{"id":"https://openalex.org/W2121941764","doi":"https://doi.org/10.1109/icves.2009.5400320","title":"Parameterization of traffic flow using Sammon-Fuzzy clustering","display_name":"Parameterization of traffic flow using Sammon-Fuzzy clustering","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2121941764","doi":"https://doi.org/10.1109/icves.2009.5400320","mag":"2121941764"},"language":"en","primary_location":{"id":"doi:10.1109/icves.2009.5400320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves.2009.5400320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","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/A5046269515","display_name":"Jaidev Deshpande","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jaidev Deshpande","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091369498","display_name":"Ketan Dande","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ketan Dande","raw_affiliation_strings":["The Ohio State University, Columbus, United States"],"affiliations":[{"raw_affiliation_string":"The Ohio State University, Columbus, United States","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018150112","display_name":"Varun Deshpande","orcid":"https://orcid.org/0000-0001-8960-625X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Varun Deshpande","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5113732700","display_name":"Aditya Abhyankar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aditya Abhyankar","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046269515"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.669,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78022989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"146","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9965000152587891,"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":0.9965000152587891,"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/T10524","display_name":"Traffic control and management","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9904000163078308,"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":0.795968234539032},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6529659032821655},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5891366004943848},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.54239821434021},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5189561247825623},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5162348747253418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46966421604156494},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.44868481159210205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.327242374420166}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.795968234539032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6529659032821655},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5891366004943848},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.54239821434021},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5189561247825623},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5162348747253418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46966421604156494},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.44868481159210205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.327242374420166},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icves.2009.5400320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves.2009.5400320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8199999928474426,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1490760466","https://openalex.org/W1678713393","https://openalex.org/W2006379203","https://openalex.org/W2020448260","https://openalex.org/W2021437797","https://openalex.org/W2043760168","https://openalex.org/W2056795974","https://openalex.org/W2095797625","https://openalex.org/W2099860849","https://openalex.org/W2134262590","https://openalex.org/W2135463994","https://openalex.org/W2136398072","https://openalex.org/W2483347049","https://openalex.org/W2963011350","https://openalex.org/W2985270678","https://openalex.org/W4244494905","https://openalex.org/W6651772212","https://openalex.org/W6674980194"],"related_works":["https://openalex.org/W2945382830","https://openalex.org/W4224807364","https://openalex.org/W2596632494","https://openalex.org/W2535986621","https://openalex.org/W1980197432","https://openalex.org/W2382432689","https://openalex.org/W2000612978","https://openalex.org/W4388110928","https://openalex.org/W1483228865","https://openalex.org/W4292434959"],"abstract_inverted_index":{"Modelling":[0],"the":[1,8,36,50,78],"traffic":[2,21,56,76,81],"conditions":[3],"has":[4],"become":[5],"necessary":[6],"in":[7,23,60],"modern":[9],"connected":[10],"society.":[11],"We":[12],"have":[13],"attempted":[14],"to":[15,19,48,71],"use":[16],"clustering":[17,46],"algorithms":[18,47],"classify":[20],"flow":[22,57],"and":[24,63,80,84],"around":[25],"Pune":[26],"city":[27,79],"into":[28],"classes":[29],"representing":[30],"geographical":[31],"locations":[32],"of":[33,35,55],"sampling":[34],"data.":[37,51],"The":[38,67],"algorithm":[39,68],"employs":[40],"Sammon's":[41],"mapping":[42],"along":[43],"with":[44],"fuzzy":[45],"cluster":[49],"Such":[52],"high-end":[53],"parameterization":[54],"can":[58],"help":[59],"better":[61],"control":[62],"real-time":[64],"modelling":[65],"methods.":[66],"is":[69,88],"applied":[70],"two":[72],"different":[73],"databases":[74],"-":[75],"inside":[77],"outside":[82],"it":[83],"approximately":[85],"95%":[86],"accuracy":[87],"obtained":[89],"across":[90],"vivid":[91],"conditions.":[92]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
