{"id":"https://openalex.org/W4225522953","doi":"https://doi.org/10.1080/01969722.2022.2059133","title":"New LSTM Deep Learning Algorithm for Driving Behavior Classification","display_name":"New LSTM Deep Learning Algorithm for Driving Behavior Classification","publication_year":2022,"publication_date":"2022-04-04","ids":{"openalex":"https://openalex.org/W4225522953","doi":"https://doi.org/10.1080/01969722.2022.2059133"},"language":"en","primary_location":{"id":"doi:10.1080/01969722.2022.2059133","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969722.2022.2059133","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","raw_type":"journal-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/A5043360478","display_name":"Nesrine Kadri","orcid":"https://orcid.org/0000-0002-6388-4689"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]},{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Nesrine Kadri","raw_affiliation_strings":["CEMLab, ENIS, University of Sfax, Sfax, Tunisia","ISIT\u2019COM, University of Sousse, Sousse, Tunisia","ISIT'COM, University of Sousse, Sousse, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEMLab, ENIS, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]},{"raw_affiliation_string":"ISIT\u2019COM, University of Sousse, Sousse, Tunisia","institution_ids":["https://openalex.org/I8636806"]},{"raw_affiliation_string":"ISIT'COM, University of Sousse, Sousse, Tunisia","institution_ids":["https://openalex.org/I8636806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078821152","display_name":"Ameni Ellouze","orcid":null},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]},{"id":"https://openalex.org/I68916915","display_name":"University of Gab\u00e8s","ror":"https://ror.org/022efad20","country_code":"TN","type":"education","lineage":["https://openalex.org/I68916915"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Ameni Ellouze","raw_affiliation_strings":["CEMLab, ENIS, University of Sfax, Sfax, Tunisia","ISIMG, University of Gabes, Gabes, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEMLab, ENIS, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]},{"raw_affiliation_string":"ISIMG, University of Gabes, Gabes, Tunisia","institution_ids":["https://openalex.org/I68916915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070791575","display_name":"Mohamed Ksantini","orcid":"https://orcid.org/0000-0002-9928-8643"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mohamed Ksantini","raw_affiliation_strings":["CEMLab, ENIS, University of Sfax, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEMLab, ENIS, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061889153","display_name":"Sameh Hbaieb Turki","orcid":null},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Sameh Hbaieb Turki","raw_affiliation_strings":["MIRACL Lab, FSEGS, University of Sfax, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIRACL Lab, FSEGS, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043360478"],"corresponding_institution_ids":["https://openalex.org/I142899784","https://openalex.org/I8636806"],"apc_list":null,"apc_paid":null,"fwci":3.0921,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.91796269,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"54","issue":"4","first_page":"387","last_page":"405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9973999857902527,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9973999857902527,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/forgetting","display_name":"Forgetting","score":0.853309154510498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6880192756652832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5300687551498413},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4501972198486328},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.41936323046684265},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41519638895988464},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.41313791275024414},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3999471366405487},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.323370099067688},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.2520957291126251},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11670392751693726},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.08546921610832214}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.853309154510498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6880192756652832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5300687551498413},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4501972198486328},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.41936323046684265},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