{"id":"https://openalex.org/W1544982516","doi":"https://doi.org/10.1109/sysose.2015.7151986","title":"Cluster-based correlation of severe braking events with time and location","display_name":"Cluster-based correlation of severe braking events with time and location","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1544982516","doi":"https://doi.org/10.1109/sysose.2015.7151986","mag":"1544982516"},"language":"en","primary_location":{"id":"doi:10.1109/sysose.2015.7151986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sysose.2015.7151986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 10th System of Systems Engineering Conference (SoSE)","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/A5024907692","display_name":"Guoyan Cao","orcid":"https://orcid.org/0000-0003-2921-1920"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Guoyan Cao","raw_affiliation_strings":["Department of Mechanical Engineering, University of Houston, Houston TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Houston, Houston TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083447907","display_name":"John Michelini","orcid":null},"institutions":[{"id":"https://openalex.org/I1292974536","display_name":"Ford Motor Company (United States)","ror":"https://ror.org/00g2tkw06","country_code":"US","type":"company","lineage":["https://openalex.org/I1292974536"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Michelini","raw_affiliation_strings":["Research and Development, Ford Motor Company, Detroit, MI, USA"],"affiliations":[{"raw_affiliation_string":"Research and Development, Ford Motor Company, Detroit, MI, USA","institution_ids":["https://openalex.org/I1292974536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008167219","display_name":"Karolos Grigoriadis","orcid":"https://orcid.org/0000-0001-5091-3965"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karolos Grigoriadis","raw_affiliation_strings":["Department of Mechanical Engineering, University of Houston, Houston TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Houston, Houston TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032717864","display_name":"Behrouz Ebrahimi","orcid":"https://orcid.org/0000-0003-4605-5464"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Behrouz Ebrahimi","raw_affiliation_strings":["Department of Mechanical Engineering, University of Houston, Houston TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Houston, Houston TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034063251","display_name":"Matthew A. Franchek","orcid":"https://orcid.org/0000-0003-4983-0219"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew A. Franchek","raw_affiliation_strings":["Department of Mechanical Engineering, University of Houston, Houston TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Houston, Houston TX, USA","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024907692"],"corresponding_institution_ids":["https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.02850979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"187","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9577999711036682,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9577999711036682,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9502999782562256,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9283999800682068,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8644331097602844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7043684720993042},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6054810285568237},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5383345484733582},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5262207984924316},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.47701001167297363},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.42614808678627014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24167302250862122},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13067102432250977}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8644331097602844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7043684720993042},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6054810285568237},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5383345484733582},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5262207984924316},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.47701001167297363},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.42614808678627014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24167302250862122},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13067102432250977},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sysose.2015.7151986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sysose.2015.7151986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 10th System of Systems Engineering Conference (SoSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W43637044","https://openalex.org/W66982195","https://openalex.org/W139285484","https://openalex.org/W1570834090","https://openalex.org/W1594924988","https://openalex.org/W1603746922","https://openalex.org/W1973041621","https://openalex.org/W1987801991","https://openalex.org/W1988096524","https://openalex.org/W1990368529","https://openalex.org/W1992419399","https://openalex.org/W1994096159","https://openalex.org/W1997334892","https://openalex.org/W2021901779","https://openalex.org/W2026785701","https://openalex.org/W2028425419","https://openalex.org/W2070541676","https://openalex.org/W2071949631","https://openalex.org/W2094350745","https://openalex.org/W2108706544","https://openalex.org/W2122064512","https://openalex.org/W2127615881","https://openalex.org/W2140403765","https://openalex.org/W2144369083","https://openalex.org/W2159919201","https://openalex.org/W2161521785","https://openalex.org/W2164031777","https://openalex.org/W2171034893","https://openalex.org/W2295665070","https://openalex.org/W4289255343","https://openalex.org/W6678799910","https://openalex.org/W6986680717"],"related_works":["https://openalex.org/W1999117613","https://openalex.org/W2040929534","https://openalex.org/W3022637481","https://openalex.org/W4224807364","https://openalex.org/W2596632494","https://openalex.org/W2945382830","https://openalex.org/W4312412183","https://openalex.org/W4292434959","https://openalex.org/W2535986621","https://openalex.org/W4388110928"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,105],"systematic":[4],"strategy":[5],"is":[6,23,50,72],"proposed":[7,20,117],"to":[8,38,62,75,114],"identify":[9],"severe":[10,45,126],"braking":[11,46,127],"events":[12,134],"occurrence":[13,135],"correlation":[14,68,80,147],"with":[15,52,104],"time":[16,41],"and":[17,29,35,42,58,77,108,131,139],"location.":[18],"The":[19],"approach,":[21],"which":[22],"constructed":[24],"based":[25],"on":[26,82],"batch":[27,87],"clustering":[28,31,49,57,61,71,88],"real-time":[30,36,79],"techniques,":[32],"incorporates":[33],"historical":[34],"data":[37,98,106],"predict":[39],"the":[40,53,66,83,86,116,124,133,142,145],"location":[43],"of":[44,55,85,99,123,144],"events.":[47],"Batch":[48],"implemented":[51],"combination":[54],"subtractive":[56],"fuzzy":[59],"c-means":[60],"generate":[63],"clusters":[64],"representing":[65],"initial":[67],"patterns.":[69,148],"Real-time":[70,96],"then":[73],"developed":[74],"create":[76],"update":[78],"patterns":[81],"foundation":[84],"using":[89],"evolving":[90],"Gustafson":[91],"Kessel":[92],"Like":[93],"(eGKL)":[94],"algorithm.":[95],"driving":[97],"operating":[100],"vehicles":[101],"each":[102],"equipped":[103],"acquisition":[107],"wireless":[109],"communication":[110],"platform":[111],"are":[112],"used":[113],"validate":[115],"strategy.":[118],"Drivers":[119],"can":[120],"be":[121],"notified":[122],"potential":[125],"locations":[128,140],"through":[129,141],"maps,":[130],"recognize":[132],"at":[136],"different":[137],"times":[138],"variation":[143],"identified":[146]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}