{"id":"https://openalex.org/W4416381257","doi":"https://doi.org/10.1109/tase.2025.3631440","title":"Intention Coupling Mamba-Driven Differential Transformer Model for Vehicle Trajectory Prediction","display_name":"Intention Coupling Mamba-Driven Differential Transformer Model for Vehicle Trajectory Prediction","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416381257","doi":"https://doi.org/10.1109/tase.2025.3631440"},"language":null,"primary_location":{"id":"doi:10.1109/tase.2025.3631440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3631440","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","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/A5013684724","display_name":"Xunhao Li","orcid":"https://orcid.org/0000-0002-3748-805X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xunhao Li","raw_affiliation_strings":["Department of Intelligent Transportation and Spatial Informatics, Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Transportation and Spatial Informatics, Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055135829","display_name":"Yu Qian","orcid":"https://orcid.org/0009-0002-8013-4959"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Qian","raw_affiliation_strings":["Department of Intelligent Transportation and Spatial Informatics, Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Transportation and Spatial Informatics, Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100410024","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0002-9086-7622"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["School of Transportation, Southeast University, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation, Southeast University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102654239","display_name":"Xuejian Yao","orcid":"https://orcid.org/0009-0008-8884-4043"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejian Yao","raw_affiliation_strings":["Department of Intelligent Transportation and Spatial Informatics, Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Transportation and Spatial Informatics, Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100764159","display_name":"Yongfu Li","orcid":"https://orcid.org/0000-0002-7701-8351"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongfu Li","raw_affiliation_strings":["Key Laboratory of Intelligent Air-Ground Cooperative Control for Universities in Chongqing, College of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Air-Ground Cooperative Control for Universities in Chongqing, College of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5013684724"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37261627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"23970","last_page":"23983"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9733999967575073,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9733999967575073,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.0031999999191612005,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.0017999999690800905,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.6172999739646912},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6025999784469604},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5931000113487244},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5846999883651733},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4706999957561493},{"id":"https://openalex.org/keywords/coupling","display_name":"Coupling (piping)","score":0.4124999940395355},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.3801000118255615}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6281999945640564},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.6172999739646912},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6025999784469604},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5931000113487244},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5846999883651733},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4706999957561493},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.4124999940395355},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.3801000118255615},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.35519999265670776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3479999899864197},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33570000529289246},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3005000054836273},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.28769999742507935},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C78045399","wikidata":"https://www.wikidata.org/wiki/Q11214","display_name":"Differential