{"id":"https://openalex.org/W2809593532","doi":"https://doi.org/10.1109/tits.2018.2841800","title":"A Hybrid Model for Short-Term Traffic Volume Prediction in Massive Transportation Systems","display_name":"A Hybrid Model for Short-Term Traffic Volume Prediction in Massive Transportation Systems","publication_year":2018,"publication_date":"2018-06-19","ids":{"openalex":"https://openalex.org/W2809593532","doi":"https://doi.org/10.1109/tits.2018.2841800","mag":"2809593532"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2018.2841800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2018.2841800","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/A5024464918","display_name":"Zulong Diao","orcid":"https://orcid.org/0000-0001-6581-7511"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zulong Diao","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101594820","display_name":"Dafang Zhang","orcid":"https://orcid.org/0000-0003-0765-6857"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dafang Zhang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327844","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0001-8639-3818"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062119492","display_name":"Kun Xie","orcid":"https://orcid.org/0000-0002-2163-2723"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Xie","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102074736","display_name":"Shaoyao He","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoyao He","raw_affiliation_strings":["College of Architecture, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Architecture, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032415518","display_name":"Xin L\u00fc","orcid":"https://orcid.org/0000-0002-3547-6493"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Lu","raw_affiliation_strings":["School of Business, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Business, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066510347","display_name":"Yanbiao Li","orcid":"https://orcid.org/0000-0001-9768-0687"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanbiao Li","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5024464918"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":6.2171,"has_fulltext":false,"cited_by_count":87,"citation_normalized_percentile":{"value":0.96386078,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"20","issue":"3","first_page":"935","last_page":"946"},"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":0.9959999918937683,"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":0.9923999905586243,"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":0.6304596662521362},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5939779877662659},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5747148394584656},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.495049387216568},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4874463379383087},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4635912775993347},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.46189630031585693},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.4440896213054657},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4268525540828705},{"id":"https://openalex.org/keywords/advanced-traffic-management-system","display_name":"Advanced Traffic Management System","score":0.4224143624305725},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3408495783805847},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2502603530883789},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.18902981281280518},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15127688646316528}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6304596662521362},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5939779877662659},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5747148394584656},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.495049387216568},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4874463379383087},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4635912775993347},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.46189630031585693},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.4440896213054657},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4268525540828705},{"id":"https://openalex.org/C42693407","wikidata":"https://www.wikidata.org/wiki/Q4686317","display_name":"Advanced Traffic Management System","level":3,"score":0.4224143624305725},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3408495783805847},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2502603530883789},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.18902981281280518},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15127688646316528},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2018.2841800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2018.2841800","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":[{"display_name":"Sustainable cities and communities","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1531708000","display_name":null,"funder_award_id":"2017JJ1010","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G7973907710","display_name":null,"funder_award_id":"61572184","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8983398099","display_name":null,"funder_award_id":"61472130","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"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W180185937","https://openalex.org/W252542266","https://openalex.org/W651330626","https://openalex.org/W1574634131","https://openalex.org/W1582484699","https://openalex.org/W1907566654","https://openalex.org/W1964582215","https://openalex.org/W1967681834","https://openalex.org/W1971046812","https://openalex.org/W1973943669","https://openalex.org/W1974696541","https://openalex.org/W1975056775","https://openalex.org/W1975362087","https://openalex.org/W1977261575","https://openalex.org/W1983708160","https://openalex.org/W1994377164","https://openalex.org/W1995789178","https://openalex.org/W2007322170","https://openalex.org/W2031365860","https://openalex.org/W2036785686","https://openalex.org/W2040297119","https://openalex.org/W2047493229","https://openalex.org/W2051883862","https://openalex.org/W2069929199","https://openalex.org/W2071291375","https://openalex.org/W2077179900","https://openalex.org/W2083238230","https://openalex.org/W2085987121","https://openalex.org/W2090192376","https://openalex.org/W2121313689","https://openalex.org/W2124428761","https://openalex.org/W2125979918","https://openalex.org/W2149758038","https://openalex.org/W2150010190","https://openalex.org/W2150961139","https://openalex.org/W2160507653","https://openalex.org/W2163089819","https://openalex.org/W2171234954","https://openalex.org/W2173299659","https://openalex.org/W2428379754","https://openalex.org/W2468550033","https://openalex.org/W2546465629","https://openalex.org/W4238519965","https://openalex.org/W4298352105","https://openalex.org/W6607252422","https://openalex.org/W6621468557","https://openalex.org/W6641336177","https://openalex.org/W6678186859"],"related_works":["https://openalex.org/W3158831960","https://openalex.org/W2521728836","https://openalex.org/W2972088616","https://openalex.org/W3094593199","https://openalex.org/W4399654348","https://openalex.org/W2008793610","https://openalex.org/W4390341805","https://openalex.org/W2973192971","https://openalex.org/W4360619413","https://openalex.org/W3069032"],"abstract_inverted_index":{"The":[0,117],"prediction":[1],"of":[2,53,62],"short-term":[3],"volatile":[4],"traffic":[5,11,23,82],"becomes":[6],"increasingly":[7],"critical":[8],"for":[9],"efficient":[10,98],"engineering":[12],"in":[13,22,37,127],"intelligent":[14],"transportation":[15],"systems.":[16],"Accurate":[17],"forecast":[18,50,102,113],"results":[19,131],"can":[20,137],"assist":[21],"management":[24],"and":[25,68,70,89,106],"pedestrian":[26],"route":[27],"selection,":[28],"which":[29],"will":[30],"help":[31],"alleviate":[32],"the":[33,38,51,59,81,103,114],"huge":[34],"congestion":[35],"problem":[36],"system.":[39],"This":[40],"paper":[41],"presents":[42],"a":[43,96,107],"novel":[44,108],"hybrid":[45,135],"DTMGP":[46],"model":[47,100,111,136],"to":[48,79,101,112],"accurately":[49],"volume":[52,83],"passenger":[54,124],"flows":[55],"multi-step":[56],"ahead":[57],"with":[58,122],"comprehensive":[60],"consideration":[61],"factors":[63],"from":[64],"temporal,":[65],"origin-destination":[66],"spatial,":[67],"frequency":[69],"self-similarity":[71],"perspectives.":[72],"We":[73],"first":[74],"apply":[75],"discrete":[76],"wavelet":[77],"transform":[78],"decompose":[80],"series":[84],"into":[85],"an":[86],"appropriation":[87,104],"component":[88,105],"several":[90],"detailed":[91,115],"components.":[92,116],"Then":[93],"we":[94],"propose":[95],"more":[97],"tracking":[99],"Gaussian":[109],"process":[110],"forecasting":[118],"performance":[119],"is":[120],"evaluated":[121],"real-time":[123],"flow":[125],"data":[126],"Chongqing,":[128],"China.":[129],"Simulation":[130],"demonstrate":[132],"that":[133],"our":[134],"achieve":[138],"on":[139],"average":[140],"20%-50%":[141],"accuracy":[142],"improvement,":[143],"especially":[144],"during":[145],"rush":[146],"hours.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
