{"id":"https://openalex.org/W4306847871","doi":"https://doi.org/10.3390/s22207954","title":"Fuzzy Ontology-Based System for Driver Behavior Classification","display_name":"Fuzzy Ontology-Based System for Driver Behavior Classification","publication_year":2022,"publication_date":"2022-10-19","ids":{"openalex":"https://openalex.org/W4306847871","doi":"https://doi.org/10.3390/s22207954","pmid":"https://pubmed.ncbi.nlm.nih.gov/36298305"},"language":"en","primary_location":{"id":"doi:10.3390/s22207954","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22207954","pdf_url":"https://www.mdpi.com/1424-8220/22/20/7954/pdf?version=1666253519","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/20/7954/pdf?version=1666253519","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031619783","display_name":"Susel Fern\u00e1ndez","orcid":"https://orcid.org/0000-0002-1576-4340"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Susel Fernandez","raw_affiliation_strings":["Universidad de Alcal\u00e1, Departamento de Autom\u00e1tica, Escuela Polit\u00e9cnica Superior, Campus Universitario, Ctra. Madrid-Barcelona, Km. 33,600, 28805 Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0002-1576-4340","affiliations":[{"raw_affiliation_string":"Universidad de Alcal\u00e1, Departamento de Autom\u00e1tica, Escuela Polit\u00e9cnica Superior, Campus Universitario, Ctra. Madrid-Barcelona, Km. 33,600, 28805 Madrid, Spain","institution_ids":["https://openalex.org/I189268942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015129790","display_name":"Takayuki It\u014d","orcid":"https://orcid.org/0000-0001-5093-3886"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayuki Ito","raw_affiliation_strings":["Department of Social Informatics, Kyoto University, Kyoto-shi 606-8501, Japan"],"raw_orcid":"https://orcid.org/0000-0001-5093-3886","affiliations":[{"raw_affiliation_string":"Department of Social Informatics, Kyoto University, Kyoto-shi 606-8501, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042874953","display_name":"Luis Cruz-Piris","orcid":"https://orcid.org/0000-0002-9570-2851"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Luis Cruz-Piris","raw_affiliation_strings":["Universidad de Alcal\u00e1, Departamento de Autom\u00e1tica, Escuela Polit\u00e9cnica Superior, Campus Universitario, Ctra. Madrid-Barcelona, Km. 33,600, 28805 Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0002-9570-2851","affiliations":[{"raw_affiliation_string":"Universidad de Alcal\u00e1, Departamento de Autom\u00e1tica, Escuela Polit\u00e9cnica Superior, Campus Universitario, Ctra. Madrid-Barcelona, Km. 33,600, 28805 Madrid, Spain","institution_ids":["https://openalex.org/I189268942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028393880","display_name":"Iv\u00e1n Mars\u00e1-Maestre","orcid":"https://orcid.org/0000-0002-5529-2851"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ivan Marsa-Maestre","raw_affiliation_strings":["Universidad de Alcal\u00e1, Departamento de Autom\u00e1tica, Escuela Polit\u00e9cnica Superior, Campus Universitario, Ctra. Madrid-Barcelona, Km. 33,600, 28805 Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0002-5529-2851","affiliations":[{"raw_affiliation_string":"Universidad de Alcal\u00e1, Departamento de Autom\u00e1tica, Escuela Polit\u00e9cnica Superior, Campus Universitario, Ctra. Madrid-Barcelona, Km. 33,600, 28805 Madrid, Spain","institution_ids":["https://openalex.org/I189268942"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5042874953"],"corresponding_institution_ids":["https://openalex.org/I189268942"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.7054,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.67569773,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"20","first_page":"7954","last_page":"7954"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9966999888420105,"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":0.9966999888420105,"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":0.9678000211715698,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9670000076293945,"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/ontology","display_name":"Ontology","score":0.7914277911186218},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.6411711573600769},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6287801265716553},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5575394630432129},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5365856289863586},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4998931884765625},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.49531665444374084},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.48471784591674805},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.48077458143234253},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.4562259316444397},{"id":"https://openalex.org/keywords/intelligent-decision-support-system","display_name":"Intelligent