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The Development of Regional Vessel Traffic Congestion Forecasts Using Hybrid Data from an Automatic Identification System and a Port Management Information System

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dc.contributor.authorJoonbae Son-
dc.contributor.authorDong-Ham Kim-
dc.contributor.authorSang-Woong Yun-
dc.contributor.authorHye-Jin Kim-
dc.contributor.authorSewon Kim-
dc.date.accessioned2023-12-22T10:01:28Z-
dc.date.available2023-12-22T10:01:28Z-
dc.date.issued2022-12-
dc.identifier.issn2077-1312-
dc.identifier.issn2077-1312-
dc.identifier.urihttps://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/9476-
dc.description.abstractThe present study proposes a new method that forecasts congestion in the area near a port by combining the automatic identification systems of ships and port management information data. The proposed method achieves 85% accuracy for one-day-long ship congestion forecasts. This accuracy level is high enough to act as a reference value for both manned and unmanned operation situations for autonomous vessels in port areas. The proposed forecast algorithm achieves 95% accuracy when used for a one-hour ship congestion forecast. However, the accuracy of the algorithm is degraded to almost half when the automatic identification system or the port management system is used independently. ? 2022 by the authors.-
dc.publisherMDPI AG-
dc.titleThe Development of Regional Vessel Traffic Congestion Forecasts Using Hybrid Data from an Automatic Identification System and a Port Management Information System-
dc.title.alternativeAIS 정보와 Port MIS 정보를 활용한 특정해역 선박 교통 혼잡도 개발-
dc.typeArticle-
dc.publisher.location스위스-
dc.identifier.doi10.3390/jmse10121956-
dc.identifier.scopusid2-s2.0-85144863632-
dc.identifier.wosid000902483500001-
dc.identifier.bibliographicCitationJournal of Marine Science and Engineering , v.10, no.20-
dc.citation.titleJournal of Marine Science and Engineering-
dc.citation.volume10-
dc.citation.number20-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaOceanography-
dc.relation.journalWebOfScienceCategoryEngineering, Marine-
dc.relation.journalWebOfScienceCategoryEngineering, Ocean-
dc.relation.journalWebOfScienceCategoryOceanography-
dc.subject.keywordAuthorautonomous vessel-
dc.subject.keywordAuthorport arrival and departure-
dc.subject.keywordAuthorport MIS (port management information system)-
dc.subject.keywordAuthorship AIS (automatic identification system)-
dc.subject.keywordAuthorvessel congestion forecast-
dc.subject.keywordAuthorvessel traffic congestion-
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