{"id":"https://openalex.org/W4393079576","doi":"https://doi.org/10.1109/access.2024.3380825","title":"A Takeover Risk Assessment Approach Based on an Improved ANP-XGBoost Algorithm for Human\u2013Machine Driven Vehicles","display_name":"A Takeover Risk Assessment Approach Based on an Improved ANP-XGBoost Algorithm for Human\u2013Machine Driven Vehicles","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4393079576","doi":"https://doi.org/10.1109/access.2024.3380825"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3380825","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3380825","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10477987.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":null,"license_id":null,"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/ielx7/6287639/6514899/10477987.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101900533","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0002-1386-9587"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["Guangxi Key Laboratory of Intelligent Transportation System, Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Intelligent Transportation System, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037221704","display_name":"Yaxi Han","orcid":"https://orcid.org/0000-0002-0611-8654"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaxi Han","raw_affiliation_strings":["Guangxi Key Laboratory of Intelligent Transportation System, Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":"https://orcid.org/0000-0002-0611-8654","affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Intelligent Transportation System, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030643443","display_name":"Wenyong Li","orcid":"https://orcid.org/0000-0003-3795-5997"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyong Li","raw_affiliation_strings":["Guangxi Key Laboratory of Intelligent Transportation System, Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":"https://orcid.org/0000-0003-3795-5997","affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Intelligent Transportation System, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067689382","display_name":"Xiaofei Ye","orcid":"https://orcid.org/0000-0001-8795-4955"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofei Ye","raw_affiliation_strings":["Faculty of Maritime and Transportation, Ningbo University, Ningbo, China","Faculty of Maritime and Transportation, Ningbo University, Fenghua Road 818#, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0001-8795-4955","affiliations":[{"raw_affiliation_string":"Faculty of Maritime and Transportation, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Faculty of Maritime and Transportation, Ningbo University, Fenghua Road 818#, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100742301","display_name":"Quan Yuan","orcid":"https://orcid.org/0000-0002-5163-2951"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Yuan","raw_affiliation_strings":["State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.4147,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.91669932,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"48379","last_page":"48387"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9968000054359436,"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":0.9968000054359436,"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/T11357","display_name":"Risk and Safety Analysis","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6753827333450317},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46534597873687744},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36038970947265625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3511180877685547}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6753827333450317},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46534597873687744},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36038970947265625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3511180877685547}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3380825","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3380825","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10477987.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e1604a94c6844641a4a3398cc43b4c4d","is_oa":true,"landing_page_url":"https://doaj.org/article/e1604a94c6844641a4a3398cc43b4c4d","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":"IEEE Access, Vol 12, Pp 48379-48387 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3380825","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3380825","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10477987.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G1433285885","display_name":null,"funder_award_id":"52262047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3845996116","display_name":null,"funder_award_id":"2020GXNSFAA159153","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G4733280032","display_name":null,"funder_award_id":"AD20159035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6603938119","display_name":null,"funder_award_id":"AD20159035","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G7656997053","display_name":null,"funder_award_id":"52072214","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8157423020","display_name":null,"funder_award_id":"2020GXNSFAA159153","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null},{"id":"https://openalex.org/F4320323266","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42"},{"id":"https://openalex.org/F4320337368","display_name":"Division of Graduate Education","ror":"https://ror.org/00whkrf32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393079576.pdf","grobid_xml":"https://content.openalex.org/works/W4393079576.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1503953508","https://openalex.org/W2071467138","https://openalex.org/W2600222115","https://openalex.org/W2652415919","https://openalex.org/W2770450151","https://openalex.org/W2792293413","https://openalex.org/W2793425099","https://openalex.org/W2799397126","https://openalex.org/W2802084971","https://openalex.org/W2911178417","https://openalex.org/W2919958447","https://openalex.org/W2920919283","https://openalex.org/W2943527661","https://openalex.org/W2947652593","https://openalex.org/W2947666609","https://openalex.org/W2974856122","https://openalex.org/W2982381485","https://openalex.org/W2983185323","https://openalex.org/W2997389977","https://openalex.org/W3006628145","https://openalex.org/W3031317513","https://openalex.org/W3110959186","https://openalex.org/W3131316714","https://openalex.org/W3148257878","https://openalex.org/W3157958660","https://openalex.org/W3172962727","https://openalex.org/W3173280915","https://openalex.org/W4212850421","https://openalex.org/W4220963510","https://openalex.org/W4223559499","https://openalex.org/W4229025007","https://openalex.org/W4280531523","https://openalex.org/W4281394078","https://openalex.org/W4284975688","https://openalex.org/W4285241471","https://openalex.org/W4297121059","https://openalex.org/W4297463969"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"This":[0],"study":[1,181],"evaluates":[2],"the":[3,16,61,72,91,96,100,105,110,114,118,123,127,134,159,183],"risk":[4,44,50,76,83,92,102,129,166,198],"level":[5,73,103,130],"of":[6,18,74,186],"human-machine":[7],"collaborative":[8,193],"driving":[9,29,194],"takeover":[10,23,39,75,82,101,119,128,139,150,187],"in":[11,117],"a":[12,28,31,80,146],"highway":[13],"environment":[14],"under":[15],"interaction":[17],"non-driving":[19,36,142],"related":[20,143],"tasks":[21,37,144],"and":[22,38,43,77,156,174,189],"request":[24],"prompt":[25],"scenarios.":[26],"Using":[27],"simulator,":[30],"5x5":[32],"factor":[33,116],"analysis":[34],"examined":[35],"prompts.":[40],"Takeover":[41],"impact":[42],"indicator":[45,93],"features":[46],"were":[47],"extracted,":[48],"with":[49,95,126,149,176],"indicators":[51],"weighted":[52],"using":[53],"an":[54],"improved":[55],"ANP":[56],"method.":[57],"On":[58],"this":[59,180],"basis,":[60],"XGBoost":[62,164],"algorithm":[63],"was":[64,104,161],"employed":[65],"to":[66,78],"identify":[67],"crucial":[68],"variables":[69],"that":[70,90],"reflect":[71],"construct":[79],"driver":[81,138],"assessment":[84,167],"model.":[85],"The":[86,163],"evaluation":[87],"results":[88],"indicate":[89],"feature":[94,121],"greatest":[97,135],"influence":[98,120,136,185],"on":[99,137,192],"minimum":[106,157,190],"TTC,":[107,158],"which":[108,132],"had":[109,122,133],"highest":[111,124],"correlation":[112,125,148],"(r=-0.81);":[113],"scene":[115],"(r=-0.78),":[131],"safety;":[140],"Although":[141],"exhibited":[145],"weak":[147],"reaction":[151,154],"time,":[152,155],"steering":[153],"effect":[160],"minor.":[162],"algorithm-based":[165],"model":[168],"demonstrated":[169],"superior":[170],"performance":[171],"over":[172],"LightGBM":[173],"SVM,":[175],"87.1%":[177],"accuracy.":[178],"Overall,":[179],"highlights":[182],"significant":[184],"scenes":[188],"TTC":[191],"risk,":[195],"enabling":[196],"accurate":[197],"modeling.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
