{"id":"https://openalex.org/W3047746815","doi":"https://doi.org/10.1109/tits.2020.3011700","title":"Short-Term Traffic Flow Forecasting Using Ensemble Approach Based on Deep Belief Networks","display_name":"Short-Term Traffic Flow Forecasting Using Ensemble Approach Based on Deep Belief Networks","publication_year":2020,"publication_date":"2020-08-06","ids":{"openalex":"https://openalex.org/W3047746815","doi":"https://doi.org/10.1109/tits.2020.3011700","mag":"3047746815"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2020.3011700","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.3011700","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/A5101559756","display_name":"Liu Jin","orcid":"https://orcid.org/0000-0003-3781-5927"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Jin Liu","raw_affiliation_strings":["Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems, Macau University of Science and Technology, Macao, China"],"raw_orcid":"https://orcid.org/0000-0003-3781-5927","affiliations":[{"raw_affiliation_string":"Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems, Macau University of Science and Technology, Macao, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090664309","display_name":"Naiqi Wu","orcid":"https://orcid.org/0000-0001-6782-458X"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]},{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Naiqi Wu","raw_affiliation_strings":["Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems, Macau University of Science and Technology, Macao, China","State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6782-458X","affiliations":[{"raw_affiliation_string":"Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems, Macau University of Science and Technology, Macao, China","institution_ids":["https://openalex.org/I111950717"]},{"raw_affiliation_string":"State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044196048","display_name":"Yan Qiao","orcid":"https://orcid.org/0000-0001-5162-0224"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yan Qiao","raw_affiliation_strings":["Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems, Macau University of Science and Technology, Macao, China"],"raw_orcid":"https://orcid.org/0000-0001-5162-0224","affiliations":[{"raw_affiliation_string":"Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems, Macau University of Science and Technology, Macao, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045305170","display_name":"Zhiwu Li","orcid":"https://orcid.org/0000-0003-1547-5503"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Zhiwu Li","raw_affiliation_strings":["Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems, Macau University of Science and Technology, Macao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems, Macau University of Science and Technology, Macao, China","institution_ids":["https://openalex.org/I111950717"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":3.4203,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.9239275,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"23","issue":"1","first_page":"404","last_page":"417"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9936000108718872,"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":0.9918000102043152,"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":0.6580025553703308},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.6005974411964417},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.59880530834198},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.561744749546051},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.5470852851867676},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.5196334719657898},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.4749976396560669},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4719390273094177},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4716106057167053},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.47038236260414124},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2881092131137848},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2370777726173401},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.14287593960762024},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08276417851448059}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6580025553703308},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.6005974411964417},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.59880530834198},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.561744749546051},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.5470852851867676},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.5196334719657898},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.4749976396560669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4719390273094177},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4716106057167053},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.47038236260414124},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2881092131137848},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2370777726173401},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.14287593960762024},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