{"id":"https://openalex.org/W4414230460","doi":"https://doi.org/10.1109/tvt.2025.3610508","title":"DSTIFormer: Vehicle Trajectory Prediction Considering Dynamic Spatial-Temporal Interaction-Aware With Transformer Network","display_name":"DSTIFormer: Vehicle Trajectory Prediction Considering Dynamic Spatial-Temporal Interaction-Aware With Transformer Network","publication_year":2025,"publication_date":"2025-09-16","ids":{"openalex":"https://openalex.org/W4414230460","doi":"https://doi.org/10.1109/tvt.2025.3610508"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2025.3610508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3610508","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5115007310","display_name":"Adnan A. Qaseem","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Adnan A. Qaseem","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9882-6297","affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007629182","display_name":"Lei Ao","orcid":"https://orcid.org/0000-0002-4526-2106"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Ao","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4526-2106","affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056601955","display_name":"Kai Sheng","orcid":"https://orcid.org/0000-0001-6602-7212"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Sheng","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6602-7212","affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016633415","display_name":"Dejene M. Sime","orcid":"https://orcid.org/0000-0002-7265-5765"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dejene M. Sime","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7265-5765","affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680313","display_name":"Qing Cai","orcid":"https://orcid.org/0000-0002-4954-3124"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Cai","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103165266","display_name":"Jianzhao Li","orcid":"https://orcid.org/0000-0002-1524-1363"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzhao Li","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1524-1363","affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044342613","display_name":"Xiaojiang Ren","orcid":"https://orcid.org/0000-0003-0495-324X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojiang Ren","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0495-324X","affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23627036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"75","issue":"3","first_page":"3725","last_page":"3739"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9983999729156494,"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":0.9983999729156494,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9969000220298767,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9569000005722046,"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/embedding","display_name":"Embedding","score":0.6913999915122986},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6779000163078308},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6679999828338623},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6468999981880188},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5325000286102295},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4675000011920929},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.37619999051094055},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.33970001339912415}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6913999915122986},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6779000163078308},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6679999828338623},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6468999981880188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5516999959945679},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5325000286102295},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4675000011920929},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.37619999051094055},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3488999903202057},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.33970001339912415},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.33809998631477356},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.32829999923706055},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3172000050544739},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C133770746","wikidata":"https://www.wikidata.org/wiki/Q856535","display_name":"Current transformer","level":4,"score":0.29409998655319214},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27950000762939453},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25450000166893005},{"id":"https://openalex.org/C125884559","wikidata":"https://www.wikidata.org/wiki/Q369791","display_name":"Linear variable differential transformer","level":5,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2025.3610508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3610508","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2015368813","https://openalex.org/W2064675550","https://openalex.org/W2145457662","https://openalex.org/W2206835661","https://openalex.org/W2530386080","https://openalex.org/W2803184913","https://openalex.org/W2896642734","https://openalex.org/W2963001155","https://openalex.org/W2963309363","https://openalex.org/W2963906196","https://openalex.org/W2964193755","https://openalex.org/W2971323980","https://openalex.org/W2989851631","https://openalex.org/W3013376041","https://openalex.org/W3016826426","https://openalex.org/W3023028824","https://openalex.org/W3046603013","https://openalex.org/W3160582233","https://openalex.org/W3162665729","https://openalex.org/W3169575318","https://openalex.org/W3202283237","https://openalex.org/W3207981904","https://openalex.org/W4226239849","https://openalex.org/W4285307478","https://openalex.org/W4294311132","https://openalex.org/W4381332009","https://openalex.org/W4385245566","https://openalex.org/W4385517014","https://openalex.org/W4386270566","https://openalex.org/W4389542885","https://openalex.org/W4390576863","https://openalex.org/W4398223791","https://openalex.org/W4405915581"],"related_works":[],"abstract_inverted_index":{"Current":[0],"vehicle":[1,38],"trajectory":[2,39,70,81,121],"prediction":[3,24,153],"methods":[4,182],"often":[5],"fail":[6],"to":[7,22,28,78,111,141],"capture":[8,112],"the":[9,43,55,113,125,134,144,149,156,172],"complex":[10],"spatial":[11,89,106],"and":[12,68,91,136,169,171],"temporal":[13,92,99],"interactions":[14,82,116],"among":[15],"surrounding":[16],"vehicles":[17],"in":[18,148,183],"dynamic":[19,114],"environments,":[20],"leading":[21],"suboptimal":[23],"accuracy.":[25],"In":[26],"response":[27],"these":[29],"challenges,":[30],"we":[31],"propose":[32],"a":[33,59,63,69,98,105,129],"novel":[34],"Transformer-based":[35],"model":[36,178],"for":[37],"prediction,":[40],"denoted":[41],"as":[42,133],"Dynamic":[44],"Spatial-Temporal":[45],"Interaction-aware":[46],"Transformer":[47],"Network":[48],"(DSTIFormer).":[49],"The":[50,73,94,151],"three":[51],"main":[52],"parts":[53],"of":[54],"DSTIFormer":[56],"architecture":[57,132],"are":[58],"spatial-temporal":[60,64,74,115],"embedding":[61,75],"module,":[62,67],"dynamics":[65],"interaction-aware":[66],"encoderdecoder":[71],"module.":[72],"module":[76,96,127],"aims":[77],"encode":[79],"vehicular":[80],"into":[83],"latent":[84],"representations":[85],"that":[86,175],"simultaneously":[87],"preserve":[88],"dependencies":[90,147],"features.":[93],"second":[95],"utilizes":[97],"transformer":[100,108],"network":[101,109],"(TTN)":[102],"along":[103],"with":[104,155],"graph":[107],"(STN)":[110],"between":[117],"vehicles.":[118],"To":[119],"make":[120],"predictions":[122],"more":[123],"accurate,":[124],"third":[126],"uses":[128],"sequence-to-sequence":[130],"(Seq2Seq)":[131],"encoder":[135],"an":[137],"attention-based":[138],"decoder":[139],"layer":[140],"effectively":[142],"extract":[143],"long-range":[145],"sequential":[146],"process.":[150],"model's":[152],"accuracy":[154],"root":[157],"mean":[158],"squared":[159],"error":[160],"(RMSE)":[161],"metric":[162],"on":[163],"two":[164],"publicly":[165],"available":[166],"datasets:":[167],"NGSIM":[168],"HighD,":[170],"results":[173],"demonstrate":[174],"our":[176],"proposed":[177],"outperforms":[179],"several":[180],"benchmark":[181],"long-term":[184],"prediction.":[185]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
