{"id":"https://openalex.org/W4413212938","doi":"https://doi.org/10.1109/tits.2025.3595743","title":"Trajectory Prediction for Multiple Agents in Dynamic Environments: Factoring in Traffic States and Driving Styles","display_name":"Trajectory Prediction for Multiple Agents in Dynamic Environments: Factoring in Traffic States and Driving Styles","publication_year":2025,"publication_date":"2025-08-11","ids":{"openalex":"https://openalex.org/W4413212938","doi":"https://doi.org/10.1109/tits.2025.3595743"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3595743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3595743","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/A5100759138","display_name":"Jiayu Yang","orcid":"https://orcid.org/0000-0002-1457-1803"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiayu Yang","raw_affiliation_strings":["School of Traffic and Transportation Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350945","display_name":"Jaeyoung Lee","orcid":"https://orcid.org/0000-0003-1211-688X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jaeyoung Jay Lee","raw_affiliation_strings":["School of Traffic and Transportation Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001459918","display_name":"Constantinos Antoniou","orcid":"https://orcid.org/0000-0003-0203-9542"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Constantinos Antoniou","raw_affiliation_strings":["Chair of Transportation Systems Engineering, Technical University of Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Transportation Systems Engineering, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100759138"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":0.6839,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73142725,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"26","issue":"11","first_page":"19281","last_page":"19295"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.977400004863739,"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":0.977400004863739,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9768999814987183,"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":0.9495999813079834,"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/factoring","display_name":"Factoring","score":0.8143389225006104},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6611060500144958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.506676971912384},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.430705189704895},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.33629530668258667},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.30366164445877075},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.16268184781074524},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.107066810131073},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09444299340248108}],"concepts":[{"id":"https://openalex.org/C177225278","wikidata":"https://www.wikidata.org/wiki/Q192674","display_name":"Factoring","level":2,"score":0.8143389225006104},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6611060500144958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.506676971912384},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.430705189704895},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.33629530668258667},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.30366164445877075},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.16268184781074524},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.107066810131073},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09444299340248108},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3595743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3595743","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/G5585093336","display_name":null,"funder_award_id":"202406370254","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G6766859872","display_name":null,"funder_award_id":"72471249","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8740174959","display_name":null,"funder_award_id":"1053320231711","funder_id":"https://openalex.org/F4320335880","funder_display_name":"Fundamental Research Funds for Central Universities of the Central South University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320335880","display_name":"Fundamental Research Funds for Central Universities of the Central South University","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1988195734","https://openalex.org/W2982542676","https://openalex.org/W2990973279","https://openalex.org/W2996287921","https://openalex.org/W3034722190","https://openalex.org/W3096882650","https://openalex.org/W3136119534","https://openalex.org/W3139491754","https://openalex.org/W3166401044","https://openalex.org/W3204875639","https://openalex.org/W3208352889","https://openalex.org/W3209837334","https://openalex.org/W3209892694","https://openalex.org/W3215265653","https://openalex.org/W4206209964","https://openalex.org/W4226239849","https://openalex.org/W4285611940","https://openalex.org/W4288045141","https://openalex.org/W4292492380","https://openalex.org/W4306784456","https://openalex.org/W4310076561","https://openalex.org/W4312305613","https://openalex.org/W4321768681","https://openalex.org/W4327808993","https://openalex.org/W4386634641","https://openalex.org/W4390604996","https://openalex.org/W4391521975","https://openalex.org/W4391589179","https://openalex.org/W4391589384","https://openalex.org/W4395063640","https://openalex.org/W4399073792","https://openalex.org/W4400649809","https://openalex.org/W4406353921","https://openalex.org/W4407192098","https://openalex.org/W4408258652","https://openalex.org/W4408858368","https://openalex.org/W4409019014","https://openalex.org/W4409474588"],"related_works":["https://openalex.org/W2377710379","https://openalex.org/W2947911821","https://openalex.org/W2393473966","https://openalex.org/W2260256814","https://openalex.org/W2944757884","https://openalex.org/W2997214518","https://openalex.org/W2145006118","https://openalex.org/W3175944335","https://openalex.org/W2062829680","https://openalex.org/W2516638161"],"abstract_inverted_index":{"Predicting":[0],"the":[1,38,90,144],"trajectories":[2],"of":[3,41,161],"multiple":[4,151],"agents":[5],"in":[6,64,166,212],"dynamic":[7],"driving":[8,46,74,133,180,195],"scenarios":[9],"such":[10],"as":[11,139],"intersections":[12],"and":[13,24,44,87,110,124,128,135,154,163,169,183,197,214],"roundabouts":[14],"remains":[15],"challenging":[16],"due":[17,156],"to":[18,61,72,157],"dense":[19],"agent":[20],"interactions,":[21],"varying":[22],"speeds,":[23],"complex":[25,65],"environmental":[26],"constraints.":[27],"While":[28],"previous":[29],"studies":[30],"have":[31],"proposed":[32,71,172],"interaction-aware":[33],"models,":[34,92],"they":[35],"often":[36],"neglect":[37],"combined":[39],"effects":[40],"traffic":[42,136,198],"states":[43,103],"individual":[45],"behaviors.":[47],"This":[48],"study":[49],"presents":[50],"a":[51,98],"personalized":[52,194],"motion":[53],"prediction":[54,91,118,152],"framework":[55,173],"based":[56],"on":[57,176],"Vehicle-to-Vehicle":[58],"(V2V)":[59],"communication":[60],"support":[62,211],"decision-making":[63],"environments.":[66],"An":[67],"unsupervised":[68],"method":[69],"is":[70,174],"recognize":[73],"styles":[75,196],"by":[76],"analyzing":[77],"features":[78,165],"derived":[79],"from":[80],"V2V":[81],"communication,":[82],"which":[83],"are":[84,104,126],"then":[85],"encoded":[86],"incorporated":[88],"into":[89],"with":[93],"feature":[94],"importance":[95],"analyzed":[96],"via":[97],"random":[99],"forest":[100],"algorithm.":[101],"Traffic":[102],"modeled":[105],"using":[106],"relative":[107],"spatial":[108],"relationships":[109],"captured":[111],"through":[112],"spatiotemporal":[113],"encoding.":[114],"To":[115],"explore":[116],"different":[117],"paradigms,":[119],"three":[120],"architectures,":[121],"GAN-based,":[122],"CVAE-based,":[123],"Transformer-based,":[125],"designed":[127],"comparatively":[129],"evaluated,":[130],"each":[131],"incorporating":[132,193],"style":[134],"state":[137],"information":[138],"categorical":[140],"encodings.":[141],"Among":[142],"these,":[143],"Transformer-based":[145],"model":[146],"demonstrates":[147],"superior":[148],"performance":[149],"across":[150],"horizons":[153],"metrics":[155],"its":[158],"effective":[159],"integration":[160],"behavioral":[162],"contextual":[164],"both":[167],"encoder":[168],"decoder.":[170],"The":[171],"evaluated":[175],"two":[177],"public":[178],"interactive":[179],"datasets,":[181],"rounD":[182],"INTERACTION,":[184],"where":[185],"it":[186,205],"achieves":[187],"state-of-the-art":[188],"accuracy.":[189],"Results":[190],"show":[191],"that":[192],"context":[199],"significantly":[200],"enhances":[201],"trajectory":[202],"prediction,":[203],"making":[204],"more":[206],"suitable":[207],"for":[208],"real-time":[209],"decision":[210],"connected":[213],"autonomous":[215],"vehicles.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
