{"id":"https://openalex.org/W3164522113","doi":"https://doi.org/10.1109/access.2021.3083412","title":"AST-MTL: An Attention-Based Multi-Task Learning Strategy for Traffic Forecasting","display_name":"AST-MTL: An Attention-Based Multi-Task Learning Strategy for Traffic Forecasting","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3164522113","doi":"https://doi.org/10.1109/access.2021.3083412","mag":"3164522113"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3083412","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3083412","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09439877.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09439877.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002781387","display_name":"Giovanni Buroni","orcid":"https://orcid.org/0000-0003-2074-7673"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Giovanni Buroni","raw_affiliation_strings":["Machine Learning Group, ULB, Bruxelles, Belgium","Machine Learning Group, ULB, 1050 Bruxelles, Belgium"],"affiliations":[{"raw_affiliation_string":"Machine Learning Group, ULB, Bruxelles, Belgium","institution_ids":[]},{"raw_affiliation_string":"Machine Learning Group, ULB, 1050 Bruxelles, Belgium","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035524518","display_name":"Bertrand Lebichot","orcid":"https://orcid.org/0000-0003-2188-0118"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Bertrand Lebichot","raw_affiliation_strings":["Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg City, Luxembourg","Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg City L-1359, Luxembourg"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg City, Luxembourg","institution_ids":["https://openalex.org/I186903577"]},{"raw_affiliation_string":"Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg City L-1359, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072869049","display_name":"Gianluca Bontempi","orcid":"https://orcid.org/0000-0001-8621-316X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gianluca Bontempi","raw_affiliation_strings":["Machine Learning Group, ULB, Bruxelles, Belgium","Machine Learning Group, ULB, 1050 Bruxelles, Belgium"],"affiliations":[{"raw_affiliation_string":"Machine Learning Group, ULB, Bruxelles, Belgium","institution_ids":[]},{"raw_affiliation_string":"Machine Learning Group, ULB, 1050 Bruxelles, Belgium","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002781387"],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.8205,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.83231677,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"77359","last_page":"77370"},"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":0.9933000206947327,"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":0.9904000163078308,"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":0.8052759170532227},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5337802767753601},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5287779569625854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49712565541267395},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.4815395474433899},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.4759663939476013},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.44904154539108276},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43968743085861206},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43645501136779785},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.43594563007354736},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42075392603874207},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32241660356521606},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.23867371678352356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8052759170532227},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5337802767753601},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5287779569625854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49712565541267395},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.4815395474433899},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.4759663939476013},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44904154539108276},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43968743085861206},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43645501136779785},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.43594563007354736},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42075392603874207},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32241660356521606},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.23867371678352356},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2021.3083412","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3083412","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09439877.