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dc.contributor.authorJussila, Jari
dc.contributor.authorLehtonen, Timo
dc.contributor.authorLaitinen, Jari
dc.contributor.authorMakkonen, Markus
dc.contributor.authorFrank, Lauri
dc.date.accessioned2018-10-30T10:19:02Z
dc.date.available2018-10-30T10:19:02Z
dc.date.issued2018
dc.identifier.citationJussila, J., Lehtonen, T., Laitinen, J., Makkonen, M., & Frank, L. (2018). Visualising maritime vessel open data for better situational awareness in ice conditions. In <i>Academic MindTrek'18 : Proceedings of the 22nd International Academic MindTrek Conference</i> (pp. 92-99). Association for Computing Machinery. <a href="https://doi.org/10.1145/3275116.3275124" target="_blank">https://doi.org/10.1145/3275116.3275124</a>
dc.identifier.otherCONVID_28680272
dc.identifier.otherTUTKAID_79264
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/60021
dc.description.abstractSituational awareness of maritime vessels in ice conditions is important for the operation of supply chains. In the artic sea areas, the ice conditions pose a major challenge for maritime vessels getting stuck in the ice and being significantly delayed in arrival to harbor. Data science and open data provide new opportunities to overcome these challenges. This paper introduces available open data sources and data visualizations that can be used to develop applications, for example, for detecting maritime vessel collision, predicting estimated time of arrival to harbor, as well as maritime vessel route optimization in ice conditions. The paper begins by introducing available open data sources and existing computational studies on maritime vessels in ice conditions, then presents the developed data science solution and visualizations of the open data along with the open source software code, and finally concludes with a discussion on the potential application areas and opportunities for further research.fi
dc.format.extent282
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofAcademic MindTrek'18 : Proceedings of the 22nd International Academic MindTrek Conference
dc.rightsIn Copyright
dc.subject.otherjäätilanne
dc.subject.otheravoin data
dc.subject.othermaritime vessel
dc.subject.otherice conditions
dc.titleVisualising maritime vessel open data for better situational awareness in ice conditions
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-201810244517
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietojärjestelmätiedefi
dc.contributor.oppiaineInformation Systems Scienceen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.date.updated2018-10-24T09:15:14Z
dc.relation.isbn978-1-4503-6589-5
dc.description.reviewstatuspeerReviewed
dc.format.pagerange92-99
dc.type.versionpublishedVersion
dc.rights.copyright© 2018 the Authors
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceMindTrek conference
dc.subject.ysomeriliikenne
dc.subject.ysomerialueet
dc.subject.ysopaikkatiedot
dc.subject.ysopaikkatietojärjestelmät
dc.subject.ysoavoin lähdekoodi
dc.subject.ysotilannekuva
dc.subject.ysoavoin tieto
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p2046
jyx.subject.urihttp://www.yso.fi/onto/yso/p8446
jyx.subject.urihttp://www.yso.fi/onto/yso/p2152
jyx.subject.urihttp://www.yso.fi/onto/yso/p16923
jyx.subject.urihttp://www.yso.fi/onto/yso/p17089
jyx.subject.urihttp://www.yso.fi/onto/yso/p25187
jyx.subject.urihttp://www.yso.fi/onto/yso/p26655
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1145/3275116.3275124


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