{"id":"https://openalex.org/W4229002088","doi":"https://doi.org/10.1109/tnnls.2022.3169488","title":"Synchronous Spatiotemporal Graph Transformer: A New Framework for Traffic Data Prediction","display_name":"Synchronous Spatiotemporal Graph Transformer: A New Framework for Traffic Data Prediction","publication_year":2022,"publication_date":"2022-05-06","ids":{"openalex":"https://openalex.org/W4229002088","doi":"https://doi.org/10.1109/tnnls.2022.3169488","pmid":"https://pubmed.ncbi.nlm.nih.gov/35522636"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3169488","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3169488","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100428385","display_name":"Tian Wang","orcid":"https://orcid.org/0000-0001-8427-4495"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Wang","raw_affiliation_strings":["Institute of Artificial Intelligence, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8427-4495","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390341","display_name":"Jiahui Chen","orcid":"https://orcid.org/0000-0003-4370-0106"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Chen","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4370-0106","affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027725400","display_name":"Jinhu L\u00fc","orcid":"https://orcid.org/0000-0003-0275-8387"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhu L\u00fc","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0275-8387","affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451446","display_name":"Kexin Liu","orcid":"https://orcid.org/0000-0003-4328-6339"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kexin Liu","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4328-6339","affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075167001","display_name":"Aichun Zhu","orcid":"https://orcid.org/0000-0001-6972-5534"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aichun Zhu","raw_affiliation_strings":["School of Computer Science and Technology, Nanjing Tech University, Nanjing, China","Nanjing Tech University (30 South Puzhu Road, Nanjing 211816, Jiangsu Province, China - China)"],"raw_orcid":"https://orcid.org/0000-0001-6972-5534","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]},{"raw_affiliation_string":"Nanjing Tech University (30 South Puzhu Road, Nanjing 211816, Jiangsu Province, China - China)","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066400774","display_name":"Hichem Snoussi","orcid":"https://orcid.org/0000-0002-6563-2135"},"institutions":[{"id":"https://openalex.org/I140494188","display_name":"Universit\u00e9 de Technologie de Troyes","ror":"https://ror.org/01qhqcj41","country_code":"FR","type":"education","lineage":["https://openalex.org/I140494188"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hichem Snoussi","raw_affiliation_strings":["Charles Delaunay Institute (ICD), University of Technology of Troyes, Troyes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Charles Delaunay Institute (ICD), University of Technology of Troyes, Troyes, France","institution_ids":["https://openalex.org/I140494188"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015525872","display_name":"Baochang Zhang","orcid":"https://orcid.org/0000-0001-7396-6218"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baochang Zhang","raw_affiliation_strings":["Institute of Artificial Intelligence, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7396-6218","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.0349,"has_fulltext":false,"cited_by_count":145,"citation_normalized_percentile":{"value":0.98782775,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"34","issue":"12","first_page":"10589","last_page":"10599"},"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":0.9965999722480774,"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/T11106","display_name":"Data Management and Algorithms","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7923336029052734},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5763691663742065},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5692868232727051},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4232589602470398},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3894907534122467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.319071888923645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7923336029052734},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5763691663742065},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5692868232727051},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4232589602470398},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3894907534122467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.319071888923645},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2022.3169488","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3169488","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:35522636","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35522636","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:HAL:hal-04453714v1","is_oa":false,"landing_page_url":"https://utt.hal.science/hal-04453714","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems, 