{"id":"https://openalex.org/W7137358038","doi":"https://doi.org/10.1186/s40537-026-01399-4","title":"DM-trans: a distance-modulated transformer for vessel trajectory prediction with data fusion","display_name":"DM-trans: a distance-modulated transformer for vessel trajectory prediction with data fusion","publication_year":2026,"publication_date":"2026-03-16","ids":{"openalex":"https://openalex.org/W7137358038","doi":"https://doi.org/10.1186/s40537-026-01399-4"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-026-01399-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-026-01399-4","pdf_url":null,"source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1186/s40537-026-01399-4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017754062","display_name":"Yutong Song","orcid":"https://orcid.org/0000-0002-6896-3394"},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutong Song","raw_affiliation_strings":["College of Science, Qingdao University of Technology, Qingdao, 266000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, Qingdao University of Technology, Qingdao, 266000, China","institution_ids":["https://openalex.org/I143413998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129538950","display_name":"Zhitian Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]},{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhitian Zhang","raw_affiliation_strings":["College of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266000, China","institution_ids":["https://openalex.org/I143413998","https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121823590","display_name":"Tianhui Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianhui Qiu","raw_affiliation_strings":["College of Science, Qingdao University of Technology, Qingdao, 266000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, Qingdao University of Technology, Qingdao, 266000, China","institution_ids":["https://openalex.org/I143413998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129546306","display_name":"Shuai Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]},{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Guo","raw_affiliation_strings":["College of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266000, China","institution_ids":["https://openalex.org/I143413998","https://openalex.org/I108688024"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126416691","display_name":"Yanping Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanping Tian","raw_affiliation_strings":["Qingdao Branch, Naval Aviation University, Qingdao, 266000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qingdao Branch, Naval Aviation University, Qingdao, 266000, China","institution_ids":["https://openalex.org/I108688024"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5126416691"],"corresponding_institution_ids":["https://openalex.org/I108688024"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.51849842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.17100000381469727,"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":0.17100000381469727,"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/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.06239999830722809,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.045899998396635056,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6868000030517578},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.6165000200271606},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5199000239372253},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.47350001335144043},{"id":"https://openalex.org/keywords/computational-science-and-engineering","display_name":"Computational Science and Engineering","score":0.4343000054359436}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7695000171661377},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6868000030517578},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6165000200271606},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5199000239372253},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.47350001335144043},{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.4343000054359436},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35440000891685486},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3310000002384186},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3181999921798706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3077000081539154},{"id":"https://openalex.org/C146481406","wikidata":"https://www.wikidata.org/wiki/Q105131","display_name":"Hotspot (geology)","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C3019693144","wikidata":"https://www.wikidata.org/wiki/Q541182","display_name":"Time stepping","level":3,"score":0.26460000872612}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-026-01399-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-026-01399-4","pdf_url":null,"source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:782fd013c6bd431cb5d27115c936ca2b","is_oa":true,"landing_page_url":"https://doaj.org/article/782fd013c6bd431cb5d27115c936ca2b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 13, Iss 1 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-026-01399-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-026-01399-4","pdf_url":null,"source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2004234398","display_name":null,"funder_award_id":"ZR2020QF028","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G2421680909","display_name":null,"funder_award_id":"2023CXGC010901","funder_id":"https://openalex.org/F4320333596","funder_display_name":"Key Technology Research and Development Program of Shandong"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320333596","display_name":"Key Technology Research and Development Program of Shandong","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2290167732","https://openalex.org/W2799451036","https://openalex.org/W2806583527","https://openalex.org/W2890403672","https://openalex.org/W2966698163","https://openalex.org/W2972599895","https://openalex.org/W2976271862","https://openalex.org/W3084233918","https://openalex.org/W3108542629","https://openalex.org/W3109182714","https://openalex.org/W3151990440","https://openalex.org/W3165782304","https://openalex.org/W3177318507","https://openalex.org/W4280651666","https://openalex.org/W4322706716","https://openalex.org/W4378555434","https://openalex.org/W4380841288","https://openalex.org/W4385276803","https://openalex.org/W4404244273","https://openalex.org/W4415899684"],"related_works":[],"abstract_inverted_index":{"Precise":[0],"vessel":[1,74],"trajectory":[2,75,102,138,161],"prediction":[3,76,195],"is":[4,174],"of":[5,14,29,48,62,101,124,137,149,205],"great":[6],"importance":[7],"to":[8,57,97],"the":[9,15,27,59,68,99,106,122,133,141,147,166,180,194,203],"maritime":[10],"safety.":[11],"However,":[12],"most":[13],"existing":[16],"methods":[17],"only":[18],"utilize":[19],"Automatic":[20],"Identification":[21],"System":[22],"(AIS)":[23],"information":[24,42],"and":[25,82,104,128,160,164,179],"ignore":[26],"impact":[28,148],"marine":[30,41,83],"physical":[31,63,84,126,158],"data.":[32],"Moreover,":[33],"combining":[34],"point-based":[35],"AIS":[36],"data":[37,103,108,162],"with":[38,44,186],"coarse-resolution":[39],"gridded":[40],"comes":[43],"its":[45],"own":[46],"set":[47],"spatiotemporal":[49],"alignment":[50],"challenges.":[51],"These":[52],"issues":[53],"make":[54],"it":[55],"harder":[56],"capture":[58],"spatial":[60],"heterogeneity":[61],"factors":[64],"accurately.":[65],"To":[66],"address":[67],"above":[69],"issues,":[70],"we":[71,90,155],"propose":[72],"a":[73,92,110],"method":[77,96,173],"based":[78,131],"on":[79,109,132,140,152,176],"Transformer":[80,87,169],"architecture":[81],"data,":[85],"Distance-Modulated":[86,117],"(DM-Trans).":[88],"Firstly,":[89],"adopt":[91],"multi-dimensional":[93],"fusion":[94],"downsampling":[95],"decrease":[98],"amount":[100],"align":[105],"heterogeneous":[107],"grid":[111],"for":[112,170],"consistency.":[113],"Secondly,":[114],"our":[115],"defined":[116],"CNN":[118],"(DM-CNN)":[119],"will":[120],"modulate":[121],"weights":[123],"multi-channel":[125],"features":[127,130,159],"extract":[129],"precise":[134],"relative":[135],"position":[136],"points":[139],"grid,":[142],"which":[143],"can":[144,191],"accurately":[145],"reflect":[146],"local":[150],"environment":[151],"trajectory.":[153],"Finally,":[154],"integrate":[156],"these":[157],"together":[163],"feed":[165],"result":[167],"into":[168],"prediction.":[171],"Our":[172],"evaluated":[175],"real-world":[177],"datasets":[178],"extensive":[181],"experiments":[182,200],"show":[183],"that":[184],"compared":[185],"some":[187],"baseline":[188],"models,":[189],"DM-Trans":[190],"significantly":[192],"improve":[193],"accuracy.":[196],"The":[197],"further":[198],"ablation":[199],"also":[201],"validate":[202],"effectiveness":[204],"different":[206],"parts.":[207]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2026-03-17T00:00:00"}