{"id":"https://openalex.org/W4321504724","doi":"https://doi.org/10.1007/978-3-031-26438-2_8","title":"A Machine Learning Approach for Modeling and Analyzing of Driver Performance in Simulated Racing","display_name":"A Machine Learning Approach for Modeling and Analyzing of Driver Performance in Simulated Racing","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4321504724","doi":"https://doi.org/10.1007/978-3-031-26438-2_8"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-26438-2_8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-26438-2_8","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-26438-2_8.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-26438-2_8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048009595","display_name":"Fazilat Hojaji","orcid":"https://orcid.org/0000-0002-8866-0278"},"institutions":[{"id":"https://openalex.org/I230495080","display_name":"University of Limerick","ror":"https://ror.org/00a0n9e72","country_code":"IE","type":"education","lineage":["https://openalex.org/I230495080"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Fazilat Hojaji","raw_affiliation_strings":["Esports Science Research Lab, Lero Irish Software Research Centre, University of Limerick, Limerick, Ireland"],"raw_orcid":"https://orcid.org/0000-0002-8866-0278","affiliations":[{"raw_affiliation_string":"Esports Science Research Lab, Lero Irish Software Research Centre, University of Limerick, Limerick, Ireland","institution_ids":["https://openalex.org/I230495080"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052464447","display_name":"Adam J. Toth","orcid":"https://orcid.org/0000-0003-2193-0138"},"institutions":[{"id":"https://openalex.org/I230495080","display_name":"University of Limerick","ror":"https://ror.org/00a0n9e72","country_code":"IE","type":"education","lineage":["https://openalex.org/I230495080"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Adam J. Toth","raw_affiliation_strings":["Esports Science Research Lab, Lero Irish Software Research Centre, University of Limerick, Limerick, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Esports Science Research Lab, Lero Irish Software Research Centre, University of Limerick, Limerick, Ireland","institution_ids":["https://openalex.org/I230495080"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054023805","display_name":"Mark J. Campbell","orcid":"https://orcid.org/0000-0001-9607-7675"},"institutions":[{"id":"https://openalex.org/I230495080","display_name":"University of Limerick","ror":"https://ror.org/00a0n9e72","country_code":"IE","type":"education","lineage":["https://openalex.org/I230495080"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Mark J. Campbell","raw_affiliation_strings":["Esports Science Research Lab, Lero Irish Software Research Centre, University of Limerick, Limerick, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Esports Science Research Lab, Lero Irish Software Research Centre, University of Limerick, Limerick, Ireland","institution_ids":["https://openalex.org/I230495080"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048009595"],"corresponding_institution_ids":["https://openalex.org/I230495080"],"apc_list":null,"apc_paid":null,"fwci":2.5135,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.87606197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"95","last_page":"105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9713000059127808,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9458000063896179,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/random-forest","display_name":"Random forest","score":0.7495885491371155},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7258175611495972},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7232061624526978},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.703251838684082},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6847288608551025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6619962453842163},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5337838530540466},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5261161923408508},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.48828959465026855},{"id":"https://openalex.org/keywords/amateur","display_name":"Amateur","score":0.4690081775188446},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4665021300315857},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4288032650947571},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32875603437423706}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7495885491371155},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7258175611495972},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7232061624526978},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.703251838684082},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6847288608551025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6619962453842163},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5337838530540466},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5261161923408508},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.48828959465026855},{"id":"https://openalex.org/C2778044066","wikidata":"https://www.wikidata.org/wiki/Q455595","display_name":"Amateur","level":2,"score":0.4690081775188446},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4665021300315857},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4288032650947571},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32875603437423706},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":3,"locations":[{"id":"doi:10.1007/978-3-031-26438-2_8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-26438-2_8","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-26438-2_8.