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:dipot.ulb.ac.be:2013/326786","is_oa":true,"landing_page_url":"http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/326786","pdf_url":null,"source":{"id":"https://openalex.org/S4306401063","display_name":"D\u00e9p\u00f4t institutionnel de l'Universit\u00e9 libre de Bruxelles (Universit\u00e9 Libre de Bruxelles)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I132053463","host_organization_name":"Universit\u00e9 Libre de Bruxelles","host_organization_lineage":["https://openalex.org/I132053463"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE access","raw_type":"info:ulb-repo/semantics/openurl/article"},{"id":"pmh:oai:doaj.org/article:61b4955a28a2485c8dc9175f13533c5c","is_oa":true,"landing_page_url":"https://doaj.org/article/61b4955a28a2485c8dc9175f13533c5c","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 77359-77370 (2021)","raw_type":"article"},{"id":"pmh:oai:orbilu.uni.lu:10993/49393","is_oa":true,"landing_page_url":"http://orbilu.uni.lu/handle/10993/49393","pdf_url":null,"source":{"id":"https://openalex.org/S4306401815","display_name":"Open Repository and Bibliography (University of Luxembourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I186903577","host_organization_name":"University of Luxembourg","host_organization_lineage":["https://openalex.org/I186903577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null}],"best_oa_location":{"id":"doi:10.1109/access.2021.3083412","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3083412","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09439877.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3164522113.pdf","grobid_xml":"https://content.openalex.org/works/W3164522113.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W76515106","https://openalex.org/W1924770834","https://openalex.org/W2016210396","https://openalex.org/W2036785686","https://openalex.org/W2042506099","https://openalex.org/W2064675550","https://openalex.org/W2097443710","https://openalex.org/W2107878631","https://openalex.org/W2165991108","https://openalex.org/W2392708022","https://openalex.org/W2519887557","https://openalex.org/W2549766072","https://openalex.org/W2572939427","https://openalex.org/W2575125657","https://openalex.org/W2756296971","https://openalex.org/W2781156794","https://openalex.org/W2782791108","https://openalex.org/W2799109291","https://openalex.org/W2901504064","https://openalex.org/W2913340405","https://openalex.org/W2942392852","https://openalex.org/W2945482421","https://openalex.org/W2945565259","https://openalex.org/W2963271116","https://openalex.org/W2963358464","https://openalex.org/W2963403868","https://openalex.org/W2963495494","https://openalex.org/W2964199361","https://openalex.org/W2968911474","https://openalex.org/W2969724595","https://openalex.org/W2970631142","https://openalex.org/W2971113110","https://openalex.org/W2975043431","https://openalex.org/W2996331899","https://openalex.org/W3021728802","https://openalex.org/W3027983943","https://openalex.org/W3034749137","https://openalex.org/W3087549734","https://openalex.org/W3098161317","https://openalex.org/W3142454941","https://openalex.org/W6640212811","https://openalex.org/W6659849045","https://openalex.org/W6674683336","https://openalex.org/W6726186668","https://openalex.org/W6726873649","https://openalex.org/W6739901393","https://openalex.org/W6746015598","https://openalex.org/W6747337883","https://openalex.org/W6764679822","https://openalex.org/W6767098519","https://openalex.org/W6767220000","https://openalex.org/W6771603238","https://openalex.org/W6783292247"],"related_works":["https://openalex.org/W2587362999","https://openalex.org/W432084041","https://openalex.org/W2986732134","https://openalex.org/W2394010358","https://openalex.org/W2361078351","https://openalex.org/W2163239346","https://openalex.org/W4239349137","https://openalex.org/W1463884142","https://openalex.org/W2963251637","https://openalex.org/W239469043"],"abstract_inverted_index":{"Road":[0],"traffic":[1,42,60,115,130,148],"forecasting":[2,149],"is":[3,15,31],"crucial":[4],"in":[5,132],"Intelligent":[6],"Transportation":[7],"Systems":[8],"(ITS).":[9],"To":[10],"achieve":[11],"accurate":[12],"results,":[13],"it":[14],"necessary":[16],"to":[17,54,83,107,128],"model":[18,92,143],"the":[19,23,35,59,65,95,101,109,133],"dynamic":[20],"nature":[21],"and":[22,62,78,100,111,135,155],"complex":[24],"non-linear":[25],"dependencies":[26],"governing":[27],"traffic.":[28],"The":[29,69,91,138],"goal":[30],"particularly":[32],"challenging":[33],"when":[34],"prediction":[36,131],"involves":[37],"more":[38],"than":[39],"just":[40],"one":[41],"variable.":[43],"This":[44],"paper":[45],"proposes":[46],"a":[47,72,79],"novel":[48],"multi-task":[49],"learning":[50],"model,":[51],"called":[52,125],"AST-MTL,":[53],"perform":[55,129,146],"multi-horizon":[56,147],"predictions":[57],"of":[58,114,122,153],"flow":[61],"speed":[63],"at":[64],"road":[66],"network":[67,76,98,105],"scale.":[68],"strategy":[70],"combines":[71],"multilayer":[73],"fully-connected":[74],"neural":[75],"(FNN)":[77],"multi-head":[80],"attention":[81],"mechanism":[82],"learn":[84],"related":[85],"tasks":[86],"while":[87],"improving":[88],"generalization":[89],"performance.":[90],"also":[93],"includes":[94],"graph":[96],"convolutional":[97],"(GCNs)":[99],"gated":[102],"recurrent":[103],"unit":[104],"(GRUs)":[106],"extract":[108],"spatial":[110],"temporal":[112],"features":[113],"conditions.":[116],"Our":[117],"experiments":[118],"employ":[119],"new":[120],"sets":[121],"GPS":[123],"data,":[124,127],"OBU":[126],"freeway":[134],"urban":[136],"contexts.":[137],"experimental":[139],"results":[140],"prove":[141],"our":[142],"can":[144],"effectively":[145],"for":[150],"different":[151],"types":[152],"roads":[154],"outperform":[156],"state-of-the-art":[157],"models.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
