{"id":"https://openalex.org/W4382133464","doi":"https://doi.org/10.1007/s40747-023-01099-z","title":"Predicting traffic propagation flow in urban road network with multi-graph convolutional network","display_name":"Predicting traffic propagation flow in urban road network with multi-graph convolutional network","publication_year":2023,"publication_date":"2023-06-26","ids":{"openalex":"https://openalex.org/W4382133464","doi":"https://doi.org/10.1007/s40747-023-01099-z"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-023-01099-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01099-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01099-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01099-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074813385","display_name":"Haiqiang Yang","orcid":"https://orcid.org/0000-0003-2073-0433"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]},{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiqiang Yang","raw_affiliation_strings":["Institute for Future, School of Automation, Qingdao University, Qingdao, 266071, People\u2019s Republic of China","Shandong Key Laboratory of Industrial Control Technology, Qingdao, 266071, People\u2019s Republic of China","Institute for Future, School of Automation, Qingdao University, Qingdao, 266071, People's Republic of China"],"raw_orcid":"https://orcid.org/0000-0003-2073-0433","affiliations":[{"raw_affiliation_string":"Institute for Future, School of Automation, Qingdao University, Qingdao, 266071, People\u2019s Republic of China","institution_ids":["https://openalex.org/I108688024"]},{"raw_affiliation_string":"Shandong Key Laboratory of Industrial Control Technology, Qingdao, 266071, People\u2019s Republic of China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"Institute for Future, School of Automation, Qingdao University, Qingdao, 266071, People's Republic of China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100672514","display_name":"Zihan Li","orcid":"https://orcid.org/0009-0004-3839-0611"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihan Li","raw_affiliation_strings":["College of Physics, Qingdao University, Qingdao, 266071, People\u2019s Republic of China","College of Physics, Qingdao University, Qingdao, 266071, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physics, Qingdao University, Qingdao, 266071, People\u2019s Republic of China","institution_ids":["https://openalex.org/I108688024"]},{"raw_affiliation_string":"College of Physics, Qingdao University, Qingdao, 266071, People's Republic of China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104135253","display_name":"Yashuai Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yashuai Qi","raw_affiliation_strings":["College of Electronics and Information, Qingdao University, Qingdao, 266071, People\u2019s Republic of China","College of Electronics and Information, Qingdao University, Qingdao, 266071, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information, Qingdao University, Qingdao, 266071, People\u2019s Republic of China","institution_ids":["https://openalex.org/I108688024"]},{"raw_affiliation_string":"College of Electronics and Information, Qingdao University, Qingdao, 266071, People's Republic of China","institution_ids":["https://openalex.org/I108688024"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074813385"],"corresponding_institution_ids":["https://openalex.org/I108688024","https://openalex.org/I80143920"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":12.9682,"has_fulltext":true,"cited_by_count":86,"citation_normalized_percentile":{"value":0.99536994,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"10","issue":"1","first_page":"23","last_page":"35"},"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9984999895095825,"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":0.9944999814033508,"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/computer-science","display_name":"Computer science","score":0.6532811522483826},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5442491173744202},{"id":"https://openalex.org/keywords/upstream","display_name":"Upstream (networking)","score":0.5116456151008606},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.4948276877403259},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.4889127314090729},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.4449719786643982},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4044422209262848},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3054492175579071},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.22320836782455444},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1685815453529358},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16049781441688538},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12490519881248474}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6532811522483826},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5442491173744202},{"id":"https://openalex.org/C191172861","wikidata":"https://www.wikidata.org/wiki/Q7899321","display_name":"Upstream (networking)","level":2,"score":0.5116456151008606},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.4948276877403259},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.4889127314090729},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.4449719786643982},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4044422209262848},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3054492175579071},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.22320836782455444},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1685815453529358},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16049781441688538},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12490519881248474}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-023-01099-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01099-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01099-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a70a3a60317d45c1b6cf9744110c034f","is_oa":true,"landing_page_url":"https://doaj.org/article/a70a3a60317d45c1b6cf9744110c034f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 10, Iss 1, Pp 23-35 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-023-01099-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01099-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01099-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1710929010","display_name":null,"funder_award_id":"2020YFB1313604","funder_id":"https://openalex.org/F4320335774","funder_display_name":"Key Technologies Research and Development Program"}],"funders":[{"id":"https://openalex.org/F4320335774","display_name":"Key Technologies Research and Development Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382133464.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W2057744460","https://openalex.org/W2807894308","https://openalex.org/W2884128153","https://openalex.org/W2901504064","https://openalex.org/W2910982572","https://openalex.org/W2955819484","https://openalex.org/W2965019022","https://openalex.org/W2973546771","https://openalex.org/W2991205212","https://openalex.org/W2997035976","https://openalex.org/W3012140785","https://openalex.org/W3015851013","https://openalex.org/W3018553508","https://openalex.org/W3023853351","https://openalex.org/W3034077089","https://openalex.org/W3038326580","https://openalex.org/W3041279471","https://openalex.org/W3043790937","https://openalex.org/W3093456443","https://openalex.org/W3123191313","https://openalex.org/W3125437963","https://openalex.org/W3125675327","https://openalex.org/W3158304688","https://openalex.org/W3163269854","https://openalex.org/W3193512724","https://openalex.org/W3194889071","https://openalex.org/W4200232527","https://openalex.org/W4200563083","https://openalex.org/W4206151722","https://openalex.org/W4283167368"],"related_works":["https://openalex.org/W1761139602","https://openalex.org/W3040229530","https://openalex.org/W2986348191","https://openalex.org/W2384330248","https://openalex.org/W2348271845","https://openalex.org/W2803041665","https://openalex.org/W2021088219","https://openalex.org/W2374982504","https://openalex.org/W2375665878","https://openalex.org/W3083989997"],"abstract_inverted_index":{"Abstract":[0],"Traffic":[1],"volume":[2],"propagating":[3],"from":[4,92,158],"upstream":[5,96],"road":[6,10,65,70,129],"link":[7,11,97],"to":[8,34,121],"downstream":[9,102],"is":[12,52,79],"the":[13,40,55,61,123,137,150,170,174],"key":[14],"parameter":[15],"for":[16],"designing":[17],"intersection":[18],"signal":[19],"timing":[20],"scheme.":[21],"Recent":[22],"works":[23],"successfully":[24],"used":[25],"graph":[26],"convolutional":[27,116],"network":[28],"(GCN)":[29],"and":[30,98,168],"specific":[31,72],"time-series":[32],"model":[33,58,110,133,151,172],"forecast":[35],"traffic":[36,46,73,124,154],"flow":[37,48,75,126,155],"by":[38,81],"capturing":[39],"spatial\u2013temporal":[41],"features.":[42],"However,":[43],"accurately":[44],"predicting":[45],"propagation":[47,74,114,125],"(":[49,76],"tpf":[50,77,88,93,99],")":[51,78],"challenging,":[53],"since":[54],"classical":[56],"GCN":[57],"only":[59,136],"considers":[60],"influence":[62],"of":[63],"adjacent":[64,87],"link.":[66,103],"In":[67],"complex":[68],"urban":[69,128],"network,":[71],"affected":[80],"various":[82],"spatial":[83],"features,":[84],"such":[85],"as":[86],",":[89],"which":[90],"influences":[91],"with":[94,100,173],"same":[95,101],"Thus,":[104],"we":[105,166],"proposed":[106,171],"a":[107],"multi-graph":[108],"learning-based":[109],"named":[111],"TPP-GCN":[112,132],"(traffic":[113],"prediction-graph":[115],"network)":[117],"in":[118,127,162],"this":[119],"paper":[120],"predict":[122],"network.":[130],"The":[131],"captures":[134],"not":[135],"temporal":[138],"features":[139,143],"but":[140],"also":[141],"multi-spatial":[142],"based":[144],"on":[145],"multi-layer":[146],"convolution.":[147],"We":[148],"validated":[149],"using":[152],"real-world":[153],"data":[156,161],"derived":[157],"taxi":[159],"GPS":[160],"Shenzhen,":[163],"China.":[164],"Finally,":[165],"compare":[167],"evaluate":[169],"existing":[175],"models":[176],"across":[177],"several":[178],"prediction":[179],"scales.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":33},{"year":2024,"cited_by_count":48},{"year":2023,"cited_by_count":2}],"updated_date":"2026-01-21T23:30:37.877113","created_date":"2025-10-10T00:00:00"}
