{"id":"https://openalex.org/W4321608636","doi":"https://doi.org/10.1109/jiot.2023.3244182","title":"Adaptive Graph Fusion Convolutional Recurrent Network for Traffic Forecasting","display_name":"Adaptive Graph Fusion Convolutional Recurrent Network for Traffic Forecasting","publication_year":2023,"publication_date":"2023-02-23","ids":{"openalex":"https://openalex.org/W4321608636","doi":"https://doi.org/10.1109/jiot.2023.3244182"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2023.3244182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3244182","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5100378208","display_name":"Yan Xu","orcid":"https://orcid.org/0000-0002-0271-044X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Xu","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-0271-044X","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018120483","display_name":"Yu Lu","orcid":"https://orcid.org/0000-0001-8932-2433"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Lu","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-8932-2433","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022698105","display_name":"Changtao Ji","orcid":"https://orcid.org/0009-0009-5411-0161"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changtao Ji","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100739516","display_name":"Qiyuan Zhang","orcid":"https://orcid.org/0000-0001-6562-9633"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiyuan Zhang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":8.027,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.98538727,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"10","issue":"13","first_page":"11465","last_page":"11475"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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":1.0,"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":0.9957000017166138,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.81490159034729},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5978236794471741},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5500836968421936},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5249913930892944},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5122107863426208},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.44095349311828613},{"id":"https://openalex.org/keywords/advanced-traffic-management-system","display_name":"Advanced Traffic Management System","score":0.4231705069541931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34625178575515747},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.26964646577835083},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19995039701461792},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1430097222328186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.81490159034729},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5978236794471741},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5500836968421936},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5249913930892944},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5122107863426208},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.44095349311828613},{"id":"https://openalex.org/C42693407","wikidata":"https://www.wikidata.org/wiki/Q4686317","display_name":"Advanced Traffic Management System","level":3,"score":0.4231705069541931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34625178575515747},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.26964646577835083},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19995039701461792},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1430097222328186},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2023.3244182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3244182","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G4591811831","display_name":null,"funder_award_id":"202234","funder_id":"https://openalex.org/F4320317322","funder_display_name":"Transportation Science and Technology Development Plan in Tianjin Municipality of China"},{"id":"https://openalex.org/G466633179","display_name":null,"funder_award_id":"2021YFC2201902","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320317322","display_name":"Transportation Science and Technology Development Plan in Tianjin Municipality of China","ror":null},{"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":49,"referenced_works":["https://openalex.org/W1662382123","https://openalex.org/W1924770834","https://openalex.org/W1973943669","https://openalex.org/W1983883318","https://openalex.org/W2008483594","https://openalex.org/W2038622450","https://openalex.org/W2064675550","https://openalex.org/W2079662306","https://openalex.org/W2125817951","https://openalex.org/W2132711183","https://openalex.org/W2133237232","https://openalex.org/W2165991108","https://openalex.org/W2565330852","https://openalex.org/W2572939427","https://openalex.org/W2579495707","https://openalex.org/W2608412979","https://openalex.org/W2756203131","https://openalex.org/W2757185615","https://openalex.org/W2788134583","https://openalex.org/W2901504064","https://openalex.org/W2903871660","https://openalex.org/W2907492528","https://openalex.org/W2965341826","https://openalex.org/W2965806703","https://openalex.org/W2996847713","https://openalex.org/W2997848713","https://openalex.org/W3012562343","https://openalex.org/W3033535063","https://openalex.org/W3034944009","https://openalex.org/W3080253043","https://openalex.org/W3103720336","https://openalex.org/W3123191313","https://openalex.org/W3135694489","https://openalex.org/W3152893301","https://openalex.org/W3153924659","https://openalex.org/W3170140111","https://openalex.org/W3174022889","https://openalex.org/W3193007873","https://openalex.org/W3193281533","https://openalex.org/W3208915345","https://openalex.org/W4211213044","https://openalex.org/W4233713109","https://openalex.org/W4283817628","https://openalex.org/W6637178625","https://openalex.org/W6640212811","https://openalex.org/W6720006811","https://openalex.org/W6746015598","https://openalex.org/W6780221082","https://openalex.org/W6795122892"],"related_works":["https://openalex.org/W3158831960","https://openalex.org/W2521728836","https://openalex.org/W2972088616","https://openalex.org/W3094593199","https://openalex.org/W4399654348","https://openalex.org/W2008793610","https://openalex.org/W2893934742","https://openalex.org/W2077294583","https://openalex.org/W4310082270","https://openalex.org/W4315796051"],"abstract_inverted_index":{"Traffic":[0],"flow":[1,26,63,114],"prediction":[2,27,64,176,199],"is":[3,28,124,169,190],"the":[4,15,71,82,91,107,128,173,193,198],"foundation":[5],"of":[6,18,47,77,112,175,201],"urban":[7],"traffic":[8,25,33,40,62,78,113,132],"guidance":[9],"and":[10,36,50,56,73,109,117,148,151,221],"control,":[11],"as":[12,14],"well":[13],"main":[16],"function":[17],"an":[19,97,183],"intelligent":[20,86],"transportation":[21,87],"system":[22],"(ITS).":[23],"Accurate":[24],"important":[29],"for":[30,85],"road":[31],"users,":[32],"management":[34],"departments,":[35],"private":[37],"enterprises.":[38],"However,":[39],"flows":[41],"usually":[42],"show":[43],"a":[44,65,135,140],"high":[45],"degree":[46],"variability,":[48],"correlation,":[49],"complex":[51],"patterns":[52],"in":[53,178,192],"both":[54],"temporal":[55,108],"spatial":[57,110],"domain,":[58],"which":[59],"makes":[60],"accurate":[61],"challenging":[66],"task.":[67],"How":[68],"to":[69,105,126,144,154,171,195,218],"capture":[70],"potential":[72],"dynamic":[74,156],"spatial\u2013temporal":[75],"relationships":[76,130],"data":[79,115,208],"has":[80],"been":[81],"bottleneck":[83],"issue":[84],"researchers.":[88],"To":[89],"solve":[90],"above":[92],"problems,":[93],"this":[94],"article":[95],"proposes":[96],"adaptive":[98,120],"graph":[99,121],"fusion":[100,122],"convolutional":[101],"recurrent":[102,164],"network":[103],"(AGFCRN)":[104],"model":[106],"characteristics":[111],"dynamically":[116],"adaptively.":[118],"An":[119],"convolution":[123],"proposed":[125],"discover":[127],"changing":[129],"between":[131],"volumes":[133],"without":[134],"priori":[136],"knowledge.":[137],"It":[138],"uses":[139],"self-learned":[141,187],"node":[142,188],"embedding":[143,189],"generate":[145,155],"static":[146],"graphs":[147,157],"combines":[149],"current":[150],"historical":[152],"states":[153],"at":[158],"each":[159,202],"time":[160],"step.":[161],"A":[162],"gated":[163],"layer":[165,185],"with":[166],"residual":[167],"structure":[168],"designed":[170],"mitigate":[172],"decay":[174],"effects":[177],"long-term":[179],"modeling.":[180],"In":[181],"addition,":[182],"attention":[184],"incorporating":[186],"introduced":[191],"AGFCRN":[194,212],"efficiently":[196],"adjust":[197],"pattern":[200],"node.":[203],"Experiments":[204],"on":[205],"several":[206],"public":[207],"sets":[209],"demonstrate":[210],"that":[211],"can":[213],"achieve":[214],"competitive":[215],"performance":[216],"compared":[217],"other":[219],"typical":[220],"state-of-the-art":[222],"methods.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}