{"id":"https://openalex.org/W4386544112","doi":"https://doi.org/10.1007/s00500-023-09164-y","title":"RETRACTED ARTICLE: A hybrid CEEMD-GMM scheme for enhancing the detection of traffic flow on highways","display_name":"RETRACTED ARTICLE: A hybrid CEEMD-GMM scheme for enhancing the detection of traffic flow on highways","publication_year":2023,"publication_date":"2023-09-08","ids":{"openalex":"https://openalex.org/W4386544112","doi":"https://doi.org/10.1007/s00500-023-09164-y"},"language":"en","primary_location":{"id":"doi:10.1007/s00500-023-09164-y","doi":"https://doi.org/10.1007/s00500-023-09164-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00500-023-09164-y","pdf_url":null,"source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-c","cwts-core","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","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/A5060304240","display_name":"Huili Dou","orcid":"https://orcid.org/0000-0001-9018-8307","observed_orcids":["https://orcid.org/0000-0001-9018-8307"]},"institutions":[{"id":"https://openalex.org/I4210108865","display_name":"Zhejiang Institute of Communications","ror":"https://ror.org/01q17sd51","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108865"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huili Dou","raw_affiliation_strings":["Zhejiang Institute of Communications, Hangzhou, 310012, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Institute of Communications, Hangzhou, 310012, Zhejiang, China","institution_ids":["https://openalex.org/I4210108865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405020","display_name":"Yuanyuan Liu","orcid":"https://orcid.org/0000-0001-6076-9733","observed_orcids":["https://orcid.org/0000-0001-6076-9733","https://orcid.org/0009-0009-7948-6843"]},"institutions":[{"id":"https://openalex.org/I4210108865","display_name":"Zhejiang Institute of Communications","ror":"https://ror.org/01q17sd51","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108865"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Liu","raw_affiliation_strings":["Zhejiang Institute of Communications, Hangzhou, 310012, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Institute of Communications, Hangzhou, 310012, Zhejiang, China","institution_ids":["https://openalex.org/I4210108865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101900250","display_name":"Sirui Chen","orcid":"https://orcid.org/0000-0003-3338-3063","observed_orcids":["https://orcid.org/0000-0003-3338-3063"]},"institutions":[{"id":"https://openalex.org/I4210108865","display_name":"Zhejiang Institute of Communications","ror":"https://ror.org/01q17sd51","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108865"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sirui Chen","raw_affiliation_strings":["Zhejiang Institute of Communications, Hangzhou, 310012, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Institute of Communications, Hangzhou, 310012, Zhejiang, China","institution_ids":["https://openalex.org/I4210108865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023780872","display_name":"Hongyang Zhao","orcid":"https://orcid.org/0000-0003-3531-2955","observed_orcids":["https://orcid.org/0000-0003-3531-2955"]},"institutions":[{"id":"https://openalex.org/I4210108865","display_name":"Zhejiang Institute of Communications","ror":"https://ror.org/01q17sd51","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108865"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyang Zhao","raw_affiliation_strings":["Zhejiang Institute of Communications, Hangzhou, 310012, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Institute of Communications, Hangzhou, 310012, Zhejiang, China","institution_ids":["https://openalex.org/I4210108865"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021024982","display_name":"Hazrat Bilal","orcid":"https://orcid.org/0000-0002-7328-3705","observed_orcids":["https://orcid.org/0000-0002-7328-3705"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hazrat Bilal","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, 2300271, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, 2300271, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060304240"],"corresponding_institution_ids":["https://openalex.org/I4210108865"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":13.852,"has_fulltext":false,"cited_by_count":110,"citation_normalized_percentile":{"value":0.99704812,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"27","issue":"21","first_page":"16373","last_page":"16388"},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":9.999999747378752e-05,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/traffic-flow-prediction","display_name":"traffic flow prediction","score":0.8320000171661377},{"id":"https://openalex.org/keywords/highway-traffic","display_name":"highway traffic","score":0.9430000185966492},{"id":"https://openalex.org/keywords/complementary-ensemble-empirical-mode-decomposition","display_name":"complementary ensemble empirical mode decomposition","score":0.9110000133514404},{"id":"https://openalex.org/keywords/gaussian-mixture-model","display_name":"Gaussian mixture model","score":0.9950000047683716},{"id":"https://openalex.org/keywords/sample-entropy","display_name":"sample entropy","score":0.8180000185966492},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"histogram of oriented gradients","score":0.9829999804496765},{"id":"https://openalex.org/keywords/network-traffic-classification","display_name":"network traffic classification","score":0.5080000162124634},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"noise reduction","score":0.5759999752044678},{"id":"https://openalex.org/keywords/retracted-article","display_name":"retracted article","score":0.7409999966621399}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.62430739402771},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.5901057720184326},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5891033411026001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5872352123260498},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5416415929794312},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.4816221594810486},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4596554636955261},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45604872703552246},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3574349880218506},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.257003515958786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2470213770866394},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2029203474521637},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.15188869833946228},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15169543027877808},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.10767179727554321},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00500-023-09164-y","doi":"https://doi.org/10.1007/s00500-023-09164-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00500-023-09164-y","pdf_url":null,"source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-c","cwts-core","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8970999717712402,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"},{"score":0.7646999955177307,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2755856537","https://openalex.org/W2966299451","https://openalex.org/W2980437716","https://openalex.org/W3023742036","https://openalex.org/W3028270327","https://openalex.org/W3028691001","https://openalex.org/W3034408619","https://openalex.org/W3044055626","https://openalex.org/W3084523577","https://openalex.org/W3084896318","https://openalex.org/W3088144810","https://openalex.org/W3089744907","https://openalex.org/W3095749546","https://openalex.org/W3110381504","https://openalex.org/W3139729413","https://openalex.org/W3147948705","https://openalex.org/W3166222632","https://openalex.org/W3195116950","https://openalex.org/W4200223529","https://openalex.org/W4205333086","https://openalex.org/W4206472250","https://openalex.org/W4213445937","https://openalex.org/W4220966054","https://openalex.org/W4224281444","https://openalex.org/W4281566989","https://openalex.org/W4283072078","https://openalex.org/W4289822233","https://openalex.org/W4312298619","https://openalex.org/W4321349508","https://openalex.org/W4327744039","https://openalex.org/W4327918996","https://openalex.org/W4376115055","https://openalex.org/W4382446707","https://openalex.org/W4385380338"],"related_works":["https://openalex.org/W3092608851","https://openalex.org/W4229441599","https://openalex.org/W3008214102","https://openalex.org/W2372689360","https://openalex.org/W4412388363","https://openalex.org/W4313261021","https://openalex.org/W4404922606","https://openalex.org/W4396930134","https://openalex.org/W2999440935","https://openalex.org/W4381618633"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":30},{"year":2024,"cited_by_count":48},{"year":2023,"cited_by_count":27}],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2023-09-09T00:00:00"}