{"id":"https://openalex.org/W2942495151","doi":"https://doi.org/10.1049/iet-its.2018.5317","title":"Dynamic traffic demand uncertainty prediction using radio\u2010frequency identification data and link volume data","display_name":"Dynamic traffic demand uncertainty prediction using radio\u2010frequency identification data and link volume data","publication_year":2019,"publication_date":"2019-04-25","ids":{"openalex":"https://openalex.org/W2942495151","doi":"https://doi.org/10.1049/iet-its.2018.5317","mag":"2942495151"},"language":"en","primary_location":{"id":"doi:10.1049/iet-its.2018.5317","doi":"https://doi.org/10.1049/iet-its.2018.5317","is_oa":false,"landing_page_url":"https://doi.org/10.1049/iet-its.2018.5317","pdf_url":null,"source":{"id":"https://openalex.org/S155689059","display_name":"IET Intelligent Transport Systems","issn_l":"1751-956X","issn":["1751-956X","1751-9578"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["ccf-c","cwts-core","doaj","dongbi-d","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Intelligent Transport Systems","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5100345691","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-0016-2902","observed_orcids":["https://orcid.org/0000-0002-0016-2902","https://orcid.org/0009-0002-6055-2790","https://orcid.org/0009-0003-4253-7121"]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["Intelligent Transportation System Research Center, Southeast University, Nanjing, People's Republic of China","Transportation Sensing and Cognition Research Center, Southeast University, Nanjing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Transportation System Research Center, Southeast University, Nanjing, People's Republic of China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Transportation Sensing and Cognition Research Center, Southeast University, Nanjing, People's Republic of China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364710","display_name":"Zhao Liu","orcid":"https://orcid.org/0000-0002-1001-2895","observed_orcids":["https://orcid.org/0000-0002-1001-2895"]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Liu","raw_affiliation_strings":["Intelligent Transportation System Research Center, Southeast University, Nanjing, People's Republic of China","Transportation Sensing and Cognition Research Center, Southeast University, Nanjing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Transportation System Research Center, Southeast University, Nanjing, People's Republic of China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Transportation Sensing and Cognition Research Center, Southeast University, Nanjing, People's Republic of China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061754827","display_name":"Xiugang Li","orcid":"https://orcid.org/0000-0001-6408-5937","observed_orcids":["https://orcid.org/0000-0001-6408-5937","https://orcid.org/0009-0003-1728-3545"]},"institutions":[{"id":"https://openalex.org/I4402554011","display_name":"Oregon Department of Transportation","ror":"https://ror.org/028tfkh72","country_code":"US","type":"government","lineage":["https://openalex.org/I4402554011"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiugang Li","raw_affiliation_strings":["Oregon Department of Transportation, Salem, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oregon Department of Transportation, Salem, USA","institution_ids":["https://openalex.org/I4402554011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101748858","display_name":"Wei Huang","orcid":"https://orcid.org/0000-0001-5217-5396","observed_orcids":["https://orcid.org/0000-0001-5217-5396"]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Huang","raw_affiliation_strings":["Intelligent Transportation System Research Center, Southeast University, Nanjing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Transportation System Research Center, Southeast University, Nanjing, People's Republic of China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021751044","display_name":"Yun Wei","orcid":"https://orcid.org/0000-0002-9703-4877","observed_orcids":["https://orcid.org/0000-0002-9703-4877"]},"institutions":[{"id":"https://openalex.org/I4210123817","display_name":"Beijing Urban Construction Design & Development Group (China)","ror":"https://ror.org/03cw0ad25","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210123817"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Wei","raw_affiliation_strings":["Beijing Urban Construction Design and Development Group Co. Ltd, Beijing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Urban Construction Design and Development Group Co. Ltd, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I4210123817"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017808266","display_name":"Jinde