A probabilistic analytics method to identify striking ship of ship-buoy contact at coastal waters

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorLiu, Leien_US
dc.contributor.authorZhang, Mingyangen_US
dc.contributor.authorHu, Yueen_US
dc.contributor.authorZhu, Weien_US
dc.contributor.authorXu, Shengen_US
dc.contributor.authorYu, Qingen_US
dc.contributor.departmentDepartment of Mechanical Engineeringen
dc.contributor.groupauthorMarine Technologyen
dc.contributor.organizationSoutheast University, Nanjingen_US
dc.contributor.organizationTongji Universityen_US
dc.contributor.organizationNavigation Guarantee Center of South China Seaen_US
dc.contributor.organizationNorwegian University of Science and Technologyen_US
dc.contributor.organizationJimei Universityen_US
dc.date.accessioned2023-01-02T09:28:50Z
dc.date.available2023-01-02T09:28:50Z
dc.date.issued2022-12-15en_US
dc.description.abstractThe identification of the ship that contact with the buoy can provide evidence for accident accountability. To this aim, the paper develops a probabilistic analytics method to evaluate the ship-buoy contact risk for the striking ship identification at the coastal areas by combining buoy domain and bounding box models. The method makes use of Automatic Identification System (AIS) data and navigational buoy data. Firstly, an AIS-based probabilistic buoy domain model is adopted for the determination of the safety boundary of the buoy to detect potential striking ships with a higher contact probability. Then, the bounding boxes of the navigational buoy and the detected potential striking ships are developed to detect the real striking ship by analyzing the interaction be-tween the ship bounding box and the buoy bounding box. Finally, the probabilistic analytics method is demonstrated in the South China Sea and validated using historical ship-buoy contact records. Results indicated that, from a probabilistic perspective, the safety buoy domain (critical boundary) existed with diverse distances dynamically. The proposed method could assist the identification of striking ships while aiding the definition of the safety buoy domain for preventing ship-buoy contacts. As a result, it has the potential to support the development of ship-buoy contact risk management and assist surveillance operators and master on board by improving their cognitive abilities in dangerous traffic scenarios.en
dc.description.versionPeer revieweden
dc.format.extent17
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationLiu, L, Zhang, M, Hu, Y, Zhu, W, Xu, S & Yu, Q 2022, ' A probabilistic analytics method to identify striking ship of ship-buoy contact at coastal waters ', Ocean Engineering, vol. 266, 113102 . https://doi.org/10.1016/j.oceaneng.2022.113102en
dc.identifier.doi10.1016/j.oceaneng.2022.113102en_US
dc.identifier.issn0029-8018
dc.identifier.issn1873-5258
dc.identifier.otherPURE UUID: 91661cd9-8702-4cc0-84fe-c38f8dd65883en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/91661cd9-8702-4cc0-84fe-c38f8dd65883en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/96071143/1_s2.0_S002980182202385X_main_1.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/118682
dc.identifier.urnURN:NBN:fi:aalto-202301021044
dc.language.isoenen
dc.publisherElsevier Ltd
dc.relation.ispartofseriesOcean Engineeringen
dc.relation.ispartofseriesVolume 266en
dc.rightsopenAccessen
dc.subject.keywordMaritime safetyen_US
dc.subject.keywordCollisionen_US
dc.subject.keywordStriking ships identificationen_US
dc.subject.keywordSafety domainen_US
dc.subject.keywordAIS dataen_US
dc.subject.keywordRISK ANALYSISen_US
dc.subject.keywordCOLLISION-AVOIDANCEen_US
dc.subject.keywordMODELen_US
dc.subject.keywordDOMAINen_US
dc.subject.keywordINSTALLATIONSen_US
dc.subject.keywordSEVERITYen_US
dc.subject.keywordVESSELen_US
dc.subject.keywordOILen_US
dc.titleA probabilistic analytics method to identify striking ship of ship-buoy contact at coastal watersen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion
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