{"id":"https://openalex.org/W2064687146","doi":"https://doi.org/10.1109/ivs.2010.5547964","title":"Extracting information from continuous naturalistic driving data: sample applications","display_name":"Extracting information from continuous naturalistic driving data: sample applications","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2064687146","doi":"https://doi.org/10.1109/ivs.2010.5547964","mag":"2064687146"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2010.5547964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2010.5547964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Intelligent Vehicles Symposium","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/A5100620987","display_name":"Miguel A. P\u00e9rez","orcid":"https://orcid.org/0000-0003-0437-5603"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]},{"id":"https://openalex.org/I4387930269","display_name":"Virginia Tech Transportation Institute","ror":"https://ror.org/05953j253","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387930269","https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Miguel A. Perez","raw_affiliation_strings":["Virginia Tech Transportation Institute, Blacksburg, VA, USA","Scientist with the Virginia Tech Transportation Institute, 3500 Transportation Research Plaza, Blacksburg, 24061 USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech Transportation Institute, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795","https://openalex.org/I4387930269"]},{"raw_affiliation_string":"Scientist with the Virginia Tech Transportation Institute, 3500 Transportation Research Plaza, Blacksburg, 24061 USA","institution_ids":["https://openalex.org/I859038795","https://openalex.org/I4387930269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064927369","display_name":"Zachary R. Doerzaph","orcid":"https://orcid.org/0000-0002-3897-1430"},"institutions":[{"id":"https://openalex.org/I4387930269","display_name":"Virginia Tech Transportation Institute","ror":"https://ror.org/05953j253","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387930269","https://openalex.org/I859038795"]},{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zachary R. Doerzaph","raw_affiliation_strings":["Virginia Tech Transportation Institute, Blacksburg, VA, USA","Virginia Transportation Institute, Blacksburg, 24061 USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech Transportation Institute, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795","https://openalex.org/I4387930269"]},{"raw_affiliation_string":"Virginia Transportation Institute, Blacksburg, 24061 USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006030239","display_name":"Clark Gaylord","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]},{"id":"https://openalex.org/I4387930269","display_name":"Virginia Tech Transportation Institute","ror":"https://ror.org/05953j253","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387930269","https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Clark K. Gaylord","raw_affiliation_strings":["Virginia Tech Transportation Institute, Blacksburg, VA, USA","Virginia Tech Transportation Institute, Blacksburg, 24061, USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech Transportation Institute, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795","https://openalex.org/I4387930269"]},{"raw_affiliation_string":"Virginia Tech Transportation Institute, Blacksburg, 24061, USA","institution_ids":["https://openalex.org/I859038795","https://openalex.org/I4387930269"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109273463","display_name":"Jonathan M. Hankey","orcid":null},"institutions":[{"id":"https://openalex.org/I4387930269","display_name":"Virginia Tech Transportation Institute","ror":"https://ror.org/05953j253","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387930269","https://openalex.org/I859038795"]},{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan M. Hankey","raw_affiliation_strings":["Virginia Tech Transportation Institute, Blacksburg, VA, USA","Virginia Tech Transportation Institute, Blacksburg, 24061, USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech Transportation Institute, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795","https://openalex.org/I4387930269"]},{"raw_affiliation_string":"Virginia Tech Transportation Institute, Blacksburg, 24061, USA","institution_ids":["https://openalex.org/I859038795","https://openalex.org/I4387930269"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100620987"],"corresponding_institution_ids":["https://openalex.org/I4387930269","https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.5734,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73101081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1201","last_page":"1208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9959999918937683,"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":0.9959999918937683,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9921000003814697,"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/T10370","display_name":"Traffic