Cao","orcid":"https://orcid.org/0000-0003-3133-7119","observed_orcids":["https://orcid.org/0000-0003-3133-7119"]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinde Cao","raw_affiliation_strings":["Jiangsu Provincial Key Laboratory of Networked Collective Intelligence, Nanjing, People's Republic of China","School of Mathematics, and Research Center for Complex Systems and Network Sciences, Southeast University, Nanjing, People's Republic of China"],"raw_orcid":"https://orcid.org/0000-0003-3133-7119","affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Key Laboratory of Networked Collective Intelligence, Nanjing, People's Republic of China","institution_ids":[]},{"raw_affiliation_string":"School of Mathematics, and Research Center for Complex Systems and Network Sciences, Southeast University, Nanjing, People's Republic of China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041149763","display_name":"Jianhua Guo","orcid":"https://orcid.org/0000-0002-7239-653X","observed_orcids":["https://orcid.org/0000-0002-7239-653X"]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianhua Guo","raw_affiliation_strings":["Intelligent Transportation System Research Center, Southeast University, Nanjing, People's Republic of China","Jiangsu Provincial Key Laboratory of Networked Collective Intelligence, Nanjing, People's Republic of China","Transportation Sensing and Cognition Research Center, Southeast University, Nanjing, People's Republic of China"],"raw_orcid":"https://orcid.org/0000-0002-7239-653X","affiliations":[{"raw_affiliation_string":"Intelligent Transportation System Research Center, Southeast University, Nanjing, People's Republic of China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Jiangsu Provincial Key Laboratory of Networked Collective Intelligence, Nanjing, People's Republic of China","institution_ids":[]},{"raw_affiliation_string":"Transportation Sensing and Cognition Research Center, Southeast University, Nanjing, People's Republic of China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041149763"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":null,"fwci":1.2416,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.79214039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":98},"biblio":{"volume":"13","issue":"8","first_page":"1309","last_page":"1317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.002400000113993883,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.0015999999595806003,"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/dynamic-traffic-demand","display_name":"dynamic traffic demand","score":0.9620000123977661},{"id":"https://openalex.org/keywords/traffic-demand-uncertainty","display_name":"traffic demand uncertainty","score":0.8880000114440918},{"id":"https://openalex.org/keywords/uncertainty-prediction","display_name":"uncertainty prediction","score":0.628000020980835},{"id":"https://openalex.org/keywords/radio-frequency-identification","display_name":"radio frequency identification","score":0.8759999871253967},{"id":"https://openalex.org/keywords/rfid-data","display_name":"RFID data","score":0.7229999899864197},{"id":"https://openalex.org/keywords/origin-destination-matrix","display_name":"origin-destination matrix","score":0.9129999876022339},{"id":"https://openalex.org/keywords/state-space-models","display_name":"state-space model","score":0.9190000295639038},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.9990000128746033},{"id":"https://openalex.org/keywords/garch-models","display_name":"GARCH models","score":0.9959999918937683},{"id":"https://openalex.org/keywords/conditional-volatility","display_name":"conditional variance","score":0.8859999775886536},{"id":"https://openalex.org/keywords/real-time-traffic-management","display_name":"real-time traffic management","score":0.8849999904632568},{"id":"https://openalex.org/keywords/nanjing","display_name":"Nanjing","score":0.7950000166893005}],"concepts":[{"id":"https://openalex.org/C204222849","wikidata":"https://www.wikidata.org/wiki/Q104954","display_name":"Radio-frequency identification","level":2,"score":0.5950596928596497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5744464993476868},{"id":"https://openalex.org/C168443057","wikidata":"https://www.wikidata.org/wiki/Q7001223","display_name":"Traffic