08276417851448059},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2020.3011700","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.3011700","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W158283968","https://openalex.org/W626441390","https://openalex.org/W1967444754","https://openalex.org/W1971757341","https://openalex.org/W1972071258","https://openalex.org/W1973943669","https://openalex.org/W1982978808","https://openalex.org/W1995687640","https://openalex.org/W1996058270","https://openalex.org/W2004353783","https://openalex.org/W2007221293","https://openalex.org/W2013050169","https://openalex.org/W2014843617","https://openalex.org/W2024558842","https://openalex.org/W2027392238","https://openalex.org/W2029050814","https://openalex.org/W2032717371","https://openalex.org/W2036785686","https://openalex.org/W2036848256","https://openalex.org/W2039211048","https://openalex.org/W2040297119","https://openalex.org/W2045420802","https://openalex.org/W2049500727","https://openalex.org/W2056069184","https://openalex.org/W2056489048","https://openalex.org/W2061062671","https://openalex.org/W2064630666","https://openalex.org/W2076063813","https://openalex.org/W2079662306","https://openalex.org/W2082533141","https://openalex.org/W2083022762","https://openalex.org/W2083396223","https://openalex.org/W2085987121","https://openalex.org/W2093286150","https://openalex.org/W2100495367","https://openalex.org/W2109177467","https://openalex.org/W2111991989","https://openalex.org/W2116064496","https://openalex.org/W2120390927","https://openalex.org/W2125817951","https://openalex.org/W2131767615","https://openalex.org/W2132711183","https://openalex.org/W2136922672","https://openalex.org/W2139606794","https://openalex.org/W2140208140","https://openalex.org/W2150010190","https://openalex.org/W2154053567","https://openalex.org/W2164513709","https://openalex.org/W2165137963","https://openalex.org/W2165991108","https://openalex.org/W2504266609","https://openalex.org/W2573587735","https://openalex.org/W2575125657","https://openalex.org/W2593182953","https://openalex.org/W2695874637","https://openalex.org/W2743198946","https://openalex.org/W2890672150","https://openalex.org/W2896314053","https://openalex.org/W2907228515","https://openalex.org/W2916664939","https://openalex.org/W2919115771","https://openalex.org/W2960749694","https://openalex.org/W2964335123","https://openalex.org/W2974087501","https://openalex.org/W3122603982","https://openalex.org/W3134596620","https://openalex.org/W4245713288","https://openalex.org/W6606592145","https://openalex.org/W6619978402","https://openalex.org/W6630348482"],"related_works":["https://openalex.org/W2081563414","https://openalex.org/W2363056446","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W3014107421","https://openalex.org/W2076661204","https://openalex.org/W2380939102","https://openalex.org/W1991001811","https://openalex.org/W2011248322","https://openalex.org/W3138397952"],"abstract_inverted_index":{"Transportation":[0],"services":[1,36],"play":[2],"an":[3,71],"increasingly":[4],"significant":[5,168],"role":[6],"for":[7,79,110],"people\u2019s":[8],"daily":[9],"lives":[10],"and":[11,19,24,48,59,100,132,145,175],"bring":[12],"a":[13,38,101],"lot":[14],"of":[15,26,34,55,63,70,155],"benefits":[16],"to":[17,37,51],"individuals":[18],"economic":[20],"development.":[21],"The":[22],"randomness":[23],"volatility":[25],"traffic":[27,42,81],"flows,":[28],"however,":[29],"constrains":[30],"the":[31,46,53,68,89,113,120,153,156,164,172],"effective":[32],"provision":[33],"transportation":[35],"certain":[39],"extent.":[40],"Precise":[41],"flow":[43,82,85],"forecasting":[44,147],"becomes":[45],"key":[47],"primary":[49],"task":[50],"realize":[52],"stability":[54],"intelligent":[56],"transport":[57],"systems":[58],"ensure":[60],"efficient":[61],"scheduling":[62],"traffic.":[64],"This":[65],"paper":[66],"investigates":[67],"application":[69],"ensemble":[72,157],"approach":[73,166],"based":[74],"on":[75],"deep":[76],"belief":[77,143],"networks":[78],"short-term":[80],"forecasting.":[83],"Traffic":[84],"data,":[86],"collected":[87],"from":[88],"real":[90],"world,":[91],"is":[92,117,138],"decomposed":[93],"into":[94],"several":[95],"Intrinsic":[96],"Mode":[97,107],"Functions":[98],"(IMFs)":[99],"residue":[102],"with":[103],"EEMD":[104],"(Ensemble":[105],"Empirical":[106],"Decomposition).":[108],"Then,":[109],"each":[111,136],"component,":[112],"essential":[114],"feature":[115],"subset":[116],"extracted":[118],"by":[119,140],"mRMR":[121],"(minimum":[122],"Redundancy":[123],"Maximum":[124],"Relevance":[125],"Feature":[126],"Selection)":[127],"method":[128],"considering":[129],"weather":[130],"conditions":[131],"day":[133],"properties.":[134],"Furthermore,":[135],"component":[137],"trained":[139],"DBN":[141,174],"(Deep":[142],"networks)":[144],"their":[146],"results":[148],"are":[149],"summed":[150],"up":[151],"as":[152],"output":[154],"model":[158],"at":[159],"last.":[160],"Results":[161],"indicate":[162],"that":[163],"proposed":[165],"achieves":[167],"performance":[169],"improvement":[170],"over":[171],"single":[173],"other":[176],"selected":[177],"methods.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":5}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
