{"id":"https://openalex.org/W2130524844","doi":"https://doi.org/10.1109/icsmc.2009.5346668","title":"Modeling driver operation behavior by linear prediction analysis and auto associative neural network","display_name":"Modeling driver operation behavior by linear prediction analysis and auto associative neural network","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2130524844","doi":"https://doi.org/10.1109/icsmc.2009.5346668","mag":"2130524844"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2009.5346668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","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/A5061383078","display_name":"Md Rizal Othman","orcid":null},"institutions":[{"id":"https://openalex.org/I102913810","display_name":"Universiti Malaysia Pahang Al-Sultan Abdullah","ror":"https://ror.org/01704wp68","country_code":"MY","type":"education","lineage":["https://openalex.org/I102913810"]},{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP","MY"],"is_corresponding":false,"raw_author_name":"Md Rizal Othman","raw_affiliation_strings":["Department of Production System Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan","Universiti Malaysia Pahang, Kuantan, Pahang, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Production System Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan","institution_ids":["https://openalex.org/I136259955"]},{"raw_affiliation_string":"Universiti Malaysia Pahang, Kuantan, Pahang, Malaysia","institution_ids":["https://openalex.org/I102913810"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhon Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhon Zhang","raw_affiliation_strings":["Department of Production System Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Production System Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan","institution_ids":["https://openalex.org/I136259955"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104024266","display_name":"Takashi Imamura","orcid":null},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Imamura","raw_affiliation_strings":["Department of Production System Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Production System Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan","institution_ids":["https://openalex.org/I136259955"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102268461","display_name":"Tetsuo Miyake","orcid":null},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuo Miyake","raw_affiliation_strings":["Department of Production System Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Production System Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan","institution_ids":["https://openalex.org/I136259955"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1478,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.82190132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"649","last_page":"653"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9975000023841858,"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":0.9975000023841858,"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/T10524","display_name":"Traffic control and management","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.9835000038146973,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7689313292503357},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.6842860579490662},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6825888156890869},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.6422308683395386},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5472932457923889},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5275067090988159},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5273186564445496},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4792766273021698},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4426986277103424},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.426126629114151},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3969985842704773},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3065199553966522},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09905332326889038}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7689313292503357},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.6842860579490662},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6825888156890869},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.6422308683395386},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5472932457923889},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5275067090988159},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5273186564445496},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4792766273021698},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4426986277103424},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.426126629114151},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3969985842704773},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3065199553966522},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09905332326889038},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2009.5346668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1554663460","https://openalex.org/W1560013842","https://openalex.org/W1966264494","https://openalex.org/W1968685799","https://openalex.org/W2007093507","https://openalex.org/W2041343809","https://openalex.org/W2072016475","https://openalex.org/W2087070363","https://openalex.org/W2090023516","https://openalex.org/W2119208415","https://openalex.org/W2155482699","https://openalex.org/W2160595088","https://openalex.org/W2326071329","https://openalex.org/W2509187435"],"related_works":["https://openalex.org/W2163296013","https://openalex.org/W2743859443","https://openalex.org/W2326995835","https://openalex.org/W165915117","https://openalex.org/W2059402478","https://openalex.org/W2123347777","https://openalex.org/W4387804363","https://openalex.org/W2477150073","https://openalex.org/W2019547100","https://openalex.org/W2515493494"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"new":[4],"method":[5,13],"for":[6],"modeling":[7],"driver":[8,58],"operation":[9,27],"behavior.":[10],"The":[11,34,50],"proposed":[12],"is":[14,40],"based":[15],"on":[16],"using":[17],"the":[18,37,53,62,67,71,75],"predictor":[19],"coefficients":[20],"as":[21],"feature":[22,38],"vectors":[23,39],"extracted":[24],"from":[25],"driving":[26],"signal":[28],"by":[29,42],"linear":[30],"prediction":[31],"analysis":[32],"(LPA).":[33],"distribution":[35],"of":[36,52,74],"captured":[41],"employing":[43],"auto":[44],"associative":[45],"neural":[46],"networks":[47],"(AANN)":[48],"model.":[49],"performance":[51],"model":[54,68],"was":[55],"evaluated":[56],"through":[57],"identification":[59],"process":[60],"and":[61],"results":[63],"obtained":[64],"demonstrate":[65],"that":[66],"can":[69],"grasp":[70],"individual":[72],"characteristics":[73],"driver.":[76]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