and Road Safety","score":0.9853000044822693,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.714851438999176},{"id":"https://openalex.org/keywords/distraction","display_name":"Distraction","score":0.7075106501579285},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.6812734603881836},{"id":"https://openalex.org/keywords/naturalistic-observation","display_name":"Naturalistic observation","score":0.5611391663551331},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5326933860778809},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4378967583179474},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.4341161847114563},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32971304655075073},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19068428874015808}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.714851438999176},{"id":"https://openalex.org/C2776378700","wikidata":"https://www.wikidata.org/wiki/Q3030775","display_name":"Distraction","level":2,"score":0.7075106501579285},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.6812734603881836},{"id":"https://openalex.org/C167699689","wikidata":"https://www.wikidata.org/wiki/Q1521337","display_name":"Naturalistic observation","level":2,"score":0.5611391663551331},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5326933860778809},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4378967583179474},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.4341161847114563},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32971304655075073},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19068428874015808},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2010.5547964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2010.5547964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Intelligent Vehicles Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W173206510","https://openalex.org/W1527220675","https://openalex.org/W1568390176","https://openalex.org/W2010562705","https://openalex.org/W4229726281","https://openalex.org/W4247938048","https://openalex.org/W6607068682"],"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/W2028203774","https://openalex.org/W2174716869","https://openalex.org/W4205873045","https://openalex.org/W2080126316","https://openalex.org/W146094510"],"abstract_inverted_index":{"The":[0],"technology":[1],"and":[2,26,48,87,98,125,127,149,165,174,205,214,218],"tools":[3],"used":[4],"for":[5,83,161,183],"naturalistic":[6,80,141],"driving":[7,60,142,172,179],"data":[8,35,61,136,151,173,180],"collection":[9,17,62],"have":[10,181],"evolved":[11],"greatly":[12],"in":[13,52,154,186,208],"recent":[14],"years.":[15],"Data":[16,78],"efforts":[18],"that":[19,38,93],"required":[20],"a":[21,44,104,158,184],"trunk":[22],"full":[23],"of":[24,28,43,46,89,100,107,119,131,135,147,164,171,189],"equipment":[25],"days":[27],"installation":[29],"can":[30,49],"now":[31],"be":[32,50],"achieved":[33],"with":[34,111],"acquisition":[36],"systems":[37],"are":[39,123,137,152,195],"about":[40],"the":[41,66,96,145,162,187],"size":[42],"deck":[45],"cards":[47],"installed":[51],"minutes.":[53],"This":[54,114],"evolution":[55],"has":[56],"made":[57],"possible":[58],"large-scale":[59],"efforts,":[63],"such":[64,121],"as":[65,193],"upcoming":[67],"Second":[68],"Safety":[69],"Highway":[70],"Research":[71],"Program":[72],"Naturalistic":[73,178],"Driving":[74],"Study":[75],"(SHRP2":[76],"NDS).":[77],"from":[79,139],"studies":[81,122],"allow":[82],"an":[84],"unparalleled":[85],"breadth":[86],"depth":[88],"driver":[90,101,190],"behavior":[91,191],"analysis":[92],"goes":[94],"beyond":[95],"quantification":[97],"description":[99],"distraction":[102],"into":[103],"deeper":[105],"understanding":[106,188],"how":[108,120,132],"drivers":[109],"interact":[110],"their":[112,219],"vehicles.":[113],"paper":[115],"describes":[116],"key":[117],"aspects":[118],"designed":[124],"executed,":[126],"provides":[128],"some":[129],"examples":[130],"common":[133],"types":[134],"extracted":[138],"these":[140,168],"datasets.":[143],"Specifically,":[144],"use":[146],"RADAR":[148],"speed":[150],"discussed":[153],"detail.":[155],"In":[156],"addition,":[157],"sample":[159],"architecture":[160],"storage":[163],"access":[166],"to":[167,197,212],"vast":[169],"quantities":[170],"video":[175],"is":[176],"provided.":[177],"allowed":[182],"transformation":[185],"and,":[192],"datasets":[194],"expanded":[196],"include":[198],"diverse":[199],"populations,":[200],"they":[201],"will":[202],"help":[203],"researchers":[204],"automotive":[206],"engineers":[207],"developing":[209],"novel":[210],"ways":[211],"mitigate":[213],"prevent":[215],"vehicular":[216],"crashes":[217],"consequences.":[220]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}
