{"id":"https://openalex.org/W4406706266","doi":"https://doi.org/10.1007/s40747-024-01769-6","title":"Short-term urban traffic forecasting in smart cities: a dynamic diffusion spatial-temporal graph convolutional network","display_name":"Short-term urban traffic forecasting in smart cities: a dynamic diffusion spatial-temporal graph convolutional network","publication_year":2025,"publication_date":"2025-01-22","ids":{"openalex":"https://openalex.org/W4406706266","doi":"https://doi.org/10.1007/s40747-024-01769-6"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01769-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01769-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01769-6.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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & 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/s40747-024-01769-6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069496916","display_name":"Xiang Yin","orcid":"https://orcid.org/0000-0002-6554-1516"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]},{"id":"https://openalex.org/I4210094772","display_name":"Henan University of Engineering","ror":"https://ror.org/007wym039","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210094772"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang Yin","raw_affiliation_strings":["School of Software, Intelligent Data Processing Engineering Research Center of Henan Province, Henan University, Henan, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Intelligent Data Processing Engineering Research Center of Henan Province, Henan University, Henan, China","institution_ids":["https://openalex.org/I4210094772","https://openalex.org/I36152291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083705297","display_name":"Junyang Yu","orcid":"https://orcid.org/0000-0003-0151-580X"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyang Yu","raw_affiliation_strings":["School of Software, Henan University, Henan, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Henan University, Henan, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101905213","display_name":"Xiaoyu Duan","orcid":"https://orcid.org/0000-0003-2053-4352"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Duan","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333510","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-8000-7872"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["School of Software, Henan University, Henan, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Henan University, Henan, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076602159","display_name":"Xiaoli Liang","orcid":"https://orcid.org/0000-0002-8457-4233"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoli Liang","raw_affiliation_strings":["School of Software, Henan University, Henan, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Henan University, Henan, China","institution_ids":["https://openalex.org/I173899330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5069496916"],"corresponding_institution_ids":["https://openalex.org/I36152291","https://openalex.org/I4210094772"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":11.1975,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.98538315,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"11","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9988999962806702,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9975000023841858,"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/term","display_name":"Term (time)","score":0.6556304097175598},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.6085602045059204},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5519527792930603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5500124096870422},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5185825824737549},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2729372978210449},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13955077528953552},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0814865231513977}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6556304097175598},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.6085602045059204},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5519527792930603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5500124096870422},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5185825824737549},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2729372978210449},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13955077528953552},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0814865231513977},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01769-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01769-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01769-6.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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:df6d1d1cec884f2da03ef260de6bd954","is_oa":true,"landing_page_url":"https://doaj.org/article/df6d1d1cec884f2da03ef260de6bd954","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 11, Iss 2, Pp 1-12 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01769-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01769-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01769-6.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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2018342427","display_name":null,"funder_award_id":"42201465","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406706266.pdf","grobid_xml":"https://content.openalex.org/works/W4406706266.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W17654767","https://openalex.org/W1973943669","https://openalex.org/W1982978808","https://openalex.org/W1989491491","https://openalex.org/W2049952439","https://openalex.org/W2056590306","https://openalex.org/W2064675550","https://openalex.org/W2091187720","https://openalex.org/W2096166399","https://openalex.org/W2101491865","https://openalex.org/W2145039203","https://openalex.org/W2565330852","https://openalex.org/W2579495707","https://openalex.org/W2756203131","https://openalex.org/W2788134583","https://openalex.org/W2808535700","https://openalex.org/W2903871660","https://openalex.org/W2965341826","https://openalex.org/W3080253043","https://openalex.org/W3103720336","https://openalex.org/W3121087702","https://openalex.org/W3137441277","https://openalex.org/W3175925542","https://openalex.org/W3201339195","https://openalex.org/W4200464605","https://openalex.org/W4205542731","https://openalex.org/W4211213044","https://openalex.org/W4291034555","https://openalex.org/W4293168685","https://openalex.org/W4308889875","https://openalex.org/W4312720137","https://openalex.org/W4313537271","https://openalex.org/W4313898215","https://openalex.org/W4382199608"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Short-term":[0],"traffic":[1,14,18,33,40,45,56,95,125,132],"forecasting":[2,41],"is":[3,25,42,47,117,146],"an":[4],"important":[5],"part":[6],"of":[7,26,37,58,109,124,131,159],"intelligent":[8],"transportation":[9],"systems.":[10],"Accurately":[11],"predicting":[12],"short-term":[13,38],"trends":[15],"can":[16],"avoid":[17],"congestion":[19],"and":[20,32,49,87,97,155],"plan":[21],"travel":[22],"routes,":[23],"which":[24],"great":[27],"significance":[28],"to":[29,63,92,105,119,127,135],"urban":[30,39],"management":[31],"scheduling.":[34],"The":[35],"difficulty":[36],"that":[43,143],"the":[44,55,83,88,100,107,113,121,129,139,144,157,160],"flow":[46],"random":[48,102],"will":[50],"be":[51],"dynamically":[52],"changed":[53],"by":[54],"conditions":[57],"nearby":[59],"nodes.":[60,111],"In":[61],"order":[62],"solve":[64],"this":[65,67],"problem,":[66],"paper":[68],"proposes":[69],"a":[70],"model":[71,145],"based":[72],"on":[73,152],"Dynamic":[74],"Diffusion":[75],"Spatial-Temporal":[76],"Graph":[77],"Convolutional":[78],"Network.":[79],"It":[80],"first":[81],"combines":[82],"dynamic":[84],"generation":[85],"matrix":[86,91],"static":[89],"distance":[90],"grasp":[93],"real-time":[94],"conditions,":[96],"then":[98],"introduces":[99],"diffusion":[101],"walk":[103],"strategy":[104],"capture":[106],"correlation":[108],"spatial":[110],"Finally,":[112],"convolutional":[114],"LSTM":[115],"module":[116,161],"used":[118],"mine":[120],"spatiotemporal":[122],"dependence":[123],"data":[126],"improve":[128],"accuracy":[130],"prediction.":[133],"Compared":[134],"several":[136,153],"baseline":[137],"models,":[138],"experimental":[140],"results":[141],"show":[142],"7%":[147],"better":[148],"than":[149],"other":[150],"models":[151],"metrics":[154],"demonstrates":[156],"necessity":[158],"through":[162],"ablation":[163],"experiments.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}