{"id":"https://openalex.org/W7125897552","doi":"https://doi.org/10.1109/smc58881.2025.11343377","title":"Real-Time Driving Risk Assessment Using LSTM-attention and XGBoost with Physiological and Driving Behavior Data","display_name":"Real-Time Driving Risk Assessment Using LSTM-attention and XGBoost with Physiological and Driving Behavior Data","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125897552","doi":"https://doi.org/10.1109/smc58881.2025.11343377"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11343377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052368579","display_name":"Yecan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yecan Wang","raw_affiliation_strings":["Honda R&#x0026;D Co., Ltd.,Saitama,Japan,351-0113"],"affiliations":[{"raw_affiliation_string":"Honda R&#x0026;D Co., Ltd.,Saitama,Japan,351-0113","institution_ids":["https://openalex.org/I1283473643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109688230","display_name":"Michele Guagnano","orcid":null},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Guagnano","raw_affiliation_strings":["Politecnico di Torino,Dip. Automatica e Informatica,Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Dip. Automatica e Informatica,Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124067432","display_name":"Hiroki Taniguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Taniguchi","raw_affiliation_strings":["Honda R&#x0026;D Co., Ltd.,Saitama,Japan,351-0113"],"affiliations":[{"raw_affiliation_string":"Honda R&#x0026;D Co., Ltd.,Saitama,Japan,351-0113","institution_ids":["https://openalex.org/I1283473643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120681676","display_name":"Nozomi Nagatani","orcid":null},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nozomi Nagatani","raw_affiliation_strings":["Honda R&#x0026;D Co., Ltd.,Saitama,Japan,351-0113"],"affiliations":[{"raw_affiliation_string":"Honda R&#x0026;D Co., Ltd.,Saitama,Japan,351-0113","institution_ids":["https://openalex.org/I1283473643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101562828","display_name":"Hiroshi Ono","orcid":"https://orcid.org/0000-0002-0572-8047"},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Ono","raw_affiliation_strings":["Honda R&#x0026;D Co., Ltd.,Saitama,Japan,351-0113"],"affiliations":[{"raw_affiliation_string":"Honda R&#x0026;D Co., Ltd.,Saitama,Japan,351-0113","institution_ids":["https://openalex.org/I1283473643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069270498","display_name":"Satoru Shinkawa","orcid":"https://orcid.org/0000-0003-2892-5892"},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoru Shinkawa","raw_affiliation_strings":["Honda R&#x0026;D Co., Ltd.,Saitama,Japan,351-0113"],"affiliations":[{"raw_affiliation_string":"Honda R&#x0026;D Co., Ltd.,Saitama,Japan,351-0113","institution_ids":["https://openalex.org/I1283473643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045403715","display_name":"Sumie Miyamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I158929114","display_name":"Tokyo Medical University","ror":"https://ror.org/00k5j5c86","country_code":"JP","type":"education","lineage":["https://openalex.org/I158929114"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sumie Miyamoto","raw_affiliation_strings":["the University of Tokyo,Department of Medical,Tokyo,Japan,113-8654"],"affiliations":[{"raw_affiliation_string":"the University of Tokyo,Department of Medical,Tokyo,Japan,113-8654","institution_ids":["https://openalex.org/I158929114"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003266554","display_name":"Eriko Hasumi","orcid":"https://orcid.org/0000-0003-1804-3466"},"institutions":[{"id":"https://openalex.org/I158929114","display_name":"Tokyo Medical University","ror":"https://ror.org/00k5j5c86","country_code":"JP","type":"education","lineage":["https://openalex.org/I158929114"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Eriko Hasumi","raw_affiliation_strings":["the University of Tokyo,Department of Medical,Tokyo,Japan,113-8654"],"affiliations":[{"raw_affiliation_string":"the University of Tokyo,Department of Medical,Tokyo,Japan,113-8654","institution_ids":["https://openalex.org/I158929114"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003165755","display_name":"Katsuhito Fujiu","orcid":"https://orcid.org/0000-0002-1889-9291"},"institutions":[{"id":"https://openalex.org/I158929114","display_name":"Tokyo Medical University","ror":"https://ror.org/00k5j5c86","country_code":"JP","type":"education","lineage":["https://openalex.org/I158929114"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsuhito Fujiu","raw_affiliation_strings":["the University of Tokyo,Department of Medical,Tokyo,Japan,113-8654"],"affiliations":[{"raw_affiliation_string":"the University of Tokyo,Department of Medical,Tokyo,Japan,113-8654","institution_ids":["https://openalex.org/I158929114"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121919838","display_name":"Madoka Takai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Madoka Takai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087219426","display_name":"M. Violante","orcid":"https://orcid.org/0000-0002-5821-3418"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimo Violante","raw_affiliation_strings":["Politecnico di Torino,Dip. Automatica e Informatica,Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Dip. Automatica e Informatica,Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124149838","display_name":"Shigenobu Mitsuzawa","orcid":null},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shigenobu Mitsuzawa","raw_affiliation_strings":["Honda R&#x0026;D Co., Ltd.,Saitama,Japan,351-0113"],"affiliations":[{"raw_affiliation_string":"Honda