{"id":"https://openalex.org/W4285212922","doi":"https://doi.org/10.1109/tits.2022.3173944","title":"Vehicle Trajectory Prediction in Connected Environments via Heterogeneous Context-Aware Graph Convolutional Networks","display_name":"Vehicle Trajectory Prediction in Connected Environments via Heterogeneous Context-Aware Graph Convolutional Networks","publication_year":2022,"publication_date":"2022-05-24","ids":{"openalex":"https://openalex.org/W4285212922","doi":"https://doi.org/10.1109/tits.2022.3173944"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3173944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3173944","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/A5042609135","display_name":"Yuhuan Lu","orcid":"https://orcid.org/0000-0001-5332-3389"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhuan Lu","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5332-3389","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391896","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-1717-5785"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1717-5785","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007941489","display_name":"Xiping Hu","orcid":"https://orcid.org/0000-0002-4952-699X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiping Hu","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021146920","display_name":"Pengpeng Xu","orcid":"https://orcid.org/0000-0001-9826-4212"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengpeng Xu","raw_affiliation_strings":["School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040401683","display_name":"Shengwei Zhou","orcid":"https://orcid.org/0000-0001-9739-1308"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Shengwei Zhou","raw_affiliation_strings":["Department of Computer and Information Science, State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0001-9739-1308","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028375271","display_name":"Ming Cai","orcid":"https://orcid.org/0000-0002-9270-5272"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Cai","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9270-5272","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.9589,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.94988923,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"24","issue":"8","first_page":"8452","last_page":"8464"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9980000257492065,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7866402864456177},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6664766073226929},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5941585302352905},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5902681946754456},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5773264169692993},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5421761274337769},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4914783239364624},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4170171320438385},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3366129398345947},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32389846444129944},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18907397985458374},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0794125497341156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7866402864456177},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6664766073226929},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5941585302352905},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5902681946754456},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5773264169692993},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5421761274337769},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4914783239364624},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4170171320438385},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3366129398345947},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32389846444129944},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18907397985458374},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0794125497341156},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2022.3173944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3173944","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":[{"id":"https://metadata.un.org/sdg/15","score":0.41999998688697815,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G3465469816","display_name":null,"funder_award_id":"2020YFB1600400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8526955030","display_name":null,"funder_award_id":"52102400","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/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":78,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W637153065","https://openalex.org/W1485009520","https://openalex.org/W1498436455","https://openalex.org/W1665214252","https://openalex.org/W1678356000","https://openalex.org/W1989793585","https://openalex.org/W2007718857","https://openalex.org/W2024558842","https://openalex.org/W2048093873","https://openalex.org/W2194775991","https://openalex.org/W2206428743","https://openalex.org/W2343