be01c88c7f8 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T01:55:10Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-cd906842ca0e43a0a2936be01c88c7f82023-12-08T15:12:17ZengMDPI AGApplied Sciences2076-34172023-12-0113231295510.3390/app132312955Improving the Maritime Traffic Evaluation with the Course and Speed ModelEui-Jong Lee0Hyun-Suk Kim1Eunkyu Lee2Kyungsup Kim3Yongung Yu4Yun-Sok Lee5SafeTechResearch, Deajeon 34050, Republic of KoreaSafeTechResearch, Deajeon 34050, Republic of KoreaAutonomous Ship Research Center, Samsung Heavy Industries, Daejeon 34051, Republic of KoreaDepartment of Computer Engineering, Chungnam National University, Daejeon 34134, Republic of KoreaDepartment of Coast Guards Studies, Korea Maritime & Ocean University, Busan 49112, Republic of KoreaDepartment of Coast Guards Studies, Korea Maritime & Ocean University, Busan 49112, Republic of KoreaRecent 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.https://www.mdpi.com/2076-3417/13/23/12955spatialitycontinuityCS modelmaritime traffic flow |
| spellingShingle | Eui-Jong Lee Hyun-Suk Kim Eunkyu Lee Kyungsup Kim Yongung Yu Yun-Sok Lee Improving the Maritime Traffic Evaluation with the Course and Speed Model Applied Sciences spatiality continuity CS model maritime traffic flow |
| title | Improving the Maritime Traffic Evaluation with the Course and Speed Model |
| title_full | Improving the Maritime Traffic Evaluation with the Course and Speed Model |
| title_fullStr | Improving the Maritime Traffic Evaluation with the Course and Speed Model |
| title_full_unstemmed | Improving the Maritime Traffic Evaluation with the Course and Speed Model |
| title_short | Improving the Maritime Traffic Evaluation with the Course and Speed Model |
| title_sort | improving the maritime traffic evaluation with the course and speed model |
| topic | spatiality continuity CS model maritime traffic flow |
| url | https://www.mdpi.com/2076-3417/13/23/12955 |
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