41519638895988464},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.41313791275024414},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3999471366405487},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.323370099067688},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.2520957291126251},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11670392751693726},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.08546921610832214},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/01969722.2022.2059133","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969722.2022.2059133","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6800000071525574,"display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308399","display_name":"Association for Slavic, East European, and Eurasian Studies","ror":"https://ror.org/04n3hjx90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W209020652","https://openalex.org/W867303916","https://openalex.org/W1578800471","https://openalex.org/W1989244791","https://openalex.org/W1992656744","https://openalex.org/W2028372669","https://openalex.org/W2029169022","https://openalex.org/W2029809489","https://openalex.org/W2038445953","https://openalex.org/W2048890562","https://openalex.org/W2051842076","https://openalex.org/W2063875787","https://openalex.org/W2103388129","https://openalex.org/W2127127580","https://openalex.org/W2129793335","https://openalex.org/W2158449659","https://openalex.org/W2164568552","https://openalex.org/W2190194936","https://openalex.org/W2270470215","https://openalex.org/W2292227919","https://openalex.org/W2406470551","https://openalex.org/W2518796799","https://openalex.org/W2539417147","https://openalex.org/W2559425100","https://openalex.org/W2566615221","https://openalex.org/W2605751614","https://openalex.org/W2607335761","https://openalex.org/W2616564887","https://openalex.org/W2623978803","https://openalex.org/W2759473898","https://openalex.org/W2792725803","https://openalex.org/W2803866832","https://openalex.org/W2839695880","https://openalex.org/W2943952292","https://openalex.org/W2963182155","https://openalex.org/W2964686114","https://openalex.org/W2966548892","https://openalex.org/W2968525327","https://openalex.org/W2973255917","https://openalex.org/W3109105778","https://openalex.org/W3119341266","https://openalex.org/W4301347335"],"related_works":["https://openalex.org/W4289718052","https://openalex.org/W2164121020","https://openalex.org/W2145559838","https://openalex.org/W3116498279","https://openalex.org/W4287549553","https://openalex.org/W3183027292","https://openalex.org/W2974871044","https://openalex.org/W4310285384","https://openalex.org/W3106286430","https://openalex.org/W3168412960"],"abstract_inverted_index":{"Road":[0],"safety":[1],"is":[2],"an":[3],"important":[4],"topic":[5],"of":[6,48,64,74,122,133,138,145],"interest":[7],"around":[8],"the":[9,45,55,62,72,84,116,123,131,134,143,163],"world.":[10],"The":[11,120,147],"road":[12,79],"traffic":[13],"accidents":[14,49,75],"claim":[15],"more":[16],"than":[17,153],"1.2":[18],"million":[19,27],"lives":[20],"and":[21,38,67,76,94],"cause":[22],"as":[23,25],"many":[24],"50":[26],"injuries":[28],"each":[29],"year":[30],"without":[31],"forgetting":[32],"their":[33],"huge":[34],"impact":[35],"on":[36,61,97],"health":[37],"development.":[39],"Several":[40],"factors":[41],"may":[42],"result":[43],"in":[44,156],"high":[46],"number":[47,73],"among":[50],"which":[51],"we":[52],"can":[53],"state":[54],"driving":[56,85,117,158],"behavior.":[57],"This":[58],"paper":[59],"focused":[60],"study":[63],"drivers\u2019":[65,125],"behavior":[66,86,159],"aimed":[68],"to":[69],"help":[70],"reduce":[71],"consequently":[77],"improve":[78],"safety.":[80],"To":[81],"this":[82],"end,":[83],"was":[87,113,128],"classified":[88],"into":[89],"three":[90],"categories":[91],"(normal,":[92],"drowsy":[93],"aggressive)":[95],"based":[96],"smartphone":[98],"sensors":[99],"data.":[100,146],"A":[101],"new":[102],"stacked":[103],"Long":[104],"Short-Term":[105],"Memory":[106],"(stacked":[107],"LSTM)":[108],"Recurrent":[109],"Neural":[110],"Networks":[111],"architecture":[112],"proposed":[114],"for":[115],"behaviors":[118],"classification.":[119],"accuracy":[121],"obtained":[124,148,164],"states":[126],"results":[127,149],"improved":[129],"with":[130],"use":[132],"Dempster-Shafer":[135],"(DS)":[136],"theory":[137],"belief":[139],"functions":[140],"that":[141],"overcame":[142],"uncertainty":[144],"are":[150],"clearly":[151],"better":[152],"those":[154],"existing":[155],"other":[157],"classification":[160],"studies":[161],"since":[162],"F1-measure":[165],"score":[166],"achieves":[167],"97%.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}
