{"id":"https://openalex.org/W7164937973","doi":"https://doi.org/10.48550/arxiv.2606.15240","title":"EnvShip-Bench: An Environment-Enhanced Benchmark for Short-Term Vessel Trajectory Prediction","display_name":"EnvShip-Bench: An Environment-Enhanced Benchmark for Short-Term Vessel Trajectory Prediction","publication_year":2026,"publication_date":"2026-06-13","ids":{"openalex":"https://openalex.org/W7164937973","doi":"https://doi.org/10.48550/arxiv.2606.15240"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.15240","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.15240","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.15240","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138730840","display_name":"Kun Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Kun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012682887","display_name":"Qilong Han","orcid":"https://orcid.org/0000-0002-5185-8387"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Qilong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078527459","display_name":"Chengjing Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Chengjing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103027658","display_name":"Jingzheng Yao","orcid":"https://orcid.org/0000-0002-9582-2028"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao, Jingzheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138709092","display_name":"Hao Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103489382","display_name":"C E Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Changmao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":0.9670000076293945,"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":0.9670000076293945,"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/T12126","display_name":"Maritime Transport Emissions and Efficiency","score":0.009800000116229057,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13854","display_name":"Historical Geography and Cartography","score":0.001500000013038516,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8324000239372253},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7833999991416931},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6437000036239624},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5264999866485596},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.45840001106262207},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.3700000047683716},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.31709998846054077}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8324000239372253},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7833999991416931},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6437000036239624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5720999836921692},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5264999866485596},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.45840001106262207},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39820000529289246},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3700000047683716},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3176000118255615},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.31369999051094055},{"id":"https://openalex.org/C146997752","wikidata":"https://www.wikidata.org/wiki/Q787197","display_name":"Automatic Identification System","level":2,"score":0.30660000443458557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30410000681877136},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.29580000042915344},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.2694000005722046},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.26759999990463257},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.26330000162124634}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.15240","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.15240","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.15240","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.15240","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.6195893883705139}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Vessel":[0],"trajectory":[1,56,156],"prediction":[2,57],"is":[3],"important":[4],"for":[5,53,111,154],"intelligent":[6],"shipping,":[7],"maritime":[8,16,155],"surveillance,":[9],"and":[10,29,40,70,92,113,120,131,142,151],"navigation":[11],"safety.":[12],"However,":[13],"existing":[14],"public":[15],"AIS":[17,62],"resources":[18],"are":[19],"often":[20],"limited":[21],"by":[22],"inconsistent":[23],"forecasting":[24,81,133,157],"protocols,":[25],"uneven":[26],"data":[27,63],"quality,":[28],"the":[30,65,101],"lack":[31],"of":[32,86,90],"benchmark-ready":[33],"contextual":[34],"annotations,":[35],"which":[36],"hinder":[37],"fair":[38],"comparison":[39],"context-aware":[41,152],"modeling.":[42],"To":[43],"address":[44],"this":[45],"gap,":[46],"we":[47],"present":[48],"EnvShip-Bench,":[49],"a":[50,73,79,107,125,135,148],"unified":[51,136],"benchmark":[52,140],"short-term":[54],"vessel":[55],"built":[58],"from":[59,64],"large-scale":[60,102],"raw":[61],"Danish":[66],"Maritime":[67],"Authority":[68],"(DMA)":[69],"NOAA":[71],"through":[72],"common":[74],"processing":[75],"pipeline.":[76],"EnvShip-Bench":[77,127,146],"adopts":[78],"standardized":[80],"protocol":[82],"with":[83,117],"10":[84,88],"minutes":[85,89],"observation,":[87],"prediction,":[91],"20-second":[93],"sampling":[94],"in":[95],"vessel-centric":[96],"local":[97],"metric":[98],"coordinates.":[99],"Beyond":[100],"core":[103],"benchmark,":[104],"it":[105],"provides":[106],"quality-first":[108],"compact":[109],"subset":[110],"efficient":[112],"reproducible":[114],"experimentation,":[115],"together":[116],"synchronized":[118],"environmental":[119],"nearby-vessel":[121],"context":[122],"extensions.":[123],"As":[124],"result,":[126],"supports":[128],"trajectory-only,":[129],"environment-aware,":[130],"interaction-aware":[132],"under":[134],"evaluation":[137],"framework.":[138],"Extensive":[139],"statistics":[141],"analysis":[143],"demonstrate":[144],"that":[145],"offers":[147],"standardized,":[149],"extensible,":[150],"foundation":[153],"research.":[158]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-17T00:00:00"}