{"id":"https://openalex.org/W2943890720","doi":"https://doi.org/10.1109/is.2018.8710574","title":"A Fully Unsupervised Framework for Scoring Driving Style","display_name":"A Fully Unsupervised Framework for Scoring Driving Style","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2943890720","doi":"https://doi.org/10.1109/is.2018.8710574","mag":"2943890720"},"language":"en","primary_location":{"id":"doi:10.1109/is.2018.8710574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is.2018.8710574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Intelligent Systems (IS)","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/A5023919804","display_name":"Ozan F\u0131rat \u00d6zg\u00fcl","orcid":null},"institutions":[{"id":"https://openalex.org/I13236232","display_name":"TOBB University of Economics and Technology","ror":"https://ror.org/03ewx7v96","country_code":"TR","type":"education","lineage":["https://openalex.org/I13236232"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ozan Firat Ozgul","raw_affiliation_strings":["Dept. of Eletrical and Eletronics Eng., TOBB ETU, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Eletrical and Eletronics Eng., TOBB ETU, Ankara, Turkey","institution_ids":["https://openalex.org/I13236232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067136405","display_name":"Mehmet \u00c7ak\u0131r","orcid":"https://orcid.org/0000-0002-1917-3070"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mehmet Ulas Cakir","raw_affiliation_strings":["Cyber Security and Big Data Directorate, STM A.S., Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cyber Security and Big Data Directorate, STM A.S., Ankara, Turkey","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034886708","display_name":"Mehmet Tan","orcid":"https://orcid.org/0000-0002-1741-0570"},"institutions":[{"id":"https://openalex.org/I13236232","display_name":"TOBB University of Economics and Technology","ror":"https://ror.org/03ewx7v96","country_code":"TR","type":"education","lineage":["https://openalex.org/I13236232"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mehmet Tan","raw_affiliation_strings":["Dept. of Eletrical and Eletronics Eng., TOBB ETU, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Eletrical and Eletronics Eng., TOBB ETU, Ankara, Turkey","institution_ids":["https://openalex.org/I13236232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080453744","display_name":"Mehmet Fatih Amasyal\u0131","orcid":"https://orcid.org/0000-0002-0404-5973"},"institutions":[{"id":"https://openalex.org/I4101805","display_name":"Y\u0131ld\u0131z Technical University","ror":"https://ror.org/0547yzj13","country_code":"TR","type":"education","lineage":["https://openalex.org/I4101805"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mehmet Fatih Amasyali","raw_affiliation_strings":["Dept. of Computer Eng., Yildiz Technical University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Eng., Yildiz Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4101805"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023150345","display_name":"Harun Taha Hayvaci","orcid":"https://orcid.org/0000-0002-6717-5484"},"institutions":[{"id":"https://openalex.org/I13236232","display_name":"TOBB University of Economics and Technology","ror":"https://ror.org/03ewx7v96","country_code":"TR","type":"education","lineage":["https://openalex.org/I13236232"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Harun Taha Hayvaci","raw_affiliation_strings":["Dept. of Eletrical and Eletronics Eng., TOBB ETU, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Eletrical and Eletronics Eng., TOBB ETU, Ankara, Turkey","institution_ids":["https://openalex.org/I13236232"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.318,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.65166236,"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":"228","last_page":"234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9984999895095825,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.7246988415718079},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6845614910125732},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6032141447067261},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.5779576301574707},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5302844643592834},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5110341310501099},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.486563116312027},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.4848819673061371},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4450737237930298},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43741488456726074},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34236258268356323},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11919108033180237},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10728353261947632}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7246988415718079},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6845614910125732},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6032141447067261},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.5779576301574707},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5302844643592834},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5110341310501099},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.486563116312027},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4848819673061371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4450737237930298},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43741488456726074},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34236258268356323},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11919108033180237},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10728353261947632},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/is.2018.8710574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is.2018.8710574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Intelligent Systems (IS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1493454437","https://openalex.org/W1669848412","https://openalex.org/W1982893028","https://openalex.org/W1999311548","https://openalex.org/W2005123750","https://openalex.org/W2011782963","https://openalex.org/W2032977109","https://openalex.org/W2044835937","https://openalex.org/W2048030021","https://openalex.org/W2053707690","https://openalex.org/W2064675550","https://openalex.org/W2071949631","https://openalex.org/W2076943964","https://openalex.org/W2119799745","https://openalex.org/W2158139315","https://openalex.org/W2221409856","https://openalex.org/W2322990480","https://openalex.org/W2479935243","https://openalex.org/W2578339457","https://openalex.org/W2768077359","https://openalex.org/W4240592325","https://openalex.org/W6637107933","https://openalex.org/W6646036881","https://openalex.org/W6683557909","https://openalex.org/W6721527053","https://openalex.org/W6745718380"],"related_works":["https://openalex.org/W3162200841","https://openalex.org/W4382644535","https://openalex.org/W2586280620","https://openalex.org/W2805505483","https://openalex.org/W2334071950","https://openalex.org/W2384744344","https://openalex.org/W2522768275","https://openalex.org/W4233932308","https://openalex.org/W1799694159","https://openalex.org/W2352938035"],"abstract_inverted_index":{"Rating":[0],"driving":[1,59,88,141,158],"performance":[2],"is":[3,38],"a":[4,11,27,34,76,86,108,117,146],"challenging":[5],"topic.":[6],"It":[7],"attracts":[8],"professionals":[9],"from":[10],"variety":[12],"of":[13,40,85,98,107,113,121,149],"domains":[14],"such":[15],"as":[16],"automotive":[17],"industry":[18],"and":[19,45,67,94,105,138,157],"insurance":[20],"companies.":[21],"In":[22],"this":[23,128],"work,":[24],"we":[25,130,144],"propose":[26],"fully":[28],"unsupervised":[29],"driver":[30],"scoring":[31,134],"framework":[32,72],"using":[33],"minimalistic":[35],"dataset":[36],"which":[37],"composed":[39],"Global":[41],"Positioning":[42],"System":[43],"(GPS)":[44],"Controller":[46],"Area":[47],"Network":[48],"(CAN":[49],"Bus)":[50],"data.":[51,160],"Based":[52],"on":[53,63,153],"the":[54,64,82,91],"natural":[55],"expectation":[56],"that":[57],"good":[58],"patterns":[60],"should":[61],"depend":[62],"road":[65,92],"type":[66],"traffic":[68,95,155],"flow":[69,156],"intensity,":[70],"our":[71],"attempts":[73],"to":[74,81],"assign":[75],"probabilistic":[77],"score":[78],"in":[79],"proportion":[80],"occurrence":[83],"probability":[84,125],"certain":[87],"style":[89,159],"given":[90],"geometry":[93],"conditions.":[96],"Quantization":[97],"these":[99],"random":[100],"variables":[101,115],"through":[102],"clustering":[103,150],"methods":[104],"learning":[106],"cooccurrence":[109],"matrix":[110],"between":[111],"clusters":[112],"distinct":[114],"provide":[116,145],"computationally":[118],"relaxed":[119],"way":[120],"otherwise":[122],"intractable":[123],"joint":[124],"estimations.":[126],"Utilizing":[127],"approach,":[129],"report":[131],"explicitly":[132],"different":[133],"results":[135],"for":[136],"aggressive":[137],"nonaggressive":[139],"labelled":[140],"experiences.":[142],"Besides,":[143],"rigorous":[147],"analysis":[148],"schemes":[151],"applied":[152],"trajectory,":[154]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}