{"id":"https://openalex.org/W7225618389","doi":"https://doi.org/10.1080/15472450.2026.2759591","title":"Dynamic traffic subarea partitioning: a graph convolutional network approach","display_name":"Dynamic traffic subarea partitioning: a graph convolutional network approach","publication_year":2026,"publication_date":"2026-11-09","ids":{"openalex":"https://openalex.org/W7225618389","doi":"https://doi.org/10.1080/15472450.2026.2759591"},"language":"en","primary_location":{"id":"doi:10.1080/15472450.2026.2759591","doi":"https://doi.org/10.1080/15472450.2026.2759591","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2026.2759591","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1024-8072","issn":["1024-8072","1027-751X","1547-2442","1547-2450","1563-5082"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","cwts-core","dongbi-b","jufo-1","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Transportation Systems","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5101224553","display_name":"Xiaojuan Lu","orcid":"https://orcid.org/0000-0003-1236-6758","observed_orcids":["https://orcid.org/0000-0003-1236-6758"]},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaojuan Lu","raw_affiliation_strings":["School of Traffic and Transportation, Lanzhou Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Lanzhou Jiaotong University","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101866775","display_name":"Changxi Ma","orcid":"https://orcid.org/0000-0002-0250-5462","observed_orcids":["https://orcid.org/0000-0002-0250-5462"]},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changxi Ma","raw_affiliation_strings":["School of Traffic and Transportation, Lanzhou Jiaotong University"],"raw_orcid":"https://orcid.org/0000-0002-0250-5462","affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Lanzhou Jiaotong University","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5161306276","display_name":"Jianjun Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Wang","raw_affiliation_strings":["College of Transportation Engineering, Chang\u2019an University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Transportation Engineering, Chang\u2019an University","institution_ids":["https://openalex.org/I25355098"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101224553"],"corresponding_institution_ids":["https://openalex.org/I3133134087"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.5961999893188477,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.5961999893188477,"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"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.37299999594688416,"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":0.009800000116229057,"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/graph-convolutional-networks","display_name":"graph convolutional networks","score":0.9279999732971191},{"id":"https://openalex.org/keywords/agglomerative-hierarchical-clustering","display_name":"agglomerative clustering","score":1.0},{"id":"https://openalex.org/keywords/road-topology","display_name":"road network topology","score":0.9290000200271606},{"id":"https://openalex.org/keywords/dynamic-traffic-management","display_name":"dynamic traffic management","score":0.6129999756813049},{"id":"https://openalex.org/keywords/intelligent-transportation-systems","display_name":"intelligent transportation systems","score":0.6470000147819519}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.689300000667572},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5764999985694885},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5447999835014343},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.49050000309944153},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46129998564720154},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.4560000002384186},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45239999890327454},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.4390000104904175},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.42170000076293945},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.421099990606308},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.41179999709129333},{"id":"https://openalex.org/C48903430","wikidata":"https://www.wikidata.org/wiki/Q491370","display_name":"Graph partition","level":3,"score":0.4025000035762787},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.37619999051094055},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.3481000065803528},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.3447999954223633},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.34439998865127563},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.32260000705718994},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.31060001254081726},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.29159998893737793},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.28540000319480896},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.2752000093460083},{"id":"https://openalex.org/C42693407","wikidata":"https://www.wikidata.org/wiki/Q4686317","display_name":"Advanced