{"id":"https://openalex.org/W2892806877","doi":"https://doi.org/10.1109/tsmc.2018.2871416","title":"New Driver Workload Prediction Using Clustering-Aided Approaches","display_name":"New Driver Workload Prediction Using Clustering-Aided Approaches","publication_year":2018,"publication_date":"2018-10-09","ids":{"openalex":"https://openalex.org/W2892806877","doi":"https://doi.org/10.1109/tsmc.2018.2871416","mag":"2892806877"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2018.2871416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2018.2871416","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dspace.lboro.ac.uk/2134/35036","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036004635","display_name":"Dewei Yi","orcid":"https://orcid.org/0000-0003-1702-9136"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Dewei Yi","raw_affiliation_strings":["Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough, U.K","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001081849","display_name":"Jinya Su","orcid":"https://orcid.org/0000-0002-3121-7208"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jinya Su","raw_affiliation_strings":["Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough, U.K","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021774274","display_name":"Cunjia Liu","orcid":"https://orcid.org/0000-0003-2829-9369"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Cunjia Liu","raw_affiliation_strings":["Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough, U.K","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100428822","display_name":"Wen\u2010Hua Chen","orcid":"https://orcid.org/0000-0003-3356-2889"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wen-Hua Chen","raw_affiliation_strings":["Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough, U.K","institution_ids":["https://openalex.org/I143804889"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036004635"],"corresponding_institution_ids":["https://openalex.org/I143804889"],"apc_list":null,"apc_paid":null,"fwci":1.9434,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.85632094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"49","issue":"1","first_page":"64","last_page":"70"},"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9951000213623047,"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/T10370","display_name":"Traffic and Road Safety","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/workload","display_name":"Workload","score":0.8434736728668213},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8428738713264465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6801101565361023},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5708521604537964},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.450590044260025},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4375686049461365},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.43003422021865845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38681185245513916},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10938015580177307},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06422340869903564}],"concepts":[{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.8434736728668213},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8428738713264465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6801101565361023},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5708521604537964},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.450590044260025},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4375686049461365},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.43003422021865845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38681185245513916},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10938015580177307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06422340869903564},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsmc.2018.2871416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2018.2871416","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"},{"id":"pmh:oai:dspace.lboro.ac.uk:2134/35036","is_oa":true,"landing_page_url":"https://dspace.lboro.ac.uk/2134/35036","pdf_url":null,"source":{"id":"https://openalex.org/S4306401023","display_name":"Loughborough University Institutional Repository (Loughborough University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I143804889","host_organization_name":"Loughborough University","host_organization_lineage":["https://openalex.org/I143804889"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:figshare.com:article/9223643","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/New_driver_workload_prediction_using_clustering-aided_approaches/9223643","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:dspace.lboro.ac.uk:2134/35036","is_oa":true,"landing_page_url":"https://dspace.lboro.ac.uk/2134/35036","pdf_url":null,"source":{"id":"https://openalex.org/S4306401023","display_name":"Loughborough University Institutional Repository (Loughborough University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I143804889","host_organization_name":"Loughborough University","host_organization_lineage":["https://openalex.org/I143804889"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5699999928474426,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G6103793051","display_name":"Towards More Autonomy for Unmanned Vehicles: Situational Awareness and Decision Making under Uncertainty","funder_award_id":"EP/J011525/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6445463004","display_name":null,"funder_award_id":"EP/J011525/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1489537150","https://openalex.org/W1570448133","https://openalex.org/W1594031697","https://openalex.org/W1970433553","https://openalex.org/W1983561474","https://openalex.org/W2016544456","https://openalex.org/W2035752184","https://openalex.org/W2053677366","https://openalex.org/W2069929199","https://openalex.org/W2072249119","https://openalex.org/W2079359777","https://openalex.org/W2085487226","https://openalex.org/W2097009900","https://openalex.org/W2108196201","https://openalex.org/W2117561707","https://openalex.org/W2136504847","https://openalex.org/W2154053567","https://openalex.org/W2164215987","https://openalex.org/W2171801645","https://openalex.org/W2172717914","https://openalex.org/W2190194936","https://openalex.org/W2308230922","https://openalex.org/W2330918716","https://openalex.org/W2466512847","https://openalex.org/W2563641137","https://openalex.org/W2589859332","https://openalex.org/W2594323454","https://openalex.org/W2678612607","https://openalex.org/W2730647291","https://openalex.org/W2770641139","https://openalex.org/W2771289139","https://openalex.org/W2962741536","https://openalex.org/W2962755847","https://openalex.org/W2964172739","https://openalex.org/W3085162807","https://openalex.org/W3142517368","https://openalex.org/W3191210297","https://openalex.org/W4211049957","https://openalex.org/W4242841269","https://openalex.org/W6677764299","https://openalex.org/W6680140577","https://openalex.org/W6730295902"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W1969346022","https://openalex.org/W2034959125","https://openalex.org/W2355687852"],"abstract_inverted_index":{"Awareness":[0],"of":[1,72,114],"driver":[2],"workload":[3,154],"(DW)":[4],"plays":[5],"a":[6,43,53],"paramount":[7],"role":[8],"in":[9],"enhancing":[10],"driving":[11,127],"safety":[12],"and":[13],"convenience":[14],"for":[15,56,94],"intelligent":[16],"vehicles.":[17],"The":[18,83,103],"DW":[19],"prediction":[20,155],"systems":[21],"proposed":[22,150],"so":[23],"far":[24],"learn":[25],"either":[26,46],"from":[27,125],"individual":[28],"driver's":[29],"data":[30,37],"(termed":[31,39],"personalized":[32],"system)":[33],"or":[34,50],"existing":[35,74],"drivers'":[36,75],"indiscriminately":[38],"average":[40,140],"system).":[41],"As":[42],"result,":[44],"they":[45],"do":[47],"not":[48],"work":[49],"lead":[51],"to":[52,120,131],"limited":[54],"performance":[55],"new":[57],"drivers":[58],"without":[59],"labeled":[60],"data.":[61,76],"To":[62],"this":[63],"end,":[64],"we":[65],"develop":[66],"clustering-aided":[67,86,106],"approaches":[68,151],"exploiting":[69],"group":[70],"characteristics":[71],"the":[73,91,95,98,112,133,138,149],"Two":[77],"clustering":[78,146],"aided":[79],"predictors":[80],"are":[81],"proposed.":[82],"first":[84],"is":[85,101,105,117,129],"regression":[87,92,109],"(CAR)":[88],"model,":[89,110],"where":[90,111],"model":[93,108],"cluster":[96],"with":[97],"highest":[99],"likelihood":[100],"adopted.":[102],"second":[104],"multiple":[107,115],"concept":[113],"models":[116],"further":[118],"augmented":[119],"CAR.":[121],"A":[122],"recent":[123],"dataset":[124],"real-world":[126],"experiments":[128],"adopted":[130],"validate":[132],"algorithms.":[134],"Comparative":[135],"results":[136],"against":[137],"conventional":[139],"system":[141],"demonstrate":[142],"that":[143],"by":[144],"incorporating":[145],"information,":[147],"both":[148],"significantly":[152],"improve":[153],"performance.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":7}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}