decision support system","score":0.4373336732387543},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.4268406629562378},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41281816363334656},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4022403359413147},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.39460939168930054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3809737265110016},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.23366230726242065},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21524810791015625},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.193271666765213}],"concepts":[{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.7914277911186218},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.6411711573600769},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6287801265716553},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5575394630432129},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5365856289863586},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4998931884765625},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.49531665444374084},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.48471784591674805},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.48077458143234253},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.4562259316444397},{"id":"https://openalex.org/C56397880","wikidata":"https://www.wikidata.org/wiki/Q6044094","display_name":"Intelligent decision support system","level":2,"score":0.4373336732387543},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.4268406629562378},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41281816363334656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4022403359413147},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.39460939168930054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3809737265110016},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.23366230726242065},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21524810791015625},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.193271666765213},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000063","descriptor_name":"Accidents, Traffic","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":true},{"descriptor_ui":"D000063","descriptor_name":"Accidents, Traffic","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":true},{"descriptor_ui":"D000063","descriptor_name":"Accidents, Traffic","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":true},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014186","descriptor_name":"Transportation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014186","descriptor_name":"Transportation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014186","descriptor_name":"Transportation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.3390/s22207954","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22207954","pdf_url":"https://www.mdpi.com/1424-8220/22/20/7954/pdf?version=1666253519","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36298305","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36298305","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:ebuah.uah.es:10017/59619","is_oa":true,"landing_page_url":"http://hdl.handle.net/10017/59619","pdf_url":"https://ebuah.uah.es/dspace/bitstream/10017/59619/3/Fuzzy_Ontology_Sensors_2022.pdf","source":{"id":"https://openalex.org/S7407055200","display_name":"e_Buah","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:1327deb9d106464e906c8adf5f9e134c","is_oa":true,"landing_page_url":"https://doaj.org/article/1327deb9d106464e906c8adf5f9e134c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 20, p 7954 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/20/7954/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22207954","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 20; Pages: 7954","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9611216","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9611216","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22207954","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22207954","pdf_url":"https://www.mdpi.com/1424-8220/22/20/7954/pdf?version=1666253519","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.49000000953674316,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2721264655","display_name":null,"funder_award_id":"CCG20/IA-041","funder_id":"https://openalex.org/F4320323755","funder_display_name":"Universidad de Alcal\u00e1"},{"id":"https://openalex.org/G6747037512","display_name":null,"funder_award_id":"PIUAH21/IA-062","funder_id":"https://openalex.org/F4320323755","funder_display_name":"Universidad de Alcal\u00e1"}],"funders":[{"id":"https://openalex.org/F4320323755","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4306847871.pdf","grobid_xml":"https://content.openalex.org/works/W4306847871.