{"id":"https://openalex.org/W4308080217","doi":"https://doi.org/10.1109/itsc55140.2022.9922130","title":"Asymmetric Long-Term Graph Multi-Attention Network for Traffic Speed Prediction","display_name":"Asymmetric Long-Term Graph Multi-Attention Network for Traffic Speed Prediction","publication_year":2022,"publication_date":"2022-10-08","ids":{"openalex":"https://openalex.org/W4308080217","doi":"https://doi.org/10.1109/itsc55140.2022.9922130"},"language":"en","primary_location":{"id":"doi:10.1109/itsc55140.2022.9922130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9922130","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},"type":"article","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/A5019637670","display_name":"Ji\u2010Young Hwang","orcid":"https://orcid.org/0000-0001-8044-1989"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jiyoung Hwang","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology,Civil and Environmental Engineering Department,Daejeon,South Korea,34141"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology,Civil and Environmental Engineering Department,Daejeon,South Korea,34141","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041198613","display_name":"Byeongjoon Noh","orcid":"https://orcid.org/0000-0002-0458-1573"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byeongjoon Noh","raw_affiliation_strings":["Applied Science Research Institute, Korea Advanced Institute of Science and Technology,Daejeon,South Korea,34141"],"affiliations":[{"raw_affiliation_string":"Applied Science Research Institute, Korea Advanced Institute of Science and Technology,Daejeon,South Korea,34141","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034418563","display_name":"Zhixiong Jin","orcid":"https://orcid.org/0000-0002-1370-781X"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Zhixiong Jin","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology,Civil and Environmental Engineering Department,Daejeon,South Korea,34141"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology,Civil and Environmental Engineering Department,Daejeon,South Korea,34141","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033786777","display_name":"Hwasoo Yeo","orcid":"https://orcid.org/0000-0002-2684-0978"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hwasoo Yeo","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology,Civil and Environmental Engineering Department,Daejeon,South Korea,34141"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology,Civil and Environmental Engineering Department,Daejeon,South Korea,34141","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5019637670"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":1.3492,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79991817,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1498","last_page":"1503"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10524","display_name":"Traffic control and management","score":0.975600004196167,"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":0.97079998254776,"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/computer-science","display_name":"Computer science","score":0.7420566082000732},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.7314157485961914},{"id":"https://openalex.org/keywords/traffic-speed","display_name":"Traffic speed","score":0.6403545141220093},{"id":"https://openalex.org/keywords/long-term-prediction","display_name":"Long-term prediction","score":0.6368023157119751},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5924950838088989},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5125293731689453},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4325235188007355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4015922546386719},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3341042697429657},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1392839252948761},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10584190487861633},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10330834984779358}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7420566082000732},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7314157485961914},{"id":"https://openalex.org/C2993660032","wikidata":"https://www.wikidata.org/wiki/Q746984","display_name":"Traffic speed","level":2,"score":0.6403545141220093},{"id":"https://openalex.org/C2776537626","wikidata":"https://www.wikidata.org/wiki/Q4047883","display_name":"Long-term prediction","level":2,"score":0.6368023157119751},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5924950838088989},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5125293731689453},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4325235188007355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4015922546386719},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3341042697429657},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1392839252948761},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10584190487861633},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10330834984779358},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc55140.2022.9922130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9922130","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2312586083","https://openalex.org/W2990600680","https://openalex.org/W2125784081","https://openalex.org/W1485535213","https://openalex.org/W4401943316","https://openalex.org/W4312663240","https://openalex.org/W2575223333","https://openalex.org/W2990285450","https://openalex.org/W757796128","https://openalex.org/W2520670548"],"abstract_inverted_index":{"Traffic":[0],"speed":[1,107,153],"prediction":[2,65,138,162],"is":[3,25,66,122,139],"essential":[4],"for":[5,59,134],"efficient":[6,73],"traffic":[7,33,64,76,106],"operation":[8],"and":[9,17,72,104,114,132,136,143,155],"management":[10,77],"by":[11,69,108],"distributing":[12],"demand":[13],"concentration":[14],"in":[15,118,151,160],"time":[16],"space.":[18],"To":[19],"make":[20],"an":[21,95],"accurate":[22],"prediction,":[23,61,154],"it":[24],"required":[26],"to":[27,48],"consider":[28],"spatio-temporal":[29],"characteristics":[30,111],"of":[31,75,97,112,129],"the":[32,50,98,148],"evolution.":[34],"Recently,":[35],"deep":[36],"learning-based":[37],"approaches,":[38],"especially":[39],"Graph":[40,90],"Neural":[41],"Network":[42,92],"(GNN)":[43],"has":[44],"been":[45],"widely":[46],"adopted":[47],"reflect":[49],"stated":[51],"characteristics.":[52],"However,":[53],"existing":[54,149],"GNN":[55],"models":[56,150],"mainly":[57],"used":[58],"short-term":[60,152],"whereas":[62],"long-term":[63,105,161],"more":[67],"useful":[68],"enabling":[70],"earlier":[71],"decisions":[74],"as":[78,80,141],"well":[79],"individual":[81],"travels.":[82],"In":[83],"this":[84],"study,":[85],"we":[86],"propose":[87],"Asymmetric":[88],"Long-Term":[89],"Multi-Attention":[91],"(ALT-GMAN)":[93],"algorithm,":[94],"extension":[96],"GMAN.":[99],"ALT-GMAN":[100,121,146],"can":[101],"predict":[102],"short":[103],"considering":[109],"asymmetric":[110],"forward":[113],"backward":[115],"waves":[116],"observed":[117],"real":[119],"roadways.":[120],"tested":[123],"with":[124],"six":[125],"months":[126],"highway":[127],"data":[128],"PeMS-Bay":[130],"area,":[131],"MAPE":[133],"3-hours":[135],"6-hours":[137],"evaluated":[140],"5.53%":[142],"6.05%,":[144],"respectively.":[145],"outperforms":[147],"provides":[156],"a":[157],"robust":[158],"performance":[159],"problems,":[163],"too.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
