{"id":"https://openalex.org/W4318050049","doi":"https://doi.org/10.3390/s23031345","title":"Young Novice Drivers\u2019 Cognitive Distraction Detection: Comparing Support Vector Machines and Random Forest Model of Vehicle Control Behavior","display_name":"Young Novice Drivers\u2019 Cognitive Distraction Detection: Comparing Support Vector Machines and Random Forest Model of Vehicle Control Behavior","publication_year":2023,"publication_date":"2023-01-25","ids":{"openalex":"https://openalex.org/W4318050049","doi":"https://doi.org/10.3390/s23031345","pmid":"https://pubmed.ncbi.nlm.nih.gov/36772384"},"language":"en","primary_location":{"id":"doi:10.3390/s23031345","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031345","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1345/pdf?version=1674648139","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/3/1345/pdf?version=1674648139","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102283680","display_name":"Qingwan Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]},{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingwan Xue","raw_affiliation_strings":["Beijing Key Laboratory of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China","Engineering Research Center of Catastrophic Prophylaxis and Treatment of Road & Traffic Safety of Ministry of Education, Changsha University of Science & Technology, Changsha 410114, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China","institution_ids":["https://openalex.org/I1456306"]},{"raw_affiliation_string":"Engineering Research Center of Catastrophic Prophylaxis and Treatment of Road & Traffic Safety of Ministry of Education, Changsha University of Science & Technology, Changsha 410114, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101558232","display_name":"Xingyue Wang","orcid":"https://orcid.org/0009-0006-2852-9290"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyue Wang","raw_affiliation_strings":["Beijing Key Laboratory of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052672374","display_name":"Yinghong Li","orcid":"https://orcid.org/0000-0003-3629-519X"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghong Li","raw_affiliation_strings":["Beijing Key Laboratory of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027639981","display_name":"Weiwei Guo","orcid":"https://orcid.org/0000-0001-5037-0972"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiwei Guo","raw_affiliation_strings":["Beijing Key Laboratory of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China","institution_ids":["https://openalex.org/I1456306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027639981"],"corresponding_institution_ids":["https://openalex.org/I1456306"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":5.1466,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.95444957,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"23","issue":"3","first_page":"1345","last_page":"1345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9904000163078308,"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"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/distraction","display_name":"Distraction","score":0.945893406867981},{"id":"https://openalex.org/keywords/distracted-driving","display_name":"Distracted driving","score":0.696894645690918},{"id":"https://openalex.org/keywords/driving-simulator","display_name":"Driving simulator","score":0.6804041266441345},{"id":"https://openalex.org/keywords/poison-control","display_name":"Poison control","score":0.5571554899215698},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5022797584533691},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4943389892578125},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4921075701713562},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.48440104722976685},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47991833090782166},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.47113460302352905},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.45819979906082153},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4298974871635437},{"id":"https://openalex.org/keywords/longitudinal-study","display_name":"Longitudinal study","score":0.4271584451198578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4015931487083435},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.20753294229507446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1640898585319519},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10067301988601685},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.09268248081207275}],"concepts":[{"id":"https://openalex.org/C2776378700","wikidata":"https://www.wikidata.org/wiki/Q3030775","display_name":"Distraction","level":2,"score":0.945893406867981},{"id":"https://openalex.org/C2776465824","wikidata":"https://www.wikidata.org/wiki/Q5283083","display_name":"Distracted driving","level":3,"score":0.696894645690918},{"id":"https://openalex.org/C2780689630","wikidata":"https://www.wikidata.org/wiki/Q2081815","display_name":"Driving simulator","level":2,"score":0.6804041266441345},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.5571554899215698},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5022797584533691},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4943389892578125},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4921075701713562},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.48440104722976685},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47991833090782166},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.47113460302352905},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.45819979906082153},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4298974871635437},{"id":"https://openalex.org/C2777895361","wikidata":"https://www.wikidata.org/wiki/Q1758614","display_name":"Longitudinal study","level":2,"score":0.4271584451198578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4015931487083435},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.20753294229507446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1640898585319519},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10067301988601685},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.09268248081207275},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000063","descriptor_name":"Accidents, Traffic","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false},{"descriptor_ui":"D000063","descriptor_name":"Accidents, Traffic","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false},{"descriptor_ui":"D000063","descriptor_name":"Accidents, Traffic","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false},{"descriptor_ui":"D000063","descriptor_name":"Accidents, Traffic","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false},{"descriptor_ui":"D000071826","descriptor_name":"Distracted Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000071826","descriptor_name":"Distracted Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000071826","descriptor_name":"Distracted Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000071826","descriptor_name":"Distracted Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000093743","descriptor_name":"Random