{"id":"https://openalex.org/W3011209807","doi":"https://doi.org/10.1109/tits.2020.2979924","title":"Speed Prediction Based on a Traffic Factor State Network Model","display_name":"Speed Prediction Based on a Traffic Factor State Network Model","publication_year":2020,"publication_date":"2020-03-16","ids":{"openalex":"https://openalex.org/W3011209807","doi":"https://doi.org/10.1109/tits.2020.2979924","mag":"3011209807"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2020.2979924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.2979924","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5100448759","display_name":"Weibin Zhang","orcid":"https://orcid.org/0000-0002-0701-9690"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weibin Zhang","raw_affiliation_strings":["School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-0701-9690","affiliations":[{"raw_affiliation_string":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003898354","display_name":"Yaoyao Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoyao Feng","raw_affiliation_strings":["School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038706762","display_name":"Kai L\u00fc","orcid":"https://orcid.org/0000-0002-2010-1875"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Lu","raw_affiliation_strings":["State Key Laboratory of Subtropical Building Science, School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2010-1875","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Subtropical Building Science, School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036325045","display_name":"Yuhang Song","orcid":"https://orcid.org/0009-0007-3381-8983"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang Song","raw_affiliation_strings":["School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012268687","display_name":"Yinhai Wang","orcid":"https://orcid.org/0000-0002-4180-5628"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yinhai Wang","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"raw_orcid":"https://orcid.org/0000-0002-4180-5628","affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100448759"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":2.2169,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.86314446,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"5","first_page":"3112","last_page":"3122"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9990000128746033,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9918000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.663769006729126},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6411799192428589},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.6016998291015625},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.5466693639755249},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.522853672504425},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.43638840317726135},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4300325810909271},{"id":"https://openalex.org/keywords/network-traffic-simulation","display_name":"Network traffic simulation","score":0.4213160276412964},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24486187100410461},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.188053697347641},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.15907016396522522},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.14849361777305603},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14368528127670288},{"id":"https://openalex.org/keywords/network-traffic-control","display_name":"Network traffic control","score":0.1322389543056488},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12672847509384155},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.12489143013954163}],"concepts":[{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.663769006729126},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6411799192428589},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.6016998291015625},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.5466693639755249},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.522853672504425},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.43638840317726135},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4300325810909271},{"id":"https://openalex.org/C94168897","wikidata":"https://www.wikidata.org/wiki/Q574324","display_name":"Network traffic simulation","level":4,"score":0.4213160276412964},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24486187100410461},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.188053697347641},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.15907016396522522},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.14849361777305603},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14368528127670288},{"id":"https://openalex.org/C201100257","wikidata":"https://www.wikidata.org/wiki/Q393287","display_name":"Network traffic control","level":3,"score":0.1322389543056488},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12672847509384155},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.12489143013954163},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2020.2979924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.2979924","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G6638126037","display_name":null,"funder_award_id":"2018YFB1601100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8290030225","display_name":null,"funder_award_id":"71971116","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8606113359","display_name":null,"funder_award_id":"2018YFB1601101","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W791265519","https://openalex.org/W1514578609","https://openalex.org/W1523742540","https://openalex.org/W1605279450","https://openalex.org/W1992459313","https://openalex.org/W2009675979","https://openalex.org/W2011474891","https://openalex.org/W2020641160","https://openalex.org/W2028025807","https://openalex.org/W2031138038","https://openalex.org/W2037141248","https://openalex.org/W2065231416","https://openalex.org/W2079309933","https://openalex.org/W2093639153","https://openalex.org/W2109764844","https://openalex.org/W2117853077","https://openalex.org/W2130482380","https://openalex.org/W2156705969","https://openalex.org/W2163150789","https://openalex.org/W2164663739","https://openalex.org/W2165992156","https://openalex.org/W2283618637","https://openalex.org/W2346327447","https://openalex.org/W2391139807","https://openalex.org/W2575125657","https://openalex.org/W2588186414","https://openalex.org/W2592459743","https://openalex.org/W4232023503","https://openalex.org/W4244133811"],"related_works":["https://openalex.org/W2587362999","https://openalex.org/W2009112536","https://openalex.org/W2394010358","https://openalex.org/W1977405947","https://openalex.org/W1977153226","https://openalex.org/W2478363130","https://openalex.org/W1994698836","https://openalex.org/W1550043390","https://openalex.org/W2166765733","https://openalex.org/W2008840139"],"abstract_inverted_index":{"The":[0,235],"rapid":[1],"development":[2],"of":[3,52,69,88,155,200,208,219,230,247],"traffic":[4,14,18,22,53,62,102,112,120,129],"theory":[5],"and":[6,12,20,38,104,124,163,166,202,215,245],"information":[7],"technology":[8],"has":[9],"provided":[10],"diversified":[11],"large-scale":[13],"data":[15,29,37,41,80,210],"resources":[16],"for":[17],"research":[19],"urban":[21],"management.":[23],"At":[24],"the":[25,67,109,133,153,170,189,217,220,223,243,248],"same":[26],"time,":[27],"these":[28],"also":[30,127],"present":[31],"many":[32],"challenges,":[33],"such":[34,131,159],"as":[35,132,160],"missing":[36],"deviations":[39],"in":[40],"collection.":[42],"Many":[43],"researchers":[44],"have":[45],"reported":[46],"that":[47],"inaccurate":[48],"or":[49,71],"incomplete":[50],"measurements":[51],"variables":[54],"can":[55],"be":[56],"corrected":[57],"based":[58,175],"on":[59,176],"either":[60],"traditional":[61],"flow":[63,157],"theory,":[64],"which":[65,78,137,191],"ignores":[66],"randomness":[68],"traffic,":[70],"are":[72],"performed":[73],"using":[74],"machine":[75],"learning":[76],"methods,":[77],"emphasize":[79],"quantity,":[81],"but":[82,126],"do":[83],"not":[84,117],"make":[85],"effective":[86],"use":[87],"domain":[89],"knowledge.":[90],"This":[91,147,179],"paper":[92],"proposes":[93],"a":[94,139,182,197,227],"Traffic":[95],"Factor":[96],"State":[97],"Network":[98],"framework":[99,115],"defined":[100],"by":[101,169],"factors":[103,121,130],"their":[105],"links":[106,221],"to":[107,142,151,187,195,213],"represent":[108,143],"relationships":[110],"between":[111,222],"factors;":[113],"this":[114],"includes":[116],"only":[118],"obvious":[119],"like":[122],"volume":[123],"speed,":[125],"hidden":[128],"environmental":[134,164],"impact":[135],"factor,":[136],"is":[138,149,167],"variable":[140,148],"used":[141,150,181,194,212],"complex":[144],"road":[145,161],"conditions.":[146],"describe":[152],"influence":[154],"non-traffic":[156],"parameters":[158],"condition":[162],"factors,":[165],"estimated":[168],"EM":[171],"(Expectation":[172],"Maximization)":[173],"algorithm":[174],"historical":[177,209],"data.":[178],"study":[180],"high-order":[183],"multivariate":[184],"Markov":[185],"model":[186,199,224,229],"implement":[188],"TFSN,":[190],"was":[192,211,233],"then":[193],"establish":[196],"stochastic":[198,228],"speed":[201,231],"related":[203],"factors.":[204,225],"A":[205],"large":[206],"amount":[207],"calculate":[214],"calibrate":[216],"strength":[218],"Finally,":[226],"prediction":[232],"established.":[234],"verification":[236],"results":[237],"compared":[238],"with":[239],"actual":[240],"cases":[241],"demonstrate":[242],"validity":[244],"applicability":[246],"proposed":[249],"model.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}