781317","https://openalex.org/W2517194566","https://openalex.org/W2729190387","https://openalex.org/W2774231091","https://openalex.org/W2802697544","https://openalex.org/W2907492528","https://openalex.org/W2940129212","https://openalex.org/W2946782700","https://openalex.org/W2955058313","https://openalex.org/W2962711740","https://openalex.org/W2963084622","https://openalex.org/W2963309363","https://openalex.org/W2963313370","https://openalex.org/W2963358464","https://openalex.org/W2963815829","https://openalex.org/W2963906196","https://openalex.org/W2964015378","https://openalex.org/W2964054038","https://openalex.org/W2964193755","https://openalex.org/W2965778995","https://openalex.org/W2980087597","https://openalex.org/W2989851631","https://openalex.org/W2996451395","https://openalex.org/W2998313947","https://openalex.org/W3006499365","https://openalex.org/W3007913393","https://openalex.org/W3010099216","https://openalex.org/W3023028824","https://openalex.org/W3034722190","https://openalex.org/W3035096461","https://openalex.org/W3037376004","https://openalex.org/W3090783937","https://openalex.org/W3103869897","https://openalex.org/W3113026013","https://openalex.org/W3125445645","https://openalex.org/W3132718927","https://openalex.org/W3170929336","https://openalex.org/W3184258555","https://openalex.org/W3184765348","https://openalex.org/W3193512724","https://openalex.org/W3194196251","https://openalex.org/W3207461654","https://openalex.org/W3216070494","https://openalex.org/W4283369455","https://openalex.org/W4288419263","https://openalex.org/W4294558607","https://openalex.org/W4295312788","https://openalex.org/W4297733535","https://openalex.org/W6620673361","https://openalex.org/W6637242042","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6746015598","https://openalex.org/W6754929296","https://openalex.org/W6760045743","https://openalex.org/W6766978945","https://openalex.org/W6768870957","https://openalex.org/W6774042139","https://openalex.org/W6784071224","https://openalex.org/W6787247081","https://openalex.org/W6790549118","https://openalex.org/W6790976107","https://openalex.org/W6796539847","https://openalex.org/W6800191217","https://openalex.org/W6805069253","https://openalex.org/W6839119880"],"related_works":["https://openalex.org/W4323768008","https://openalex.org/W1941703695","https://openalex.org/W3131574667","https://openalex.org/W4390516098","https://openalex.org/W4360995134","https://openalex.org/W4248382324","https://openalex.org/W3023605104","https://openalex.org/W2039473718","https://openalex.org/W2387529410","https://openalex.org/W2181948922"],"abstract_inverted_index":{"The":[0,27,181],"accurate":[1],"trajectory":[2,30],"prediction":[3,31,205],"of":[4,14,29,39,44,162],"surrounding":[5],"vehicles":[6,18],"is":[7,32,124,143,184],"crucial":[8],"for":[9,126],"the":[10,24,42,48,51,59,66,80,86,101,113,128,147,153,160,163,166,175,198],"sustainability":[11],"and":[12,16,58,96,156,172,207],"safety":[13],"connected":[15],"autonomous":[17],"under":[19],"mixed":[20],"traffic":[21],"streams":[22],"in":[23,204],"real":[25],"world.":[26],"task":[28],"challenging":[33],"because":[34],"there":[35],"are":[36,105,170],"all":[37],"kinds":[38],"factors":[40],"affecting":[41],"motions":[43],"vehicles,":[45],"such":[46],"as":[47,159],"individual":[49,90,114,155],"movements,":[50],"ambient":[52],"driving":[53,94,193],"environment":[54],"especially":[55],"road":[56],"conditions,":[57],"interactions":[60],"with":[61,121],"neighboring":[62],"vehicles.":[63],"To":[64],"resolve":[65],"above":[67],"issues,":[68],"this":[69],"work":[70],"proposes":[71],"a":[72,117,137],"novel":[73],"Heterogeneous":[74],"Context-Aware":[75],"Graph":[76,140],"Convolutional":[77,109,119,141],"Networks":[78,142],"following":[79],"Encoder-Decoder":[81],"architecture,":[82],"which":[83,151,190],"simultaneously":[84],"extracts":[85],"hidden":[87],"contexts":[88,158,169],"from":[89],"historical":[91,102],"trajectories,":[92],"varying":[93],"scene,":[95],"inter-vehicle":[97],"interactional":[98,149],"behaviors.":[99],"Specifically,":[100],"vehicle":[103,213],"trajectories":[104],"fed":[106,173],"into":[107,132,174],"Temporal":[108],"Network":[110,120],"to":[111,145,177],"capture":[112],"context.":[115,135],"Besides,":[116],"2-Dimensional":[118],"temporal":[122],"attention":[123],"designed":[125],"transforming":[127],"scene":[129,134,157],"image":[130],"stream":[131],"compressing":[133],"Then":[136],"Spatio-Temporal":[138],"Dynamic":[139],"devised":[144],"model":[146,183,200],"evolving":[148],"patterns,":[150],"incorporates":[152],"acquired":[154],"representation":[161],"node.":[164],"Finally,":[165],"aforementioned":[167],"three":[168],"combined":[171],"decoder":[176],"produce":[178],"future":[179],"trajectories.":[180],"proposed":[182,199],"validated":[185],"on":[186],"two":[187],"real-world":[188],"datasets":[189],"contain":[191],"various":[192],"scenarios.":[194],"Results":[195],"demonstrated":[196],"that":[197],"outperforms":[201],"state-of-the-art":[202],"methods":[203],"accuracy":[206],"achieves":[208],"immense":[209],"stability":[210],"towards":[211],"different":[212],"states.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}