Forest","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000093743","descriptor_name":"Random Forest","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000093743","descriptor_name":"Random Forest","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000093743","descriptor_name":"Random Forest","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003071","descriptor_name":"Cognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003071","descriptor_name":"Cognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003071","descriptor_name":"Cognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003071","descriptor_name":"Cognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s23031345","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031345","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1345/pdf?version=1674648139","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36772384","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36772384","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9920207","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9920207","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9920207/pdf/sensors-23-01345.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:5c3c995c627d4452b7b3d80c101a0ad9","is_oa":true,"landing_page_url":"https://doaj.org/article/5c3c995c627d4452b7b3d80c101a0ad9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 3, p 1345 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/3/1345/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23031345","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 3; Pages: 1345","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23031345","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031345","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1345/pdf?version=1674648139","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4318050049.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W52805938","https://openalex.org/W162583403","https://openalex.org/W616614584","https://openalex.org/W1503529700","https://openalex.org/W1983561474","https://openalex.org/W1984991029","https://openalex.org/W1996031526","https://openalex.org/W1998807199","https://openalex.org/W2004511058","https://openalex.org/W2009193978","https://openalex.org/W2026291954","https://openalex.org/W2030808768","https://openalex.org/W2041775463","https://openalex.org/W2047150210","https://openalex.org/W2050733302","https://openalex.org/W2059106952","https://openalex.org/W2059303722","https://openalex.org/W2066074450","https://openalex.org/W2094150432","https://openalex.org/W2113323662","https://openalex.org/W2121783279","https://openalex.org/W2133658999","https://openalex.org/W2135896612","https://openalex.org/W2140856490","https://openalex.org/W2150917813","https://openalex.org/W2152136234","https://openalex.org/W2156171917","https://openalex.org/W2166880842","https://openalex.org/W2483396831","https://openalex.org/W2502648413","https://openalex.org/W2586996035","https://openalex.org/W2622397598","https://openalex.org/W2757336763","https://openalex.org/W2767769513","https://openalex.org/W2795547633","https://openalex.org/W2883233325","https://openalex.org/W2894989689","https://openalex.org/W2909743918","https://openalex.org/W2911964244","https://openalex.org/W2975919096","https://openalex.org/W3017007498","https://openalex.org/W3048208404","https://openalex.org/W3196007291","https://openalex.org/W4243370936","https://openalex.org/W6606611182","https://openalex.org/W6630024470"],"related_works":["https://openalex.org/W626594146","https://openalex.org/W2051187670","https://openalex.org/W2891960815","https://openalex.org/W2946368029","https://openalex.org/W3134108314","https://openalex.org/W2058597075","https://openalex.org/W2083853826","https://openalex.org/W2143855856","https://openalex.org/W4383901024","https://openalex.org/W2029007596"],"abstract_inverted_index":{"The":[0],"use":[1],"of":[2,8,70,82,184,191,226,235],"mobile":[3],"phones":[4],"has":[5],"become":[6],"one":[7],"the":[9,55,68,77,97,150,157,166,170,181,202,213,223],"major":[10],"threats":[11],"to":[12,37,52,65,89,200],"road":[13],"safety,":[14,63],"especially":[15],"in":[16,49,161,204,217],"young":[17,74],"novice":[18],"drivers.":[19],"To":[20],"avoid":[21],"crashes":[22],"induced":[23],"by":[24],"distraction,":[25],"adaptive":[26],"distraction":[27,41],"mitigation":[28],"systems":[29],"have":[30],"been":[31],"developed":[32],"that":[33,149,190],"can":[34,220],"determine":[35],"how":[36],"detect":[38],"a":[39],"driver's":[40],"state.":[42],"A":[43,80],"driving":[44,78,114,118,236],"simulator":[45],"experiment":[46],"was":[47,104,109,187],"conducted":[48,110],"this":[50,218],"paper":[51,219],"better":[53,66,188],"explore":[54],"relationship":[56],"between":[57],"drivers'":[58],"cognitive":[59],"distractions":[60],"and":[61,64,87,106,116,131,134,142,178,228],"traffic":[62],"analyze":[67],"mechanism":[69],"distracting":[71],"effects":[72],"on":[73,111],"drivers":[75,196,227],"during":[76],"process.":[79],"total":[81],"36":[83],"participants":[84],"were":[85,137,209],"recruited":[86],"asked":[88],"complete":[90],"an":[91,107],"n-back":[92],"memory":[93],"task":[94],"while":[95],"following":[96],"lead":[98],"vehicle.":[99],"Drivers'":[100],"vehicle":[101,203],"control":[102,201,233],"behavior":[103],"collected,":[105],"ANOVA":[108],"both":[112,140,176],"lateral":[113,125,133,177,185,205],"performance":[115],"longitudinal":[117,128,135,179,192],"performance.":[119],"Indicators":[120],"from":[121],"three":[122],"aspects,":[123,163],"i.e.,":[124],"indicators":[126,129,186],"only,":[127,130],"combined":[132],"indicators,":[136,180,193],"inputted":[138],"into":[139],"SVM":[141,151],"random":[143,158],"forest":[144,159],"models,":[145],"respectively.":[146],"Results":[147],"demonstrated":[148],"model":[152,160,215],"with":[153],"parameter":[154,172],"optimization":[155,173],"outperformed":[156],"all":[162],"among":[164],"which":[165],"genetic":[167],"algorithm":[168],"had":[169],"best":[171],"effect.":[174],"For":[175],"identification":[182],"effect":[183],"than":[189],"probably":[194],"because":[195],"are":[197],"more":[198],"inclined":[199],"operation":[206],"when":[207],"they":[208],"cognitively":[210],"distracted.":[211],"Overall,":[212],"comprehensive":[214],"built":[216],"effectively":[221],"identify":[222],"distracted":[224],"state":[225],"provide":[229],"theoretical":[230],"support":[231],"for":[232],"strategies":[234],"distraction.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}
