{"id":"https://openalex.org/W4283034461","doi":"https://doi.org/10.1142/s2196888822500324","title":"Dynamic Spatial Transformer WaveNet Network for Traffic Forecasting","display_name":"Dynamic Spatial Transformer WaveNet Network for Traffic Forecasting","publication_year":2022,"publication_date":"2022-06-17","ids":{"openalex":"https://openalex.org/W4283034461","doi":"https://doi.org/10.1142/s2196888822500324"},"language":"en","primary_location":{"id":"doi:10.1142/s2196888822500324","is_oa":true,"landing_page_url":"https://doi.org/10.1142/s2196888822500324","pdf_url":null,"source":{"id":"https://openalex.org/S2486636169","display_name":"Vietnam Journal of Computer Science","issn_l":"2196-8888","issn":["2196-8888","2196-8896"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Vietnam Journal of Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1142/s2196888822500324","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062442437","display_name":"Khac\u2010Hoai Nam Bui","orcid":"https://orcid.org/0000-0002-3427-8460"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khac-Hoai Nam Bui","raw_affiliation_strings":["Viettel Cyberspace Center, Viettel Group, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Viettel Cyberspace Center, Viettel Group, Hanoi, Vietnam","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078284144","display_name":"Ngoc-Dung Nguyen","orcid":"https://orcid.org/0000-0002-8958-8095"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ngoc-Dung Nguyen","raw_affiliation_strings":["Viettel Cyberspace Center, Viettel Group, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Viettel Cyberspace Center, Viettel Group, Hanoi, Vietnam","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050892479","display_name":"Hongsuk Yi","orcid":"https://orcid.org/0000-0002-3154-1884"},"institutions":[{"id":"https://openalex.org/I878022262","display_name":"Korea Institute of Science & Technology Information","ror":"https://ror.org/01k4yrm29","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I878022262"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hongsuk Yi","raw_affiliation_strings":["Korea Institute of Science and Technology Information, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Institute of Science and Technology Information, Daejeon, Korea","institution_ids":["https://openalex.org/I878022262"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5050892479"],"corresponding_institution_ids":["https://openalex.org/I878022262"],"apc_list":null,"apc_paid":null,"fwci":1.1344,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.74330661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"10","issue":"01","first_page":"25","last_page":"38"},"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":0.9958000183105469,"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":0.9908000230789185,"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":0.8043538331985474},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5876277089118958},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4872668981552124},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.4561339020729065},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4479217827320099},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4321998357772827},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.4193040132522583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36606597900390625},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3522263765335083},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1460714340209961},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13196220993995667},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09078282117843628}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8043538331985474},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5876277089118958},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4872668981552124},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.4561339020729065},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4479217827320099},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4321998357772827},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.4193040132522583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36606597900390625},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3522263765335083},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1460714340209961},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13196220993995667},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09078282117843628},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s2196888822500324","is_oa":true,"landing_page_url":"https://doi.org/10.1142/s2196888822500324","pdf_url":null,"source":{"id":"https://openalex.org/S2486636169","display_name":"Vietnam Journal of Computer Science","issn_l":"2196-8888","issn":["2196-8888","2196-8896"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Vietnam Journal of Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:dd935c2bb4fe489bb211dda6e3c5dc79","is_oa":true,"landing_page_url":"https://doaj.org/article/dd935c2bb4fe489bb211dda6e3c5dc79","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Vietnam Journal of Computer Science, Vol 10, Iss 01, Pp 25-38 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1142/s2196888822500324","is_oa":true,"landing_page_url":"https://doi.org/10.1142/s2196888822500324","pdf_url":null,"source":{"id":"https://openalex.org/S2486636169","display_name":"Vietnam Journal of Computer Science","issn_l":"2196-8888","issn":["2196-8888","2196-8896"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Vietnam Journal of Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2579495707","https://openalex.org/W2756203131","https://openalex.org/W2903871660","https://openalex.org/W2965341826","https://openalex.org/W2971112769","https://openalex.org/W2997848713","https://openalex.org/W3020796509","https://openalex.org/W3080253043","https://openalex.org/W3103720336","https://openalex.org/W3123191313","https://openalex.org/W3135694489","https://openalex.org/W3146603099","https://openalex.org/W3175925542"],"related_works":["https://openalex.org/W239469043","https://openalex.org/W575892133","https://openalex.org/W2161705504","https://openalex.org/W2999796123","https://openalex.org/W2215102337","https://openalex.org/W2348178913","https://openalex.org/W2738988517","https://openalex.org/W3030121836","https://openalex.org/W577780585","https://openalex.org/W566386985"],"abstract_inverted_index":{"Traffic":[0],"forecasting":[1],"has":[2],"emerged":[3],"as":[4,19],"an":[5,61,144],"important":[6],"task":[7],"for":[8,27,110],"developing":[9],"intelligent":[10],"transportation":[11],"systems.":[12],"Recent":[13],"works":[14],"focus":[15],"on":[16,40,173],"representing":[17],"traffic":[18,53,75,100,133,154,170,176],"graph":[20,24,37],"operation":[21],"and":[22,66,97,115],"using":[23],"neural":[25],"networks":[26],"spatial\u2013temporal":[28],"prediction.":[29],"Most":[30],"of":[31,52,74,99,169,182],"the":[32,64,94,111,124,139,179],"approaches":[33],"assume":[34],"a":[35,81,104,116,131],"predefined":[36],"structure":[38,73],"based":[39],"node":[41],"distances.":[42],"However,":[43],"spatial":[44,65,117,126,160],"dependencies":[45,68],"change":[46],"over":[47],"time":[48,113],"in":[49,102,143,188],"many":[50,166],"scenarios":[51,168],"flow.":[54,171],"In":[55,148],"this":[56,58,189],"regard,":[57],"study":[59],"takes":[60],"investigation":[62],"capturing":[63],"temporal":[67,105],"with":[69,151,185],"no":[70],"prior":[71],"knowledge":[72],"road":[76],"networks.":[77],"Specifically,":[78],"we":[79,129],"propose":[80],"multi-step":[82],"prediction":[83],"model":[84],"named":[85],"Dynamic":[86],"Spatial":[87],"Transformer":[88],"WaveNet":[89],"Network":[90],"(DSTWN)":[91],"to":[92,122,165],"capture":[93,123],"dynamic":[95,125],"conditions":[96],"directions":[98],"flow":[101],"which":[103,135,162],"convolution":[106],"layer":[107,119],"is":[108,120,136,163],"adopted":[109],"long":[112],"sequence":[114],"transformer":[118],"proposed":[121],"dependencies.":[127],"Furthermore,":[128],"introduce":[130],"new":[132],"dataset,":[134],"collected":[137],"from":[138],"vehicle":[140],"detection":[141],"system":[142],"urban":[145],"area":[146],"(UVDS).":[147],"particular,":[149],"compared":[150,184],"existing":[152],"benchmark":[153,175],"data,":[155],"UVDS":[156],"contains":[157],"more":[158],"complicated":[159],"information,":[161],"similar":[164],"real-world":[167],"Experiments":[172],"both":[174],"datasets":[177],"indicate":[178],"promising":[180],"results":[181],"DSTWN":[183],"state-of-the-art":[186],"models":[187],"research":[190],"field.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