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},{"id":"pmh:oai:figshare.com:article/25213067","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/A_machine_learning_approach_for_modeling_and_analyzing_of_driver_performance_in_simulated_racing/25213067","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-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.34961/researchrepository-ul.25213067.v1","is_oa":true,"landing_page_url":"https://doi.org/10.34961/researchrepository-ul.25213067.v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401529","display_name":"University of Limerick Institutional Repository (University of Limerick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I230495080","host_organization_name":"University of Limerick","host_organization_lineage":["https://openalex.org/I230495080"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-26438-2_8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-26438-2_8","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-26438-2_8.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4321504724.pdf"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W2036216970","https://openalex.org/W2053945215","https://openalex.org/W2604547932","https://openalex.org/W2767676582","https://openalex.org/W2791315675","https://openalex.org/W2905012744","https://openalex.org/W2931272628","https://openalex.org/W2981956122","https://openalex.org/W2984432074","https://openalex.org/W3026068379","https://openalex.org/W3089921755","https://openalex.org/W3091873932","https://openalex.org/W3126641549","https://openalex.org/W3129733579","https://openalex.org/W3167189836","https://openalex.org/W3185030651","https://openalex.org/W4206098878","https://openalex.org/W4281688812","https://openalex.org/W4284691240","https://openalex.org/W6869608176"],"related_works":["https://openalex.org/W2073883415","https://openalex.org/W4388745254","https://openalex.org/W2980082554","https://openalex.org/W2767419625","https://openalex.org/W2145188897","https://openalex.org/W2905156999","https://openalex.org/W2389704471","https://openalex.org/W1517228774","https://openalex.org/W4229460275","https://openalex.org/W2117019857"],"abstract_inverted_index":{"Abstract":[0],"The":[1,177],"emerging":[2],"progress":[3],"of":[4,28,52,77,143,148,183],"esports":[5,19,39],"lacks":[6],"the":[7,26,38,68,84,87,104,111,116,125,155,160,168,173,180],"approaches":[8],"for":[9],"ensuring":[10],"high-quality":[11],"analytics":[12],"and":[13,17,32,67,97,134,165,198],"training":[14],"in":[15,37,42],"professional":[16],"amateur":[18],"teams.":[20],"In":[21],"this":[22],"paper,":[23],"we":[24,48],"demonstrated":[25],"application":[27],"Artificial":[29],"Intelligence":[30],"(AI)":[31],"Machine":[33,128],"Learning":[34],"(ML)":[35],"approach":[36],"domain,":[40],"particularly":[41],"simulated":[43,70],"racing.":[44],"To":[45,114],"achieve":[46],"this,":[47],"gathered":[49],"a":[50,75,100,146],"variety":[51],"feature-rich":[53],"telemetry":[54,65],"data":[55],"from":[56],"several":[57],"web":[58],"sources":[59],"that":[60,106],"was":[61],"captured":[62],"through":[63],"MoTec":[64],"software":[66],"ACC":[69],"racing":[71,196],"game.":[72],"We":[73],"performed":[74],"number":[76],"analyses":[78],"using":[79],"ML":[80],"algorithms":[81],"to":[82,185,190],"classify":[83],"laps":[85],"into":[86],"performance":[88,95],"levels,":[89,96],"evaluating":[90],"driving":[91],"behaviors":[92],"along":[93],"these":[94],"finally":[98],"defined":[99],"prediction":[101],"model":[102],"highlighting":[103],"channels/features":[105],"have":[107,138],"significant":[108],"impact":[109],"on":[110],"driver":[112],"performance.":[113],"identify":[115],"optimal":[117],"feature":[118,121,157],"set,":[119],"three":[120],"selection":[122],"algorithms,":[123],"i.e.,":[124],"Support":[126],"Vector":[127],"(SVM),":[129],"Extreme":[130],"Gradient":[131],"Boosting":[132],"(XGBoost)":[133],"Random":[135],"Forest":[136],"(RF)":[137],"been":[139,152],"applied":[140],"where":[141],"out":[142],"84":[144],"features,":[145],"subset":[147],"10":[149],"features":[150],"has":[151],"selected":[153],"as":[154],"best":[156],"subset.":[158],"For":[159],"classification,":[161],"XGBoost":[162],"outperformed":[163],"RF":[164],"SVM":[166],"with":[167],"highest":[169],"accuracy":[170],"score":[171],"among":[172],"other":[174],"evaluated":[175],"models.":[176],"study":[178],"highlights":[179],"promising":[181],"use":[182],"AI":[184],"categorize":[186],"sim":[187,195],"racers":[188],"according":[189],"their":[191],"technical-tactical":[192],"behaviour,":[193],"enhancing":[194],"knowledge":[197],"know":[199],"how.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}