volume","level":2,"score":0.5385810732841492},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5343873500823975},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4932486414909363},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41717270016670227},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3652641177177429},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20813101530075073},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.17531225085258484},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11486074328422546},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1049/iet-its.2018.5317","doi":"https://doi.org/10.1049/iet-its.2018.5317","is_oa":false,"landing_page_url":"https://doi.org/10.1049/iet-its.2018.5317","pdf_url":null,"source":{"id":"https://openalex.org/S155689059","display_name":"IET Intelligent Transport Systems","issn_l":"1751-956X","issn":["1751-956X","1751-9578"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["ccf-c","cwts-core","doaj","dongbi-d","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Intelligent Transport Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.8970999717712402},{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7250000238418579}],"study_designs":[],"awards":[{"id":"https://openalex.org/G3817235804","display_name":null,"funder_award_id":"61573106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W129866430","https://openalex.org/W650209735","https://openalex.org/W1505520662","https://openalex.org/W1906884706","https://openalex.org/W1964582215","https://openalex.org/W1968398255","https://openalex.org/W1970094134","https://openalex.org/W1970460434","https://openalex.org/W1975362087","https://openalex.org/W1977171894","https://openalex.org/W1989522934","https://openalex.org/W1989839602","https://openalex.org/W1990898695","https://openalex.org/W1995315381","https://openalex.org/W1996212582","https://openalex.org/W2013758377","https://openalex.org/W2019663200","https://openalex.org/W2021116817","https://openalex.org/W2037764370","https://openalex.org/W2042493333","https://openalex.org/W2049952439","https://openalex.org/W2053032400","https://openalex.org/W2053512085","https://openalex.org/W2060140077","https://openalex.org/W2066377449","https://openalex.org/W2070578533","https://openalex.org/W2071087989","https://openalex.org/W2073297244","https://openalex.org/W2089306105","https://openalex.org/W2120732659","https://openalex.org/W2131739422","https://openalex.org/W2135604164","https://openalex.org/W2144830515","https://openalex.org/W2145527836","https://openalex.org/W2149758038","https://openalex.org/W2152965202","https://openalex.org/W2169405193","https://openalex.org/W2265497615","https://openalex.org/W2339495108","https://openalex.org/W2342427580","https://openalex.org/W2541165100","https://openalex.org/W2581761873","https://openalex.org/W2592597155","https://openalex.org/W2595127431","https://openalex.org/W2618611781","https://openalex.org/W2767975102","https://openalex.org/W2775401696"],"related_works":["https://openalex.org/W2942401326","https://openalex.org/W2767975102","https://openalex.org/W279114445","https://openalex.org/W2320832784","https://openalex.org/W1989522934","https://openalex.org/W1553828961","https://openalex.org/W2090192376","https://openalex.org/W628771384","https://openalex.org/W2789294896","https://openalex.org/W2137749533"],"abstract_inverted_index":{"Dynamic":[0],"traffic":[1,13,20,65,75,92,109,123,154],"demand":[2,21,66,93],"is":[3,28,32],"crucial":[4],"for":[5,11],"developing":[6],"effective":[7],"strategies":[8],"and":[9,15,31,72,111],"algorithms":[10],"real\u2010time":[12],"management":[14],"control.":[16],"The":[17,77,133],"uncertainty":[18,67],"of":[19,51,96,120,152],"provides":[22],"additional":[23],"information":[24],"while":[25],"its":[26],"prediction":[27,131],"very":[29],"complicated":[30],"inadequately":[33],"investigated":[34],"in":[35,94,136],"the":[36,49,56,69,73,85,90,108,117,121,141,145],"existing":[37],"literature.":[38],"Recently,":[39],"radio\u2010frequency":[40],"identification":[41],"(RFID)":[42],"technology":[43],"has":[44,144],"been":[45],"deployed":[46],"to":[47,62,88,106,115,129,148],"monitor":[48],"condition":[50],"traffic.":[52],"In":[53],"this":[54],"study,":[55],"authors":[57],"propose":[58],"a":[59,99,112],"modelling":[60,78,142],"system":[61,79,143],"predict":[63,107,150],"dynamic":[64,153],"using":[68,84],"RFID":[70,86],"data":[71,87],"link":[74],"volume.":[76],"includes":[80],"an":[81],"optimisation":[82],"model":[83,101,114],"calculate":[89],"historical":[91],"terms":[95],"origin\u2013destination":[97],"matrix,":[98],"state\u2010space":[100],"solved":[102],"by":[103],"Kalman":[104],"filter":[105],"demand,":[110],"GARCH":[113],"capture":[116],"conditional":[118],"variance":[119],"predicted":[122],"demand.":[124,155],"Performance":[125],"measures":[126],"are":[127],"applied":[128],"evaluate":[130],"accuracy.":[132],"case":[134],"study":[135],"Nanjing,":[137],"China":[138],"shows":[139],"that":[140],"desirable":[146],"performance":[147],"successfully":[149],"uncertainties":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2019-05-03T00:00:00"}
