{"id":"https://openalex.org/W4414066114","doi":"https://doi.org/10.3390/ijgi14090345","title":"MART: Ship Trajectory Prediction Model Based on Multi-Dimensional Attribute Association of Trajectory Points","display_name":"MART: Ship Trajectory Prediction Model Based on Multi-Dimensional Attribute Association of Trajectory Points","publication_year":2025,"publication_date":"2025-09-07","ids":{"openalex":"https://openalex.org/W4414066114","doi":"https://doi.org/10.3390/ijgi14090345"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi14090345","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi14090345","pdf_url":"https://www.mdpi.com/2220-9964/14/9/345/pdf?version=1757325864","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/14/9/345/pdf?version=1757325864","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106022167","display_name":"S. J. Zhao","orcid":"https://orcid.org/0009-0003-0811-8062"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Senyang Zhao","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648538","display_name":"Wei Guo","orcid":"https://orcid.org/0000-0001-8616-0221"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Guo","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100330523","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0002-3954-6102"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Liu","raw_affiliation_strings":["School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100648538"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30676856,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":"9","first_page":"345","last_page":"345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11604","display_name":"Ship Hydrodynamics and Maneuverability","score":0.9652000069618225,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12086","display_name":"Structural Integrity and Reliability Analysis","score":0.9283000230789185,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7728999853134155},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.478300005197525},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.4691999852657318},{"id":"https://openalex.org/keywords/automatic-identification-system","display_name":"Automatic Identification System","score":0.46860000491142273},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3864000141620636},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.3846000134944916},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.37040001153945923}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7728999853134155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.692300021648407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5026999711990356},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4853000044822693},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.478300005197525},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.4691999852657318},{"id":"https://openalex.org/C146997752","wikidata":"https://www.wikidata.org/wiki/Q787197","display_name":"Automatic Identification System","level":2,"score":0.46860000491142273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4327000081539154},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3864000141620636},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3846000134944916},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.37040001153945923},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3700000047683716},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.34130001068115234},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.32100000977516174},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.30169999599456787},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.2685999870300293},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/ijgi14090345","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi14090345","pdf_url":"https://www.mdpi.com/2220-9964/14/9/345/pdf?version=1757325864","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f15b121823334bdbb76add66bf448d38","is_oa":true,"landing_page_url":"https://doaj.org/article/f15b121823334bdbb76add66bf448d38","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 14, Iss 9, p 345 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/ijgi14090345","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi14090345","pdf_url":"https://www.mdpi.com/2220-9964/14/9/345/pdf?version=1757325864","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414066114.pdf","grobid_xml":"https://content.openalex.org/works/W4414066114.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W2062016451","https://openalex.org/W2103527399","https://openalex.org/W2140242774","https://openalex.org/W2215617441","https://openalex.org/W2879698168","https://openalex.org/W2944791333","https://openalex.org/W3015961574","https://openalex.org/W3041866381","https://openalex.org/W3126902186","https://openalex.org/W3184448832","https://openalex.org/W3200599341","https://openalex.org/W3207160263","https://openalex.org/W4206706469","https://openalex.org/W4220707949","https://openalex.org/W4288064704","https://openalex.org/W4293211255","https://openalex.org/W4380149055","https://openalex.org/W4385453337","https://openalex.org/W4386434910","https://openalex.org/W4388076818","https://openalex.org/W4390576778","https://openalex.org/W4392033237","https://openalex.org/W4392901669","https://openalex.org/W4396578912","https://openalex.org/W4396897179","https://openalex.org/W4407881604"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Ship":[0],"trajectory":[1,69,91,120,136],"prediction":[2,23,210,221],"plays":[3],"an":[4],"important":[5],"role":[6],"in":[7,39,98,118,177,184,255],"numerous":[8],"maritime":[9,41],"applications":[10],"and":[11,60,93,155,196,230,248],"services.":[12],"With":[13],"the":[14,20,36,78,82,94,107,113,124,141,147,158,164,169,175,179,185,190,197,206,216,220,226,234,241,244,249],"development":[15],"of":[16,35,87,90,101,109,112,152,168,243,252],"deep":[17,21],"learning":[18,22,146],"technology,":[19],"method":[24],"based":[25],"on":[26,192,225,233],"Automatic":[27],"Identification":[28],"System":[29],"(AIS)":[30],"data":[31],"has":[32],"become":[33],"one":[34],"hot":[37],"topics":[38],"current":[40,46],"traffic":[42],"research.":[43],"However,":[44],"as":[45,56,72],"models":[47,79],"always":[48],"concatenate":[49],"dynamic":[50,88,102,116,153,186],"information":[51,71,89,96,103,117,167],"with":[52,213],"distinct":[53],"meanings":[54],"(such":[55],"position,":[57],"ship":[58,119],"speed,":[59],"heading)":[61],"into":[62],"a":[63,134],"single":[64],"integrated":[65],"input":[66],"when":[67],"processing":[68],"point":[70],"input,":[73],"it":[74,156],"becomes":[75],"difficult":[76],"for":[77,145],"to":[80,139,162,173],"grasp":[81],"correlations":[83],"between":[84,246],"different":[85,150,182],"types":[86,151],"points":[92],"specific":[95],"contained":[97],"each":[99],"type":[100],"itself.":[104],"Aiming":[105],"at":[106],"problem":[108],"insufficient":[110],"modeling":[111],"relationships":[114,180],"among":[115,149,181],"prediction,":[121],"we":[122],"propose":[123],"Multi-dimensional":[125],"Attribute":[126],"Relationship":[127],"Transformer":[128],"(MART)":[129],"model.":[130],"This":[131,238],"model":[132,176,191,201,218],"introduces":[133],"simulated":[135],"training":[137],"strategy":[138],"obtain":[140],"Association":[142],"Loss":[143,160],"(AssLoss)":[144],"associations":[148],"information;":[154],"uses":[157],"Distance":[159],"(DisLoss)":[161],"integrate":[163],"relative":[165,250],"distance":[166,251],"attribute":[170,253],"embedding":[171],"encoding":[172],"assist":[174],"understanding":[178],"values":[183,254],"information.":[187],"We":[188],"test":[189],"two":[193],"AIS":[194],"datasets,":[195],"experiments":[198],"show":[199],"this":[200],"outperforms":[202],"existing":[203],"models.":[204],"In":[205],"15":[207],"h":[208],"long-term":[209],"task,":[211],"compared":[212],"other":[214],"models,":[215],"MART":[217],"improves":[219],"accuracy":[222],"by":[223,231],"9.5%":[224],"Danish":[227],"Waters":[228],"Dataset":[229],"15.4%":[232],"Northern":[235],"European":[236],"Dataset.":[237],"study":[239],"reveals":[240],"importance":[242],"relationship":[245],"attributes":[247],"spatiotemporal":[256],"sequence":[257],"modeling.":[258]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}