Traffic Management System","level":3,"score":0.2727999985218048}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/15472450.2026.2759591","doi":"https://doi.org/10.1080/15472450.2026.2759591","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2026.2759591","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1024-8072","issn":["1024-8072","1027-751X","1547-2442","1547-2450","1563-5082"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","cwts-core","dongbi-b","jufo-1","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":1.0},{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8787999749183655}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2086662759","https://openalex.org/W2273707087","https://openalex.org/W2320593254","https://openalex.org/W2732595667","https://openalex.org/W2758602187","https://openalex.org/W2928229965","https://openalex.org/W2989361709","https://openalex.org/W2995340547","https://openalex.org/W3011390377","https://openalex.org/W3087451749","https://openalex.org/W3106728933","https://openalex.org/W3125861912","https://openalex.org/W3155056342","https://openalex.org/W3180760213","https://openalex.org/W4200018459","https://openalex.org/W4200534728","https://openalex.org/W4283077531","https://openalex.org/W4283163947","https://openalex.org/W4288068111","https://openalex.org/W4296450964","https://openalex.org/W4385202440","https://openalex.org/W4385602751","https://openalex.org/W4387586942","https://openalex.org/W4390955021","https://openalex.org/W4396622491","https://openalex.org/W4402892022","https://openalex.org/W4405941047","https://openalex.org/W4408791296","https://openalex.org/W4409393087","https://openalex.org/W4410584022","https://openalex.org/W4411103670","https://openalex.org/W4414296791"],"related_works":["https://openalex.org/W7104029302","https://openalex.org/W4412712222","https://openalex.org/W7081935548","https://openalex.org/W7208828581","https://openalex.org/W3172335600","https://openalex.org/W7204919456","https://openalex.org/W7135154602","https://openalex.org/W4296450964","https://openalex.org/W7105694511","https://openalex.org/W7207578092"],"abstract_inverted_index":{"This":[0],"study":[1,73],"aims":[2],"to":[3,70,88,127,154,160,182],"enhance":[4],"the":[5,14,80,93,146,190],"performance":[6],"of":[7,17,78,150,192],"regional":[8],"coordinated":[9],"traffic":[10,18,156,177,185],"control":[11,19],"and":[12,33,45,57,65,104,115,125,141,148,163,188],"optimize":[13],"dynamic":[15,176],"partitioning":[16,52,85],"subareas.":[20],"A":[21],"novel":[22],"GCN-HAC":[23,81,168],"approach":[24],"is":[25],"proposed,":[26],"which":[27],"integrates":[28],"Graph":[29],"Convolutional":[30],"Network":[31],"(GCN)":[32],"Hierarchical":[34],"Agglomerative":[35],"Clustering":[36,98,107],"(HAC)":[37],"algorithms.":[38],"The":[39,109,166],"method":[40,82],"utilizes":[41],"Path\u2013Cycle\u2013State":[42],"correlation":[43],"features":[44],"road":[46,129],"network":[47],"topology":[48],"as":[49],"inputs.":[50],"Subarea":[51],"results":[53],"are":[54],"continuously":[55],"evaluated":[56],"adjusted":[58],"over":[59],"time":[60],"based":[61],"on":[62],"homogeneity,":[63],"correlation,":[64],"inter-subarea":[66],"difference":[67],"metrics.":[68],"Applied":[69],"a":[71,75,171],"case":[72],"in":[74],"local":[76],"area":[77],"Chengdu,":[79],"demonstrated":[83],"superior":[84],"effectiveness":[86],"compared":[87],"several":[89],"benchmark":[90],"algorithms,":[91],"including":[92],"Newman":[94],"algorithm,":[95],"Density":[96],"Peak":[97],"(DPC),":[99],"Normalized":[100],"Cut":[101],"(NCut),":[102],"HDBSCAN,":[103],"Fuzzy":[105],"C-Means":[106],"(FCM).":[108],"algorithm":[110],"also":[111],"exhibited":[112],"strong":[113],"interpretability":[114],"broad":[116],"applicability.":[117],"Moreover,":[118],"its":[119],"operational":[120],"efficiency":[121],"supports":[122],"quasi-real-time":[123],"application":[124],"scalability":[126],"large-scale":[128,193],"networks.":[130],"During":[131],"evolution":[132],"analysis":[133],"across":[134],"morning":[135],"peak":[136,143],"(08:00\u201310:00),":[137],"weekday":[138],"off-peak":[139],"(10:00\u201317:00),":[140],"evening":[142],"(17:00\u201319:00)":[144],"periods,":[145],"number":[147],"configuration":[149],"subareas":[151],"dynamically":[152],"adapted":[153],"actual":[155],"flow":[157],"characteristics,":[158],"leading":[159],"more":[161],"reasonable":[162],"realistic":[164],"partitioning.":[165],"proposed":[167],"framework":[169],"provides":[170],"robust,":[172],"adaptive":[173],"solution":[174],"for":[175],"subarea":[178],"division,":[179],"with":[180],"potential":[181],"improve":[183],"real-time":[184],"management":[186],"systems":[187],"support":[189],"development":[191],"intelligent":[194],"transportation":[195],"infrastructures.":[196]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2026-11-10T00:00:00"}