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W164284571","https://openalex.org/W1854606279","https://openalex.org/W1965776893","https://openalex.org/W1983275673","https://openalex.org/W2011782963","https://openalex.org/W2016115589","https://openalex.org/W2018690964","https://openalex.org/W2039796074","https://openalex.org/W2045762473","https://openalex.org/W2068997453","https://openalex.org/W2107897921","https://openalex.org/W2154829072","https://openalex.org/W2284297347","https://openalex.org/W2294617035","https://openalex.org/W2561942584","https://openalex.org/W2745090846","https://openalex.org/W2774805341","https://openalex.org/W2911168458","https://openalex.org/W2964264720","https://openalex.org/W2967118105","https://openalex.org/W2970756023","https://openalex.org/W2991197804","https://openalex.org/W2998562571","https://openalex.org/W3001866431","https://openalex.org/W3003493017","https://openalex.org/W3009375400","https://openalex.org/W3011384521","https://openalex.org/W3011729322","https://openalex.org/W3020774883","https://openalex.org/W3026151718","https://openalex.org/W3035542613","https://openalex.org/W3040992657","https://openalex.org/W3042777650","https://openalex.org/W3081266640","https://openalex.org/W3082453315","https://openalex.org/W3111364346","https://openalex.org/W3119341266","https://openalex.org/W3203494727","https://openalex.org/W4249749961","https://openalex.org/W6600822238","https://openalex.org/W6638844631","https://openalex.org/W6667476453"],"related_works":["https://openalex.org/W4399654348","https://openalex.org/W2188179090","https://openalex.org/W3115673219","https://openalex.org/W4285065526","https://openalex.org/W2531540759","https://openalex.org/W2177053783","https://openalex.org/W2183705683","https://openalex.org/W2375214336","https://openalex.org/W2314808628","https://openalex.org/W2081330421"],"abstract_inverted_index":{"Intelligent":[0],"transportation":[1,120,149],"systems":[2],"encompass":[3],"a":[4,51,72,161],"series":[5],"of":[6,74,163,171,178,190,204,213,222,230,247,261,266],"technologies":[7],"and":[8,17,71,87,235],"applications":[9],"that":[10,26,194,245],"exchange":[11],"information":[12],"to":[13,21,40,44,84,101,108,144,167,200],"improve":[14,45],"road":[15,31,46,153],"traffic":[16,92,109,156,186,207],"avoid":[18],"accidents.":[19],"According":[20],"statistics,":[22],"some":[23],"studies":[24],"argue":[25],"human":[27],"mistakes":[28],"cause":[29],"most":[30,246],"accidents":[32],"worldwide.":[33],"For":[34],"this":[35],"reason,":[36],"it":[37],"is":[38,197],"essential":[39],"model":[41,201],"driver":[42,56,85],"behavior":[43,86],"safety.":[47],"This":[48],"paper":[49],"presents":[50],"Fuzzy":[52],"Rule-Based":[53],"System":[54],"for":[55],"classification":[57,112,181,221],"into":[58],"different":[59,105,184],"profiles":[60],"considering":[61],"their":[62,88],"behavior.":[63],"The":[64,77,94,111,188],"system's":[65],"knowledge":[66,203],"base":[67],"includes":[68],"an":[69,118,210,227,253,257],"ontology":[70,78,173,196],"set":[73,162],"driving":[75,95,125,128],"rules.":[76],"models":[79],"the":[80,91,98,123,127,169,172,176,179,191,195,202,205,217,223,240,248,264,267],"main":[81],"entities":[82],"related":[83],"relationships":[89],"with":[90,175,209,226],"environment.":[93],"rules":[96],"help":[97],"inference":[99],"system":[100,113,130,182,218],"make":[102],"decisions":[103],"in":[104,165,183],"situations":[106],"according":[107],"regulations.":[110],"has":[114],"been":[115],"integrated":[116],"on":[117],"intelligent":[119],"architecture.":[121],"Considering":[122],"user's":[124],"style,":[126],"assistance":[129],"sends":[131],"them":[132,143],"recommendations,":[133],"such":[134,151],"as":[135,152],"adjusting":[136],"speed":[137],"or":[138,146,155],"choosing":[139],"alternative":[140,254],"routes,":[141],"allowing":[142],"prevent":[145],"mitigate":[147],"negative":[148],"events,":[150],"crashes":[154],"jams.":[157],"We":[158],"carry":[159],"out":[160],"experiments":[164,192],"order":[166],"test":[168],"expressiveness":[170],"along":[174],"effectiveness":[177],"overall":[180],"simulated":[185],"situations.":[187],"results":[189],"show":[193],"expressive":[198],"enough":[199],"proposed":[206],"scenarios,":[208],"F1":[211,228],"score":[212,229],"0.9.":[214],"In":[215,239],"addition,":[216],"allows":[219],"proper":[220],"drivers'":[224],"behavior,":[225],"0.84,":[231],"outperforming":[232],"Random":[233],"Forest":[234],"Naive":[236],"Bayes":[237],"classifiers.":[238],"simulation":[241],"experiments,":[242],"we":[243],"observe":[244],"drivers":[249],"who":[250],"are":[251],"recommended":[252],"route":[255],"experience":[256],"average":[258],"time":[259],"gain":[260],"66.4%,":[262],"showing":[263],"utility":[265],"proposal.":[268]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
