{"id":"https://openalex.org/W7126098138","doi":"https://doi.org/10.1007/s10462-026-11492-y","title":"Advances on risky driver behaviour detection in road vehicles: a systematic literature review","display_name":"Advances on risky driver behaviour detection in road vehicles: a systematic literature review","publication_year":2026,"publication_date":"2026-01-29","ids":{"openalex":"https://openalex.org/W7126098138","doi":"https://doi.org/10.1007/s10462-026-11492-y"},"language":"en","primary_location":{"id":"doi:10.1007/s10462-026-11492-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-026-11492-y","pdf_url":null,"source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/s10462-026-11492-y","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124241957","display_name":"Lu\u00eds Ferreira","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lu\u00eds Ferreira","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042794979","display_name":"Antonio Saverio Valente","orcid":"https://orcid.org/0000-0002-4544-2166"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ant\u00f3nio Valente","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083528174","display_name":"Paulo Salgado","orcid":"https://orcid.org/0000-0003-0041-0256"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paulo Salgado","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5124280153","display_name":"Jos\u00e9 Boaventura","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Boaventura","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5124241957"],"corresponding_institution_ids":[],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":{"value":2490,"currency":"EUR","value_usd":3090},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2229122,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"59","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.22660000622272491,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.22660000622272491,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.15289999544620514,"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/T10370","display_name":"Traffic and Road Safety","score":0.11469999700784683,"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/systematic-review","display_name":"Systematic review","score":0.7534000277519226},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6826000213623047},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.6136999726295471},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.5335999727249146},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5121999979019165},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.3691999912261963}],"concepts":[{"id":"https://openalex.org/C189708586","wikidata":"https://www.wikidata.org/wiki/Q1504425","display_name":"Systematic review","level":3,"score":0.7534000277519226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6978999972343445},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6826000213623047},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.6136999726295471},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.5335999727249146},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5121999979019165},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4551999866962433},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.4341000020503998},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3691999912261963},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.3382999897003174},{"id":"https://openalex.org/C100253034","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Systematic error","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C157181609","wikidata":"https://www.wikidata.org/wiki/Q1364310","display_name":"Sustainable transport","level":3,"score":0.3165999948978424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2838999927043915},{"id":"https://openalex.org/C3019222255","wikidata":"https://www.wikidata.org/wiki/Q516739","display_name":"Road transport","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C2985695025","wikidata":"https://www.wikidata.org/wiki/Q4323994","display_name":"Road traffic","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.2705000042915344},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2621000111103058},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10462-026-11492-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-026-11492-y","pdf_url":null,"source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10462-026-11492-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-026-11492-y","pdf_url":null,"source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320328906","display_name":"Universidade de Tr\u00e1s-os-Montes e Alto Douro","ror":"https://ror.org/03qc8vh97"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":96,"referenced_works":["https://openalex.org/W2968374673","https://openalex.org/W2997475949","https://openalex.org/W2999771890","https://openalex.org/W3007581057","https://openalex.org/W3009038511","https://openalex.org/W3028502343","https://openalex.org/W3040102849","https://openalex.org/W3043243307","https://openalex.org/W3043393337","https://openalex.org/W3090297562","https://openalex.org/W3090756274","https://openalex.org/W3094021148","https://openalex.org/W3100100339","https://openalex.org/W3106075906","https://openalex.org/W3111112931","https://openalex.org/W3118615836","https://openalex.org/W3123894539","https://openalex.org/W3128284736","https://openalex.org/W3169866630","https://openalex.org/W3171306180","https://openalex.org/W3187916661","https://openalex.org/W3192885136","https://openalex.org/W3195029671","https://openalex.org/W3205301818","https://openalex.org/W3208900212","https://openalex.org/W3210226832","https://openalex.org/W3210290658","https://openalex.org/W3215074513","https://openalex.org/W4205519040","https://openalex.org/W4206972921","https://openalex.org/W4212991495","https://openalex.org/W4224305276","https://openalex.org/W4225836677","https://openalex.org/W4226359231","https://openalex.org/W4285242035","https://openalex.org/W4285813082","https://openalex.org/W4285813099","https://openalex.org/W4290712941","https://openalex.org/W4294811458","https://openalex.org/W4297944557","https://openalex.org/W4308080624","https://openalex.org/W4318570853","https://openalex.org/W4320879309","https://openalex.org/W4323065886","https://openalex.org/W4324290829","https://openalex.org/W4327662047","https://openalex.org/W4361793647","https://openalex.org/W4365479680","https://openalex.org/W4375852286","https://openalex.org/W4383503698","https://openalex.org/W4386025867","https://openalex.org/W4386573881","https://openalex.org/W4386600407","https://openalex.org/W4387092495","https://openalex.org/W4387579864","https://openalex.org/W4388579674","https://openalex.org/W4388773836","https://openalex.org/W4388784298","https://openalex.org/W4389462109","https://openalex.org/W4389493182","https://openalex.org/W4389636502","https://openalex.org/W4390760225","https://openalex.org/W4391467416","https://openalex.org/W4391559984","https://openalex.org/W4391934098","https://openalex.org/W4391992465","https://openalex.org/W4392543757","https://openalex.org/W4393004558","https://openalex.org/W4393589821","https://openalex.org/W4393972732","https://openalex.org/W4396712738","https://openalex.org/W4396753562","https://openalex.org/W4396909937","https://openalex.org/W4398164014","https://openalex.org/W4399253972","https://openalex.org/W4399273536","https://openalex.org/W4399433130","https://openalex.org/W4400220910","https://openalex.org/W4400314754","https://openalex.org/W4400875588","https://openalex.org/W4401056266","https://openalex.org/W4401076923","https://openalex.org/W4401114135","https://openalex.org/W4401210828","https://openalex.org/W4401246724","https://openalex.org/W4401287623","https://openalex.org/W4401325122","https://openalex.org/W4401990068","https://openalex.org/W4402156440","https://openalex.org/W4402332042","https://openalex.org/W4403061132","https://openalex.org/W4404065853","https://openalex.org/W4404105542","https://openalex.org/W4404179567","https://openalex.org/W4405010244","https://openalex.org/W4405429204"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"The":[1,105,140],"automotive":[2],"sector":[3],"is":[4],"undergoing":[5],"continuous":[6],"technological":[7],"evolution":[8],"driven":[9],"by":[10],"the":[11,19,51,68,95,152,169,202,214],"demand":[12],"for":[13,56,65,216],"sustainable":[14],"and":[15,59,63,73,77,86,91,94,100,114,121,131,159,180,192,211],"safe":[16],"vehicles.":[17],"Among":[18],"main":[20],"factors":[21,173],"influencing":[22],"safety,":[23],"driver":[24,45,71,138,164],"behaviour":[25],"has":[26],"been":[27],"identified":[28],"as":[29,166,168,175],"a":[30],"critical":[31],"contributor":[32],"to":[33,134,145,197,212,219],"road":[34,178,226],"crashes.":[35],"This":[36,194],"systematic":[37,147],"review":[38,106,195],"explores":[39],"recent":[40],"innovations":[41],"in":[42,81,102,162,200,208],"detecting":[43,163],"risky":[44],"behaviours,":[46,165],"addressing":[47],"six":[48],"research":[49,191],"questions:":[50],"most":[52,69,153],"relevant":[53],"datasets":[54],"used":[55,144,155],"algorithm":[57],"development":[58],"evaluation;":[60],"system":[61],"architectures":[62],"methodologies":[64],"anomaly":[66,206],"detection;":[67],"studied":[70],"behaviours":[72],"related":[74],"environmental,":[75],"human,":[76],"mechanical":[78],"factors;":[79],"advances":[80],"machine":[82],"learning,":[83,85],"deep":[84],"statistical":[87],"methods;":[88],"performance":[89,161],"metrics":[90],"validation":[92],"approaches;":[93],"role":[96],"of":[97,171,205],"embedded":[98],"technologies":[99],"sensors":[101],"practical":[103],"applications.":[104],"included":[107],"93":[108],"peer-reviewed":[109],"articles":[110],"published":[111],"between":[112],"2020":[113],"2024,":[115],"sourced":[116],"from":[117],"ACM,":[118],"IEEE,":[119],"ScienceDirect,":[120],"Scopus.":[122],"Exclusion":[123],"criteria":[124],"were":[125],"duplicates,":[126],"non-open":[127],"access,":[128],"retracted":[129],"works,":[130],"studies":[132],"unrelated":[133],"outlier":[135],"detection":[136,207],"or":[137],"behaviour.":[139],"Parsifal":[141],"tool":[142],"was":[143],"support":[146],"data":[148],"processing.":[149],"Results":[150],"highlight":[151],"frequently":[154],"datasets,":[156],"proposed":[157],"models,":[158],"their":[160],"well":[167],"influence":[170],"contextual":[172],"such":[174],"traffic":[176],"rules,":[177],"conditions,":[179],"sensor":[181],"limitations.":[182],"Despite":[183],"advances,":[184],"real-world":[185],"integration":[186],"remains":[187],"challenging,":[188],"requiring":[189],"further":[190],"development.":[193],"aims":[196],"guide":[198],"researchers":[199],"understanding":[201],"current":[203],"state":[204],"driving":[209],"contexts":[210],"emphasize":[213],"need":[215],"broader":[217],"collaboration":[218],"create":[220],"effective,":[221],"deployable":[222],"solutions":[223],"that":[224],"enhance":[225],"safety":[227],"worldwide.":[228]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-30T00:00:00"}