R&#x0026;D Co., Ltd.,Saitama,Japan,351-0113","institution_ids":["https://openalex.org/I1283473643"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5052368579"],"corresponding_institution_ids":["https://openalex.org/I1283473643"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.58368956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3468","last_page":"3474"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.2304999977350235,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.2304999977350235,"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"}},{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.227400004863739,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.11919999867677689,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.6470999717712402},{"id":"https://openalex.org/keywords/smartwatch","display_name":"Smartwatch","score":0.557699978351593},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5034999847412109},{"id":"https://openalex.org/keywords/risk-assessment","display_name":"Risk assessment","score":0.4311000108718872},{"id":"https://openalex.org/keywords/poison-control","display_name":"Poison control","score":0.3822000026702881},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3522000014781952},{"id":"https://openalex.org/keywords/driving-factors","display_name":"Driving factors","score":0.3174999952316284}],"concepts":[{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6470999717712402},{"id":"https://openalex.org/C29794715","wikidata":"https://www.wikidata.org/wiki/Q5362345","display_name":"Smartwatch","level":3,"score":0.557699978351593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5471000075340271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.546500027179718},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5034999847412109},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4392000138759613},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.4311000108718872},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.3822000026702881},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C2780083587","wikidata":"https://www.wikidata.org/wiki/Q5308081","display_name":"Driving factors","level":3,"score":0.3174999952316284},{"id":"https://openalex.org/C2779925283","wikidata":"https://www.wikidata.org/wiki/Q5216147","display_name":"Dangerous driving","level":2,"score":0.30630001425743103},{"id":"https://openalex.org/C2780689630","wikidata":"https://www.wikidata.org/wiki/Q2081815","display_name":"Driving simulator","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.271699994802475},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26249998807907104},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2619999945163727},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2540999948978424},{"id":"https://openalex.org/C166735990","wikidata":"https://www.wikidata.org/wiki/Q1750812","display_name":"Human factors and ergonomics","level":3,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11343377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.40026941895484924,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322832","display_name":"University of Tokyo","ror":"https://ror.org/057zh3y96"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W777066027","https://openalex.org/W2020403136","https://openalex.org/W2029352789","https://openalex.org/W2031614932","https://openalex.org/W2159924794","https://openalex.org/W2333777777","https://openalex.org/W2588083611","https://openalex.org/W2793297958","https://openalex.org/W2808134263","https://openalex.org/W2889034678","https://openalex.org/W2940710818","https://openalex.org/W2997958396","https://openalex.org/W4387242261","https://openalex.org/W4392573676","https://openalex.org/W4394847681","https://openalex.org/W4400780701"],"related_works":[],"abstract_inverted_index":{"Early":[0],"identification":[1],"of":[2,77,88,114,122,151],"driving":[3,8,33,47,55,66],"risks":[4],"is":[5,145],"crucial":[6],"for":[7,35,61,86],"safety.":[9],"In":[10],"this":[11],"study,":[12],"a":[13],"deep":[14],"learning":[15],"method":[16],"based":[17],"on":[18],"Long":[19],"Short-term":[20],"Memory":[21],"(LSTM)":[22],"with":[23,148],"attention":[24,106],"mechanism":[25,107],"and":[26,51,59,68,96],"XGBoost":[27],"to":[28,82,110],"recognize":[29],"risk":[30,90],"levels":[31,91],"during":[32],"simulation":[34],"early":[36],"warnings,":[37],"has":[38],"been":[39],"proposed.":[40],"Here,":[41],"we":[42],"collected":[43],"multimodal":[44],"data":[45],"-including":[46],"data,":[48],"eyes":[49],"status,":[50],"basic":[52],"physiological":[53,69],"data-from":[54],"simulators,":[56],"eye":[57],"trackers,":[58],"smartwatches":[60],"comprehensive":[62],"analysis.":[63],"By":[64],"combining":[65],"behavior":[67],"features":[70,85,116],"in":[71,99,133],"each":[72],"time":[73],"window,":[74],"the":[75,89,100,112,120,141],"ability":[76],"LSTM":[78],"networks":[79],"was":[80,108,124],"applied":[81],"analyze":[83],"temporal":[84],"prediction":[87],"(Level":[92],"0,":[93],"Level":[94,97],"1,":[95],"2)":[98],"next":[101],"20":[102],"seconds.":[103],"Meanwhile,":[104],"an":[105,149],"introduced":[109],"understand":[111],"importance":[113],"multiple":[115],"as":[117],"well.":[118],"Then":[119],"output":[121],"LSTM-attention":[123],"further":[125],"refined":[126],"using":[127],"XGBoost,":[128],"which":[129],"demonstrated":[130],"excellent":[131],"performance":[132],"classification":[134],"tasks.":[135],"The":[136],"integrated":[137],"model":[138],"showed":[139],"that":[140],"overall":[142],"accuracy":[143],"achieved":[144],"above":[146],"89.97%,":[147],"F1-score":[150],"89.15%.":[152]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-29T00:00:00"}
