{"id":"https://openalex.org/W3203075820","doi":"https://doi.org/10.1080/15472450.2021.1955210","title":"Traffic state classification and prediction based on trajectory data","display_name":"Traffic state classification and prediction based on trajectory data","publication_year":2021,"publication_date":"2021-09-27","ids":{"openalex":"https://openalex.org/W3203075820","doi":"https://doi.org/10.1080/15472450.2021.1955210","mag":"3203075820"},"language":"en","primary_location":{"id":"doi:10.1080/15472450.2021.1955210","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2021.1955210","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of 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/A5101863322","display_name":"Yu Yuan","orcid":"https://orcid.org/0000-0003-4703-1843"},"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 Yuan","raw_affiliation_strings":["Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University","Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University","institution_ids":[]},{"raw_affiliation_string":"Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048269853","display_name":"Wenbo Zhang","orcid":"https://orcid.org/0000-0003-2002-7852"},"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":"Wenbo Zhang","raw_affiliation_strings":["Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University","Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University","institution_ids":[]},{"raw_affiliation_string":"Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026818460","display_name":"Xun Yang","orcid":"https://orcid.org/0000-0002-6076-7145"},"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":"Xun Yang","raw_affiliation_strings":["Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University","Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University","institution_ids":[]},{"raw_affiliation_string":"Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355854","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-3295-2917"},"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":"Yang Liu","raw_affiliation_strings":["Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University","Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University","institution_ids":[]},{"raw_affiliation_string":"Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320722","display_name":"Zhiyuan Liu","orcid":"https://orcid.org/0000-0002-6331-0810"},"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":"Zhiyuan Liu","raw_affiliation_strings":["Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University","Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University","institution_ids":[]},{"raw_affiliation_string":"Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100391896","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-1717-5785"},"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 Wang","raw_affiliation_strings":["Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University","Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University","institution_ids":[]},{"raw_affiliation_string":"Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5048269853","https://openalex.org/A5100320722"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":2.1851,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.8629911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"29","issue":"4","first_page":"365","last_page":"379"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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":1.0,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.998199999332428,"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":0.9969000220298767,"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/computer-science","display_name":"Computer science","score":0.6537538766860962},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5931649208068848},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5726413130760193},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.5634908080101013},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5526078343391418},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.526477575302124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5168164968490601},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5111532807350159},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4987807273864746},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.47369837760925293},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4714173972606659},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4487520456314087},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42311835289001465},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.4201725125312805},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4122350513935089},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41006284952163696},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21897518634796143}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6537538766860962},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5931649208068848},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5726413130760193},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5634908080101013},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5526078343391418},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.526477575302124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5168164968490601},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5111532807350159},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4987807273864746},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.47369837760925293},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4714173972606659},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4487520456314087},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42311835289001465},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.4201725125312805},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4122350513935089},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41006284952163696},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21897518634796143},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/15472450.2021.1955210","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2021.1955210","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G8603569010","display_name":null,"funder_award_id":"2016YFE0206800-4","funder_id":"https://openalex.org/F4320321537","funder_display_name":"State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center"}],"funders":[{"id":"https://openalex.org/F4320321537","display_name":"State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center","ror":"https://ror.org/001ycj259"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1992419399","https://openalex.org/W2005409769","https://openalex.org/W2016025229","https://openalex.org/W2021002141","https://openalex.org/W2057918527","https://openalex.org/W2061741411","https://openalex.org/W2128415924","https://openalex.org/W2145438115","https://openalex.org/W2183679353","https://openalex.org/W2567289819","https://openalex.org/W2579495707","https://openalex.org/W2592554668","https://openalex.org/W2907431906","https://openalex.org/W2908678806","https://openalex.org/W2912985636","https://openalex.org/W2914743966","https://openalex.org/W2975127965","https://openalex.org/W2981570580","https://openalex.org/W2982492442","https://openalex.org/W2988773531","https://openalex.org/W2995732397","https://openalex.org/W3010118086","https://openalex.org/W3011097042","https://openalex.org/W3024480504","https://openalex.org/W3038540520","https://openalex.org/W3043572562","https://openalex.org/W3044523339","https://openalex.org/W3106957026","https://openalex.org/W4234432229","https://openalex.org/W6730267373"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W2766514146","https://openalex.org/W2885516856","https://openalex.org/W4289703016","https://openalex.org/W3094138326","https://openalex.org/W4310224730"],"abstract_inverted_index":{"With":[0],"the":[1,20,30,70,87,102,117,142,175,179],"rapid":[2],"increasing":[3],"of":[4,24],"car":[5,76],"usage,":[6],"congestion":[7],"is":[8,84,108],"becoming":[9],"more":[10,12],"and":[11,22,44,65,68,99,135,144,155],"severe":[13],"in":[14,104,171],"metropolitans.":[15],"To":[16],"tackle":[17],"this":[18,53,105],"problem,":[19],"classification":[21],"prediction":[23],"traffic":[25,46,71,88,96,118,136],"states":[26,47],"are":[27,162],"vital":[28],"for":[29,95,115,132],"authority":[31],"to":[32,42,86,110],"quickly":[33],"react.":[34],"This":[35],"study":[36,169],"proposes":[37],"a":[38,80,92],"machine":[39],"learning":[40],"method":[41],"identify":[43],"predict":[45],"at":[48],"small":[49],"region":[50],"levels.":[51],"In":[52],"paper,":[54],"we":[55],"compare":[56],"two":[57,121],"different":[58,128],"spatial":[59,143],"division":[60],"methods,":[61],"namely":[62],"rectangular":[63],"grids":[64,67],"hexagonal":[66],"measure":[69],"characteristics":[72],"through":[73],"aggregating":[74],"floating":[75],"trajectory":[77],"data.":[78],"Then":[79],"dimensionality":[81],"reduction":[82],"technique":[83],"applied":[85],"parameter,":[89],"followed":[90],"by":[91],"clustering":[93],"model":[94,161,177],"state":[97,137],"recognition":[98],"labeling.":[100],"From":[101],"analysis":[103],"study,":[106],"speed":[107,134],"found":[109],"be":[111],"an":[112],"important":[113],"feature":[114],"classifying":[116],"state.":[119],"Therefore,":[120],"Convolutional":[122],"Neural":[123],"Network":[124],"(CNN)":[125],"models":[126],"using":[127],"architecture":[129],"were":[130],"used":[131,163],"both":[133],"prediction,":[138],"which":[139],"could":[140],"consider":[141],"temporal":[145],"features":[146],"simultaneously.":[147],"Random":[148],"forest":[149],"regression,":[150],"Gradient":[151],"boosting":[152],"decision":[153],"tree":[154],"Long-short":[156],"term":[157],"memory":[158],"neural":[159],"network":[160],"as":[164],"baseline":[165,180],"models.":[166,181],"The":[167],"case":[168],"performed":[170],"Chengdu":[172],"demonstrates":[173],"that":[174],"proposed":[176],"outperforms":[178]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}