{"id":"https://openalex.org/W4408280909","doi":"https://doi.org/10.1109/tits.2025.3546284","title":"TRACER: Transfer Knowledge-Based Collaborative Vehicle Trajectory Prediction for Highway Traffic Toward Cross-Region Adaptivity","display_name":"TRACER: Transfer Knowledge-Based Collaborative Vehicle Trajectory Prediction for Highway Traffic Toward Cross-Region Adaptivity","publication_year":2025,"publication_date":"2025-03-10","ids":{"openalex":"https://openalex.org/W4408280909","doi":"https://doi.org/10.1109/tits.2025.3546284"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3546284","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3546284","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062569234","display_name":"Hui Qian","orcid":"https://orcid.org/0009-0007-1691-0366"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Qian","raw_affiliation_strings":["School of Computer Science, Shenyang Aerospace University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111951753","display_name":"Xin Shi","orcid":"https://orcid.org/0000-0003-2477-5217"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Shi","raw_affiliation_strings":["Kingsemi Company, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Kingsemi Company, Shenyang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089032960","display_name":"Ammar Hawbani","orcid":"https://orcid.org/0000-0002-1069-3993"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ammar Hawbani","raw_affiliation_strings":["School of Computer Science, Shenyang Aerospace University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085493660","display_name":"Yuanguo Bi","orcid":"https://orcid.org/0000-0002-8424-8542"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanguo Bi","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603421","display_name":"Zhi Liu","orcid":"https://orcid.org/0000-0003-0537-4522"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhi Liu","raw_affiliation_strings":["Department of Computer and Network Engineering, The University of Electro-Communications, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Network Engineering, The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024357714","display_name":"Ammar Muthanna","orcid":"https://orcid.org/0000-0003-0213-8145"},"institutions":[{"id":"https://openalex.org/I126527374","display_name":"Peoples' Friendship University of Russia","ror":"https://ror.org/02dn9h927","country_code":"RU","type":"education","lineage":["https://openalex.org/I126527374"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ammar Muthanna","raw_affiliation_strings":["Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University), Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University), Moscow, Russia","institution_ids":["https://openalex.org/I126527374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061568038","display_name":"Liang Zhao","orcid":"https://orcid.org/0000-0001-5829-6850"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Zhao","raw_affiliation_strings":["School of Computer Science, Shenyang Aerospace University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5062569234"],"corresponding_institution_ids":["https://openalex.org/I125904092"],"apc_list":null,"apc_paid":null,"fwci":6.1398,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.95992108,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"26","issue":"7","first_page":"10747","last_page":"10763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10524","display_name":"Traffic control and management","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12095","display_name":"Vehicle emissions and performance","score":0.9815000295639038,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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":0.7475875020027161},{"id":"https://openalex.org/keywords/tracer","display_name":"TRACER","score":0.5933648943901062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5046447515487671},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4787944257259369},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3495303690433502},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.33829784393310547},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1455877125263214}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7475875020027161},{"id":"https://openalex.org/C2778863792","wikidata":"https://www.wikidata.org/wiki/Q16909918","display_name":"TRACER","level":2,"score":0.5933648943901062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5046447515487671},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4787944257259369},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3495303690433502},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.33829784393310547},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1455877125263214},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C185544564","wikidata":"https://www.wikidata.org/wiki/Q81197","display_name":"Nuclear physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3546284","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3546284","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G330008365","display_name":null,"funder_award_id":"62372310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5046278416","display_name":null,"funder_award_id":"XLYC2203151","funder_id":"https://openalex.org/F4320329895","funder_display_name":"Liaoning