equation","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2540000081062317},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2025.3631440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3631440","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1698698606","display_name":null,"funder_award_id":"U2333204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4329780330","display_name":null,"funder_award_id":"cstc2024ycjh-bgzxm0037","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G5527906347","display_name":null,"funder_award_id":"2023Y06","funder_id":"https://openalex.org/F4320317779","funder_display_name":"Zhejiang\u00a0Provincial\u00a0Postdoctoral\u00a0Science\u00a0Foundation"},{"id":"https://openalex.org/G6827489612","display_name":null,"funder_award_id":"2021YFB1600500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320317779","display_name":"Zhejiang\u00a0Provincial\u00a0Postdoctoral\u00a0Science\u00a0Foundation","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W2424778531","https://openalex.org/W2896642734","https://openalex.org/W2955189650","https://openalex.org/W2963001155","https://openalex.org/W2963906196","https://openalex.org/W3013376041","https://openalex.org/W3016826426","https://openalex.org/W3035574168","https://openalex.org/W3114563362","https://openalex.org/W3139491754","https://openalex.org/W3169292842","https://openalex.org/W3177765762","https://openalex.org/W3199132857","https://openalex.org/W3205539057","https://openalex.org/W4226284273","https://openalex.org/W4250482878","https://openalex.org/W4285307478","https://openalex.org/W4285740942","https://openalex.org/W4286285572","https://openalex.org/W4292492380","https://openalex.org/W4313887509","https://openalex.org/W4316660993","https://openalex.org/W4323338412","https://openalex.org/W4366351460","https://openalex.org/W4379116730","https://openalex.org/W4382239854","https://openalex.org/W4387319247","https://openalex.org/W4388543829","https://openalex.org/W4389542885","https://openalex.org/W4389891321","https://openalex.org/W4389934289","https://openalex.org/W4389987536","https://openalex.org/W4390037774","https://openalex.org/W4390187132","https://openalex.org/W4391248580","https://openalex.org/W4391759873","https://openalex.org/W4392543778","https://openalex.org/W4392908296","https://openalex.org/W4393032899","https://openalex.org/W4393153766","https://openalex.org/W4394782240","https://openalex.org/W4398775538","https://openalex.org/W4399073792","https://openalex.org/W4401417379","https://openalex.org/W4402236355","https://openalex.org/W4402716194","https://openalex.org/W4402728028","https://openalex.org/W4402915945","https://openalex.org/W4402951640","https://openalex.org/W4403021814","https://openalex.org/W4403842425","https://openalex.org/W4403936626","https://openalex.org/W4404371514","https://openalex.org/W4406353921","https://openalex.org/W4407196832","https://openalex.org/W4407360637","https://openalex.org/W4408100260","https://openalex.org/W4408280909","https://openalex.org/W4408912826","https://openalex.org/W4409473923","https://openalex.org/W4413017534","https://openalex.org/W4415795959","https://openalex.org/W7084762439"],"related_works":[],"abstract_inverted_index":{"The":[0],"difficulty":[1],"of":[2,78,146,178,190],"vehicle":[3,191],"trajectory":[4,129,192],"prediction":[5,152,176,181,193],"mainly":[6],"lies":[7],"in":[8,71,150],"the":[9,21,26,59,69,76,157,169,175,187],"shared":[10],"spatial-temporal":[11,22,72,86,114],"relationships":[12],"among":[13],"vehicles.":[14],"To":[15],"address":[16],"this":[17],"task":[18],"effectively,":[19],"extracting":[20],"details":[23],"that":[24,168],"affect":[25],"inter-vehicle":[27],"motion,":[28],"such":[29],"as":[30],"motion":[31,111],"intentions":[32,112],"and":[33,81,98,120],"interactions,":[34],"is":[35,107,161],"crucial.":[36],"This":[37,124],"paper":[38],"proposes":[39],"a":[40],"Mamba-driven":[41],"differential":[42,79],"Transformer":[43,52,80],"model":[44],"with":[45,113],"an":[46,103],"intention":[47,104,121,170],"coupling":[48,105,171],"decoder":[49,106,125,172],"(ICMDT).":[50],"Differential":[51],"determines":[53],"final":[54],"attention":[55,65],"scores":[56],"by":[57],"calculating":[58],"difference":[60],"between":[61,118],"two":[62],"independent":[63],"softmax":[64],"maps,":[66],"effectively":[67],"suppressing":[68],"noise":[70],"features.":[73],"ICMDT":[74,131],"integrates":[75],"strengths":[77],"Mamba,":[82],"concentrating":[83],"on":[84],"encoding":[85],"features":[87,119],"while":[88],"eliminating":[89],"redundant":[90],"information.":[91],"It":[92],"also":[93],"enhances":[94,174],"global":[95],"information":[96],"aggregation":[97],"spatial":[99],"interaction":[100],"modeling.":[101],"Additionally,":[102],"proposed":[108],"to":[109,148],"align":[110],"features,":[115],"achieving":[116],"connections":[117],"query":[122],"instances.":[123],"facilitates":[126],"accurate":[127],"multi-modal":[128],"predictions.":[130],"has":[132],"demonstrated":[133],"superior":[134],"performance":[135],"across":[136],"four":[137],"real-world":[138],"datasets,":[139],"surpassing":[140],"multiple":[141],"metrics.":[142],"For":[143],"instance,":[144],"improvements":[145],"45.92%":[147],"57.89%":[149],"long-term":[151],"(3\u223c5s)":[153],"are":[154],"achieved":[155],"using":[156],"RMSE":[158],"metric,":[159],"which":[160],"quite":[162],"promising.":[163],"Notably,":[164],"our":[165],"experiments":[166],"reveal":[167],"consistently":[173],"accuracy":[177],"several":[179],"leading":[180],"models,":[182],"providing":[183],"new":[184],"insights":[185],"for":[186],"future":[188],"development":[189],"algorithms.":[194]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-11T00:00:00"}