{"id":"https://openalex.org/W3208808915","doi":"https://doi.org/10.1109/itsc48978.2021.9564567","title":"A Domain Adaptation Framework for Short-term Traffic Prediction","display_name":"A Domain Adaptation Framework for Short-term Traffic Prediction","publication_year":2021,"publication_date":"2021-09-19","ids":{"openalex":"https://openalex.org/W3208808915","doi":"https://doi.org/10.1109/itsc48978.2021.9564567","mag":"3208808915"},"language":"en","primary_location":{"id":"doi:10.1109/itsc48978.2021.9564567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc48978.2021.9564567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100363212","display_name":"Junyi Li","orcid":"https://orcid.org/0000-0002-8267-9939"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyi Li","raw_affiliation_strings":["College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101573674","display_name":"Kaihang Zhang","orcid":"https://orcid.org/0000-0003-4131-4965"},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaihang Zhang","raw_affiliation_strings":["ZJU-UIUC Institute, Zhejiang University, Haining, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ZJU-UIUC Institute, Zhejiang University, Haining, China","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071711551","display_name":"Loutao Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Loutao Shen","raw_affiliation_strings":["College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000231902","display_name":"Zhebing Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhebing Wang","raw_affiliation_strings":["CASIC Guangxin Intelligent Technology Co., Ltd. and Polytechnic Institute, Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CASIC Guangxin Intelligent Technology Co., Ltd. and Polytechnic Institute, Zhejiang University","institution_ids":["https://openalex.org/I4210153682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047497087","display_name":"Fangce Guo","orcid":"https://orcid.org/0000-0001-9720-0997"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fangce Guo","raw_affiliation_strings":["Department of Civil and Environmental Engineering, Imperial College London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037312929","display_name":"Panagiotis Angeloudis","orcid":"https://orcid.org/0000-0002-6778-8264"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Panagiotis Angeloudis","raw_affiliation_strings":["Department of Civil and Environmental Engineering, Imperial College London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031896665","display_name":"Xiqun Chen","orcid":"https://orcid.org/0000-0001-8285-084X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiqun Michael Chen","raw_affiliation_strings":["College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010818843","display_name":"Simon Hu","orcid":"https://orcid.org/0000-0002-9832-6679"},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Simon Hu","raw_affiliation_strings":["ZJU-UIUC Institute, Zhejiang University, Haining, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ZJU-UIUC Institute, Zhejiang University, Haining, China","institution_ids":["https://openalex.org/I4210158570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4323,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90198568,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3564","last_page":"3569"},"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7474960684776306},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6129433512687683},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6021822094917297},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5440773367881775},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.506632387638092},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4787963330745697},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4769545793533325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4570051431655884},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.43991464376449585},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.43494710326194763},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.4158891439437866},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15056800842285156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7474960684776306},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6129433512687683},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6021822094917297},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5440773367881775},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.506632387638092},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4787963330745697},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4769545793533325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4570051431655884},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.43991464376449585},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.43494710326194763},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.4158891439437866},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15056800842285156},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc48978.2021.9564567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc48978.2021.9564567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4699999988079071,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G4692722937","display_name":null,"funder_award_id":"71922019,71961137005,71771198","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G952322308","display_name":null,"funder_award_id":"2020AAA0107401","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1994978245","https://openalex.org/W2007221293","https://openalex.org/W2096943734","https://openalex.org/W2107298017","https://openalex.org/W2108995755","https://openalex.org/W2115403315","https://openalex.org/W2125865219","https://openalex.org/W2165698076","https://openalex.org/W2187089797","https://openalex.org/W2800123561","https://openalex.org/W2848293466","https://openalex.org/W2967772674","https://openalex.org/W2975127965","https://openalex.org/W3005147439","https://openalex.org/W3031087087","https://openalex.org/W3036360162","https://openalex.org/W3115061052","https://openalex.org/W3125437963","https://openalex.org/W6676215431","https://openalex.org/W6678814708","https://openalex.org/W6780349094"],"related_works":["https://openalex.org/W2997567050","https://openalex.org/W3201126466","https://openalex.org/W1483272040","https://openalex.org/W4283377908","https://openalex.org/W1533421371","https://openalex.org/W2003050223","https://openalex.org/W2091777911","https://openalex.org/W2766405861","https://openalex.org/W4282827391","https://openalex.org/W2360975119"],"abstract_inverted_index":{"Short-term":[0],"traffic":[1,73,100,107,181],"prediction":[2,166,211,216],"is":[3,177],"one":[4],"of":[5,19],"the":[6,23,31,40,59,82,117,130,144,165,169,191,197,202,205,210,214],"most":[7,56],"important":[8],"elements":[9],"in":[10,39,58,84,121,134,190,204,213],"Intelligent":[11],"Transportation":[12],"Systems":[13],"(ITS).":[14],"Although":[15],"an":[16],"extensive":[17],"collection":[18],"state-of-the-art":[20],"methods":[21,156],"emerge,":[22],"well-established":[24],"approaches":[25],"require":[26],"stringent":[27],"assumptions":[28],"that":[29,196],"both":[30],"training":[32,53],"data":[33,36,80,131,183],"and":[34,46,49,51,70,78,151],"testing":[35],"must":[37],"be":[38,149,158],"same":[41],"feature":[42,60,109,146],"space":[43],"with":[44],"independent":[45],"identical":[47],"distribution":[48],"sufficient":[50,77],"representative":[52],"data,":[54],"including":[55],"features":[57,203],"space.":[61],"However,":[62],"due":[63],"to":[64,126,160,208],"systematic":[65],"measurement":[66],"error,":[67],"communication":[68],"problems,":[69],"device":[71],"failure,":[72],"sensors":[74],"cannot":[75],"provide":[76],"erroneous-free":[79],"all":[81],"time":[83],"practice.":[85],"To":[86],"address":[87],"this":[88,90],"challenge,":[89],"paper":[91],"proposes":[92],"a":[93,142],"feature-based":[94],"domain":[95,136,174,207],"adaptation":[96,175],"framework":[97,104,176,199],"for":[98,164],"short-term":[99],"prediction.":[101],"This":[102],"proposed":[103,173,198],"can":[105,148,157,200],"obtain":[106],"flow":[108,182],"representations":[110],"across":[111],"different":[112,122],"domains":[113,123],"(i.e.,":[114],"links),":[115],"where":[116],"marginal":[118],"probability":[119],"distributions":[120],"are":[124,137],"close":[125],"each":[127,135],"other,":[128],"while":[129],"structural":[132],"properties":[133],"adequately":[138],"preserved.":[139],"With":[140],"such":[141],"mapping,":[143],"cross-domain":[145],"set":[147],"created,":[150],"any":[152],"conventional":[153],"statistical":[154],"learning":[155],"applied":[159],"train":[161],"regression":[162],"models":[163],"task":[167],"on":[168],"target":[170,215],"links.":[171],"The":[172,193],"validated":[178],"by":[179],"using":[180],"collected":[184],"from":[185],"Inductive":[186],"Loop":[187],"Detectors":[188],"(ILD)":[189],"UK.":[192],"results":[194],"show":[195],"transfer":[201],"source":[206],"improve":[209],"performance":[212],"task.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
