{"id":"https://openalex.org/W1969912511","doi":"https://doi.org/10.1109/itsc.2014.6957941","title":"Analysis of urban freeway traffic flow characteristics based on frequent pattern tree","display_name":"Analysis of urban freeway traffic flow characteristics based on frequent pattern tree","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1969912511","doi":"https://doi.org/10.1109/itsc.2014.6957941","mag":"1969912511"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2014.6957941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2014.6957941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"17th International IEEE Conference on Intelligent Transportation Systems (ITSC)","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/A5048326379","display_name":"Lei Lin","orcid":"https://orcid.org/0000-0002-1161-8565"},"institutions":[{"id":"https://openalex.org/I1327163397","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08","country_code":"US","type":"education","lineage":["https://openalex.org/I1327163397"]},{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lei Lin","raw_affiliation_strings":["Department of Civil, Structural & Environmental Engineering, State University of New York, USA","Department of Civil, Structural and Environmental Engineering University at Buffalo, State University of New York, USA,"],"affiliations":[{"raw_affiliation_string":"Department of Civil, Structural & Environmental Engineering, State University of New York, USA","institution_ids":["https://openalex.org/I1327163397"]},{"raw_affiliation_string":"Department of Civil, Structural and Environmental Engineering University at Buffalo, State University of New York, USA,","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001462600","display_name":"Kai Yuan","orcid":"https://orcid.org/0000-0002-6684-296X"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Kai Yuan","raw_affiliation_strings":["Department of Civil Engineering & Geoscience, Delft University of Technology, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering & Geoscience, Delft University of Technology, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045263519","display_name":"Shuyun Ren","orcid":"https://orcid.org/0000-0002-9393-5117"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shuyun Ren","raw_affiliation_strings":["Faculty of Applied Science and Textiles, The Hong Kong Polytechnic University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Faculty of Applied Science and Textiles, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048326379"],"corresponding_institution_ids":["https://openalex.org/I1327163397","https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":0.8161,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76594777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1719","last_page":"1725"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9947999715805054,"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/T10524","display_name":"Traffic control and management","score":0.9865000247955322,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.652275562286377},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5741366744041443},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.4887087345123291},{"id":"https://openalex.org/keywords/traffic-volume","display_name":"Traffic volume","score":0.48522165417671204},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4666483402252197},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4326590597629547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42507773637771606},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4222298562526703},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.40811803936958313},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.39431941509246826},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3585173487663269},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32895246148109436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2557453513145447},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11632996797561646}],"concepts":[{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.652275562286377},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5741366744041443},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.4887087345123291},{"id":"https://openalex.org/C168443057","wikidata":"https://www.wikidata.org/wiki/Q7001223","display_name":"Traffic volume","level":2,"score":0.48522165417671204},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4666483402252197},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4326590597629547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42507773637771606},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4222298562526703},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.40811803936958313},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.39431941509246826},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3585173487663269},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32895246148109436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2557453513145447},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11632996797561646},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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":2,"locations":[{"id":"doi:10.1109/itsc.2014.6957941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2014.6957941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"17th International IEEE Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/10788","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/10788","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W192166757","https://openalex.org/W561771695","https://openalex.org/W1494327156","https://openalex.org/W1965721110","https://openalex.org/W2011430131","https://openalex.org/W2018420971","https://openalex.org/W2024603446","https://openalex.org/W2079880609","https://openalex.org/W2093921901","https://openalex.org/W2095797625","https://openalex.org/W2103007697","https://openalex.org/W2115482638","https://openalex.org/W2121602656","https://openalex.org/W2140776319","https://openalex.org/W2531615355","https://openalex.org/W2604445681","https://openalex.org/W6607791194","https://openalex.org/W6615688658","https://openalex.org/W6678457053","https://openalex.org/W6728371057"],"related_works":["https://openalex.org/W757926711","https://openalex.org/W3141771572","https://openalex.org/W2143853213","https://openalex.org/W1509410003","https://openalex.org/W2791931166","https://openalex.org/W2376376438","https://openalex.org/W2048598777","https://openalex.org/W2112329016","https://openalex.org/W2317459805","https://openalex.org/W2725565520"],"abstract_inverted_index":{"Understanding":[0],"the":[1,38,61,66,69,72,89,98,104,122,133,138,143,165,170,176,181],"characteristics":[2],"of":[3,34,37,60,65,71,80,92,129,132,137,146,164,169],"urban":[4],"freeway":[5],"traffic":[6,13,22,25,177,198],"flow":[7,26],"plays":[8],"an":[9],"important":[10],"role":[11],"in":[12],"management.":[14],"This":[15],"paper":[16],"was":[17,86,118],"based":[18,111],"on":[19,112,175],"a":[20,32],"detailed":[21],"dataset":[23,74,81,107,113],"including":[24],"rate,":[27],"density":[28,150],"and":[29,63,88,135,149,154,167,200],"speed":[30],"with":[31,97,156],"resolution":[33],"fifteen":[35],"minutes":[36],"whole":[39],"year":[40],"2005":[41],"from":[42],"detector":[43],"W64-07":[44],"at":[45],"highway":[46],"I-64":[47],"West,":[48],"Virginia.":[49],"These":[50,190],"three":[51,55],"variables,":[52],"plus":[53],"another":[54],"corresponding":[56],"ones:":[57],"season,":[58,130,162],"day":[59,131,163,171],"week":[62,134,166],"hour":[64,136,168],"day,":[67],"form":[68],"records":[70],"new":[73,106],"I.":[75],"Then":[76],"for":[77,197],"each":[78,93,157],"variable":[79,94],"I,":[82],"fuzzy":[83],"c-means":[84],"method":[85],"applied,":[87],"continuous":[90],"values":[91],"were":[95,152,187],"replaced":[96],"discrete":[99],"cluster":[100],"values,":[101],"which":[102],"produced":[103],"second":[105],"II.":[108],"At":[109],"last,":[110],"II,":[114],"frequent":[115,124,182,191],"pattern":[116],"tree":[117],"taken":[119],"to":[120],"find":[121],"most":[123],"patterns":[125,183,192],"under":[126,184],"certain":[127],"combinations":[128],"day.":[139],"For":[140],"these":[141],"patterns,":[142],"statistical":[144],"features":[145],"volume,":[147],"velocity":[148],"distributions":[151],"investigated":[153],"compared":[155],"other.":[158],"The":[159],"results":[160],"show":[161],"all":[172],"have":[173],"impacts":[174],"characteristics.":[178],"Besides":[179],"that,":[180],"congestion":[185],"conditions":[186],"also":[188],"analyzed.":[189],"can":[193],"provide":[194],"useful":[195],"information":[196],"control":[199],"guidance.":[201]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}