{"id":"https://openalex.org/W1563346321","doi":"https://doi.org/10.1109/ivs.2015.7225689","title":"Reduction effect of traffic accidents by driver's psychosomatic state monitoring function","display_name":"Reduction effect of traffic accidents by driver's psychosomatic state monitoring function","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1563346321","doi":"https://doi.org/10.1109/ivs.2015.7225689","mag":"1563346321"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2015.7225689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2015.7225689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Intelligent Vehicles Symposium (IV)","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/A5051400166","display_name":"Masahiro Miyaji","orcid":null},"institutions":[{"id":"https://openalex.org/I45205469","display_name":"Aichi Prefectural University","ror":"https://ror.org/047n0b268","country_code":"JP","type":"education","lineage":["https://openalex.org/I45205469"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masahiro Miyaji","raw_affiliation_strings":["Institute of Information Science and Technology, Aichi Prefectural University Ibaragahasama, Nagakute, Japan","Institute of Information Science and Technology, Aichi Prefectural University, Ibaragahasama, Nagakute, Aichi, 480-1198 Japan"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science and Technology, Aichi Prefectural University Ibaragahasama, Nagakute, Japan","institution_ids":["https://openalex.org/I45205469"]},{"raw_affiliation_string":"Institute of Information Science and Technology, Aichi Prefectural University, Ibaragahasama, Nagakute, Aichi, 480-1198 Japan","institution_ids":["https://openalex.org/I45205469"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5051400166"],"corresponding_institution_ids":["https://openalex.org/I45205469"],"apc_list":null,"apc_paid":null,"fwci":0.4033,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69456771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"60","issue":null,"first_page":"217","last_page":"222"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9904999732971191,"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":0.9904999732971191,"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/T13638","display_name":"Human auditory perception and evaluation","score":0.9549999833106995,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T14512","display_name":"Technology and Human Factors in Education and Health","score":0.9532999992370605,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/distraction","display_name":"Distraction","score":0.9120221138000488},{"id":"https://openalex.org/keywords/crash","display_name":"Crash","score":0.5127061605453491},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4627627730369568},{"id":"https://openalex.org/keywords/poison-control","display_name":"Poison control","score":0.44616076350212097},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3944888710975647},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.38621577620506287},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.34852540493011475},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2087741196155548},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.1620425283908844},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13587668538093567}],"concepts":[{"id":"https://openalex.org/C2776378700","wikidata":"https://www.wikidata.org/wiki/Q3030775","display_name":"Distraction","level":2,"score":0.9120221138000488},{"id":"https://openalex.org/C183469790","wikidata":"https://www.wikidata.org/wiki/Q333501","display_name":"Crash","level":2,"score":0.5127061605453491},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4627627730369568},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.44616076350212097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3944888710975647},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.38621577620506287},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.34852540493011475},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2087741196155548},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.1620425283908844},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13587668538093567},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2015.7225689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2015.7225689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W116278252","https://openalex.org/W1567325406","https://openalex.org/W1588401315","https://openalex.org/W1982306775","https://openalex.org/W1988790447","https://openalex.org/W2041775463","https://openalex.org/W2059303722","https://openalex.org/W2106126246","https://openalex.org/W2106654511","https://openalex.org/W2171485671","https://openalex.org/W2254215742","https://openalex.org/W4285719527","https://openalex.org/W6635310694","https://openalex.org/W6647371063","https://openalex.org/W6685288652"],"related_works":["https://openalex.org/W1984342691","https://openalex.org/W2470048815","https://openalex.org/W2324884046","https://openalex.org/W641612223","https://openalex.org/W2906771794","https://openalex.org/W100847034","https://openalex.org/W2319663290","https://openalex.org/W2170800957","https://openalex.org/W2094150432","https://openalex.org/W2144159679"],"abstract_inverted_index":{"Traffic":[0],"fatalities":[1],"and":[2,26,44,181],"injuries":[3],"in":[4,24],"Japan":[5],"have":[6],"declined":[7],"for":[8],"fourteen":[9],"years":[10],"by":[11,39,127,162,171],"comprehensive":[12],"counter-measures.":[13],"One":[14],"of":[15,20,46,78,84,103,114,122,154,165,176],"efforts":[16],"has":[17,36,70],"included":[18],"enhancement":[19],"vehicle":[21],"safety":[22,55,68,89],"performance":[23],"passive":[25,31],"preventive":[27,54],"safety.":[28],"Pertaining":[29],"to":[30,73,94,110],"safety,":[32],"major":[33],"reduction":[34,82,112,174],"effect":[35,83,113],"been":[37,71],"brought":[38],"airbag":[40],"systems,":[41],"seat":[42],"belts":[43],"crashworthiness":[45],"vehicles.":[47],"To":[48],"further":[49,74],"reduce":[50,75],"the":[51,76,99,104,115,129,135,173],"traffic":[52,79,105,116,123,146],"accident,":[53],"may":[56,143],"play":[57],"more":[58],"important":[59],"role.":[60],"Recently":[61],"driver's":[62,140,155,166],"psychosomatic":[63,85],"state":[64],"adaptive":[65,86],"driving":[66,87],"support":[67,88],"function":[69,90,164],"highlighted":[72],"number":[77],"accident.":[80,117],"Accordingly":[81],"should":[91],"be":[92],"clarified":[93],"foster":[95],"its":[96],"penetration":[97],"into":[98],"market.":[100],"Statistical":[101],"analysis":[102],"incident":[106],"is":[107],"highly":[108],"expected":[109],"evaluate":[111],"In":[118],"this":[119,137],"study":[120,138],"experiences":[121],"incidents":[124],"was":[125,158,169],"analyzed":[126],"using":[128,149,163],"data":[130],"collected":[131],"through":[132],"Internet.":[133],"From":[134],"results":[136],"focused":[139],"distraction,":[141],"which":[142],"cause":[144],"severe":[145],"accidents.":[147],"By":[148],"pattern":[150],"recognition,":[151],"detection":[152,168],"accuracy":[153],"cognitive":[156],"distraction":[157,167],"acquired.":[159],"Reduction":[160],"rate":[161,175],"estimated":[170],"referring":[172],"both":[177],"Advanced":[178],"Safety":[179],"Vehicle":[180],"Intelligent":[182],"Transportation":[183],"Systems.":[184]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
