{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T13:45:36Z","timestamp":1768743936498,"version":"3.49.0"},"reference-count":26,"publisher":"Informa UK Limited","issue":"1","license":[{"start":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T00:00:00Z","timestamp":1666051200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Geo-spatial Information Science"],"published-print":{"date-parts":[[2024,1,2]]},"DOI":"10.1080\/10095020.2022.2072241","type":"journal-article","created":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T09:45:24Z","timestamp":1666086324000},"page":"202-220","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":6,"title":["Extended linear regression model for vessel trajectory prediction with\n            <i>a-priori<\/i>\n            AIS information"],"prefix":"10.1080","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5327-7324","authenticated-orcid":false,"given":"Christiaan Neil","family":"Burger","sequence":"first","affiliation":[{"name":"Computer Science Division, Stellenbosch University, Stellenbosch, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7046-7023","authenticated-orcid":false,"given":"Waldo","family":"Kleynhans","sequence":"additional","affiliation":[{"name":"Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5274-0105","authenticated-orcid":false,"given":"Trienko Lups","family":"Grobler","sequence":"additional","affiliation":[{"name":"Computer Science Division, Stellenbosch University, Stellenbosch, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"301","published-online":{"date-parts":[[2022,10,18]]},"reference":[{"key":"e_1_3_5_2_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0373463320000442"},{"key":"e_1_3_5_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/MDM48529.2020.00062"},{"key":"e_1_3_5_4_1","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/7194342"},{"key":"e_1_3_5_5_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0373463318000504"},{"key":"e_1_3_5_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12530-015-9133-5"},{"key":"e_1_3_5_7_1","first-page":"226","volume-title":"Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining","author":"Ester M.","year":"1996","unstructured":"Ester, M., H.-P. Kriegel, J. Sander, and X. Xiaowei. 1996. \u201cA Density-based Algorithm for Discovering Clusters in Large Spatial Databases with Noise.\u201d In Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, 226\u2013231."},{"key":"e_1_3_5_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054421"},{"key":"e_1_3_5_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8900105"},{"key":"e_1_3_5_10_1","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/1114.001.0001"},{"key":"e_1_3_5_11_1","doi-asserted-by":"publisher","DOI":"10.23919\/ICIF.2017.8009762"},{"key":"e_1_3_5_12_1","doi-asserted-by":"publisher","DOI":"10.5604\/01.3001.0010.6747"},{"key":"e_1_3_5_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSNT.2012.6526048"},{"key":"e_1_3_5_14_1","doi-asserted-by":"publisher","DOI":"10.1115\/1.3662552"},{"key":"e_1_3_5_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1247480.1247546"},{"key":"e_1_3_5_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2020.107478"},{"key":"e_1_3_5_17_1","first-page":"1","volume-title":"17th International Conference on Information Fusion (FUSION),","author":"Pallotta G.","year":"2014","unstructured":"Pallotta, G., S. Horn, P. Braca, and K. Bryan. 2014. \u201cContext-enhanced Vessel Prediction Based on Ornstein-Uhlenbeck Processes Using Historical AIS Traffic Patterns: Real-World Experimental Results.\u201d In 17th International Conference on Information Fusion (FUSION),1\u20137. IEEE."},{"key":"e_1_3_5_18_1","volume-title":"International COST MOVE Workshop on Moving Objects at Sea","author":"Pallotta G.","year":"2013","unstructured":"Pallotta, G., M. Vespe, and K. Bryan. 2013a. \u201cTraffic Route Extraction and Anomaly Detection from AIS Data.\u201d International COST MOVE Workshop on Moving Objects at Sea. Brest, France."},{"key":"e_1_3_5_19_1","doi-asserted-by":"publisher","DOI":"10.3390\/e15062218"},{"key":"e_1_3_5_20_1","first-page":"2825","article-title":"Scikit-learn: Machine Learning in Python","volume":"12","author":"Pedregosa F.","year":"2011","unstructured":"Pedregosa, F., G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, G. Olivier, M. Blondel, et al. 2011. \u201cScikit-learn: Machine Learning in Python.\u201d Journal of Machine Learning Research 12:2825\u20132830.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_5_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2019.104141"},{"key":"e_1_3_5_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2019.04.024"},{"key":"e_1_3_5_23_1","doi-asserted-by":"publisher","DOI":"10.1080\/20464177.2019.1665258"},{"key":"e_1_3_5_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CANDAR.2013.39"},{"key":"e_1_3_5_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2908191"},{"key":"e_1_3_5_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3440840.3440842"},{"key":"e_1_3_5_27_1","first-page":"4554","volume-title":"29th International Ocean and Polar Engineering Conference","author":"Yaun Z.","year":"2019","unstructured":"Yaun, Z., J. Liu, Y. Liu, and L. Zongzhi 2019. \u201cA Novel Approach for Vessel Trajectory Reconstruction Using AIS Data.\u201d In 29th International Ocean and Polar Engineering Conference, 4554\u20134559."}],"container-title":["Geo-spatial Information Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/10095020.2022.2072241","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,19]],"date-time":"2024-03-19T14:23:51Z","timestamp":1710858231000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/10095020.2022.2072241"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,18]]},"references-count":26,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024,1,2]]}},"alternative-id":["10.1080\/10095020.2022.2072241"],"URL":"https:\/\/doi.org\/10.1080\/10095020.2022.2072241","relation":{},"ISSN":["1009-5020","1993-5153"],"issn-type":[{"value":"1009-5020","type":"print"},{"value":"1993-5153","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,18]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tgsi20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tgsi20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2021-02-02","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-04-26","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-10-18","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}