2023, 34 (12), pp.10589-10599. &#x27E8;10.1109/TNNLS.2022.3169488&#x27E9;","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1318288144","display_name":null,"funder_award_id":"62076016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4429559949","display_name":"\u57fa\u4e8e\u667a\u80fd\u5b89\u9632\u65f6\u7a7a\u60c5\u5883\u7406\u89e3\u7684\u5f02\u5e38\u4e8b\u4ef6\u9ad8\u6548\u89e3\u6790\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61972016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4769285672","display_name":null,"funder_award_id":"92067204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4798041989","display_name":null,"funder_award_id":"62101245","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5601310307","display_name":null,"funder_award_id":"YWF-20-BJ-J-612","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G561250190","display_name":null,"funder_award_id":"62141604","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5675372752","display_name":null,"funder_award_id":"62032016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8408445822","display_name":null,"funder_award_id":"L191007","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1902237438","https://openalex.org/W1973943669","https://openalex.org/W2046033161","https://openalex.org/W2145039203","https://openalex.org/W2194775991","https://openalex.org/W2504266609","https://openalex.org/W2528639018","https://openalex.org/W2756203131","https://openalex.org/W2903871660","https://openalex.org/W2907492528","https://openalex.org/W2945622688","https://openalex.org/W2963214893","https://openalex.org/W2964051675","https://openalex.org/W2965341826","https://openalex.org/W2987119394","https://openalex.org/W2996847713","https://openalex.org/W3097237405","https://openalex.org/W3103720336","https://openalex.org/W3123909522","https://openalex.org/W3170140111","https://openalex.org/W3174022889","https://openalex.org/W3208624098","https://openalex.org/W6631190155","https://openalex.org/W6679436768","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6739901393","https://openalex.org/W6746015598","https://openalex.org/W6752110883","https://openalex.org/W6789720248"],"related_works":["https://openalex.org/W4387838477","https://openalex.org/W2067193074","https://openalex.org/W2182785089","https://openalex.org/W4312178642","https://openalex.org/W2375093801","https://openalex.org/W3107426390","https://openalex.org/W1534368937","https://openalex.org/W4312624109","https://openalex.org/W3175683656","https://openalex.org/W2892553522"],"abstract_inverted_index":{"Modeling":[0],"the":[1,29,53,71,83,92,95,111,116,126,139,152,167,170,184,187],"spatiotemporal":[2,30],"relationship":[3],"(STR)":[4],"of":[5,41,88,128,154,169,186],"traffic":[6,84],"data":[7,31],"is":[8,45,55,78],"important":[9],"yet":[10],"challenging":[11],"for":[12,57,80],"existing":[13],"graph":[14,108,118],"networks.":[15],"These":[16],"methods":[17],"usually":[18],"capture":[19,48,145],"features":[20],"separately":[21],"in":[22,110,138],"temporal":[23],"and":[24,107,120,130],"spatial":[25],"dimensions":[26],"or":[27],"represent":[28],"by":[32,102,172,181],"adopting":[33],"multiple":[34],"local":[35,64],"spatial-temporal":[36],"graphs.":[37],"The":[38,86],"first":[39],"kind":[40],"method":[42,90],"mentioned":[43],"above":[44],"difficult":[46],"to":[47,62,144,150],"potential":[49],"temporal-spatial":[50],"relationships,":[51],"while":[52],"other":[54],"limited":[56],"long-term":[58],"feature":[59],"extraction":[60],"due":[61],"its":[63],"receptive":[65],"field.":[66],"To":[67],"handle":[68,125],"these":[69],"issues,":[70],"Synchronous":[72],"Spatio-Temporal":[73],"grAph":[74],"Transformer":[75],"(S2TAT)":[76],"network":[77],"proposed":[79,112],"efficiently":[81],"modeling":[82],"data.":[85],"contributions":[87],"our":[89,103],"include":[91],"following:":[93],"1)":[94],"nonlocal":[96],"STR":[97],"can":[98,124],"be":[99],"synchronously":[100],"modeled":[101],"integrated":[104],"attention":[105],"mechanism":[106,122],"convolution":[109,119],"S2TAT":[113,171],"block;":[114],"2)":[115],"timewise":[117],"multihead":[121],"designed":[123],"heterogeneity":[127],"data;":[129],"3)":[131],"we":[132],"introduce":[133],"a":[134,174],"novel":[135],"attention-based":[136],"strategy":[137],"output":[140],"module,":[141],"being":[142],"able":[143],"more":[146],"valuable":[147],"historical":[148],"information":[149],"overcome":[151],"shortcoming":[153],"conventional":[155],"average":[156],"aggregation.":[157],"Extensive":[158],"experiments":[159],"are":[160],"conducted":[161],"on":[162],"PeMS":[163],"datasets":[164],"that":[165],"demonstrate":[166],"efficacy":[168],"achieving":[173],"top-one":[175],"accuracy":[176],"but":[177],"less":[178],"computational":[179],"cost":[180],"comparing":[182],"with":[183],"state":[185],"art.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":59},{"year":2025,"cited_by_count":56},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