Revitalization Talents Program"},{"id":"https://openalex.org/G8527238969","display_name":null,"funder_award_id":"W2421018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329895","display_name":"Liaoning Revitalization Talents Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2424778531","https://openalex.org/W2896642734","https://openalex.org/W2904170036","https://openalex.org/W2963001155","https://openalex.org/W2963906196","https://openalex.org/W2989851631","https://openalex.org/W3016826426","https://openalex.org/W3034756453","https://openalex.org/W3132718927","https://openalex.org/W3204610735","https://openalex.org/W3209373652","https://openalex.org/W4206153319","https://openalex.org/W4226239849","https://openalex.org/W4285307478","https://openalex.org/W4286285572","https://openalex.org/W4294311132","https://openalex.org/W4306831165","https://openalex.org/W4312265233","https://openalex.org/W4327808993","https://openalex.org/W4360597048","https://openalex.org/W4366149097","https://openalex.org/W4367016332","https://openalex.org/W4378714768","https://openalex.org/W4385657669","https://openalex.org/W4386038523","https://openalex.org/W4387145975","https://openalex.org/W4389934289","https://openalex.org/W4390576863","https://openalex.org/W4390583143","https://openalex.org/W4392152447","https://openalex.org/W4392697206","https://openalex.org/W4394699198","https://openalex.org/W4396782842","https://openalex.org/W4398157455","https://openalex.org/W4402816840","https://openalex.org/W6779499599","https://openalex.org/W6802603240","https://openalex.org/W6873110998"],"related_works":["https://openalex.org/W2001254114","https://openalex.org/W2045362891","https://openalex.org/W1987137663","https://openalex.org/W2018752697","https://openalex.org/W2054546918","https://openalex.org/W1966069390","https://openalex.org/W1998782558","https://openalex.org/W2051888912","https://openalex.org/W2090152913","https://openalex.org/W1970746087"],"abstract_inverted_index":{"Vehicle":[0],"trajectory":[1,37,91,126,176,228,246],"prediction,":[2],"as":[3,59],"a":[4,51,63,85,125,139,164,200],"key":[5],"enabler":[6],"of":[7,28,44,62,114,141,199,203,240,253,262],"the":[8,24,42,81,160,174,197,207,211,238,251,259],"intelligent":[9],"transportation":[10],"system,":[11],"has":[12],"attracted":[13],"considerable":[14],"attention":[15],"from":[16,206],"academia":[17],"and":[18,26,79,100,124,163,210,249],"industry":[19],"in":[20,41,118,183,245,268],"recent":[21],"years.":[22],"However,":[23],"variability":[25],"dynamism":[27],"traffic":[29,56,73,102,110],"conditions":[30],"pose":[31],"significant":[32],"challenges":[33,244],"to":[34,68,97,180,257],"current":[35],"vehicle":[36,90,145,263],"prediction":[38,92,184,229,247,260],"methods,":[39],"particularly":[40],"form":[43],"domain":[45,193,223,242,254],"bias.":[46],"Domain":[47],"bias":[48],"occurs":[49],"when":[50,66],"model":[52,150,213],"trained":[53,190],"on":[54,130,191],"one":[55,60],"domain,":[57,209],"such":[58],"segment":[61,70],"highway,":[64],"underperforms":[65],"applied":[67,155],"another":[69],"with":[71,104],"different":[72,266],"patterns.":[74],"To":[75,148],"address":[76],"this":[77],"challenge":[78],"advance":[80],"field,":[82],"we":[83],"propose":[84],"new":[86],"transfer":[87,198],"learning-based":[88],"collaborative":[89],"framework":[93,116,187],"called":[94],"TRACER,":[95],"designed":[96],"provide":[98],"reliable":[99],"accurate":[101],"predictions":[103],"high":[105,233],"adaptability":[106],"for":[107,144],"cross-domain":[108],"highway":[109,269],"scenarios.":[111,270],"The":[112,235],"core":[113],"our":[115],"lies":[117],"an":[119],"adaptive":[120],"interactive":[121],"extraction":[122,169],"module":[123,128,170],"generation":[127,177],"based":[129],"Bidirectional":[131],"Long":[132],"Short-Term":[133],"Memory":[134],"(BiLSTM),":[135],"further":[136,215],"strengthened":[137],"by":[138,156,196],"pre-task":[140],"intention":[142,168],"recognition":[143],"operation":[146],"types.":[147],"improve":[149,258],"robustness,":[151],"consistency":[152],"regularization":[153],"is":[154,171,188,214],"injecting":[157],"disturbances":[158],"into":[159,173],"target":[161,208],"data,":[162,194],"one-dimensional":[165],"Convolution":[166],"(Conv1D)-based":[167],"integrated":[172],"BiLSTM-based":[175],"process,":[178],"leading":[179],"notable":[181],"improvements":[182],"accuracy.":[185],"Our":[186],"first":[189],"source":[192],"followed":[195],"small":[201],"amount":[202],"labeled":[204],"data":[205],"overall":[212],"refined":[216],"using":[217],"unlabeled":[218],"data.":[219],"By":[220],"effectively":[221],"mitigating":[222],"bias,":[224],"TRACER":[225],"significantly":[226],"enhances":[227],"accuracy":[230,261],"while":[231],"maintaining":[232],"adaptability.":[234],"results":[236],"underscore":[237],"importance":[239],"addressing":[241],"shift":[243],"tasks":[248],"demonstrate":[250],"potential":[252],"adaptation":[255],"techniques":[256],"trajectories":[264],"across":[265],"domains":[267]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}