{"id":"https://openalex.org/W4413277495","doi":"https://doi.org/10.1109/tase.2025.3600027","title":"An Improved Iterative Learning Control Approach Based on Random Forest and Whale Optimization for Urban Traffic Signals","display_name":"An Improved Iterative Learning Control Approach Based on Random Forest and Whale Optimization for Urban Traffic Signals","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413277495","doi":"https://doi.org/10.1109/tase.2025.3600027"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2025.3600027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3600027","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","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/A5022970665","display_name":"Fei Yan","orcid":"https://orcid.org/0000-0002-8560-9290"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Yan","raw_affiliation_strings":["School of Automation and Information Engineering, Xi&#x2019;an University of Technology, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-8560-9290","affiliations":[{"raw_affiliation_string":"School of Automation and Information Engineering, Xi&#x2019;an University of Technology, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078166265","display_name":"Xiaohan Zhang","orcid":"https://orcid.org/0009-0001-8583-5888"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohan Zhang","raw_affiliation_strings":["School of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China"],"raw_orcid":"https://orcid.org/0009-0001-8583-5888","affiliations":[{"raw_affiliation_string":"School of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086685723","display_name":"Yingmin Yi","orcid":"https://orcid.org/0000-0003-1243-3295"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingmin Yi","raw_affiliation_strings":["School of Automation and Information Engineering, Xi&#x2019;an University of Technology, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-1243-3295","affiliations":[{"raw_affiliation_string":"School of Automation and Information Engineering, Xi&#x2019;an University of Technology, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zixuan Huang","orcid":"https://orcid.org/0009-0008-0058-7880"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixuan Huang","raw_affiliation_strings":["School of Automation and Information Engineering, Xi&#x2019;an University of Technology, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0008-0058-7880","affiliations":[{"raw_affiliation_string":"School of Automation and Information Engineering, Xi&#x2019;an University of Technology, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7779,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74004164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"22","issue":null,"first_page":"20195","last_page":"20207"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9735999703407288,"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"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9735999703407288,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.946399986743927,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9304999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/iterative-learning-control","display_name":"Iterative learning control","score":0.6485756635665894},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5954383611679077},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5590977668762207},{"id":"https://openalex.org/keywords/whale","display_name":"Whale","score":0.5423499345779419},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.44521576166152954},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.41941410303115845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3971499800682068},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17754611372947693}],"concepts":[{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.6485756635665894},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5954383611679077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5590977668762207},{"id":"https://openalex.org/C2777704720","wikidata":"https://www.wikidata.org/wiki/Q1865281","display_name":"Whale","level":2,"score":0.5423499345779419},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.44521576166152954},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.41941410303115845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3971499800682068},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17754611372947693},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C505870484","wikidata":"https://www.wikidata.org/wiki/Q180538","display_name":"Fishery","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2025.3600027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3600027","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3373477439","display_name":null,"funder_award_id":"QCYRCXM-2023-076","funder_id":"https://openalex.org/F4320329850","funder_display_name":"Innovation and Entrepreneurship Talent Project of Lanzhou"}],"funders":[{"id":"https://openalex.org/F4320329850","display_name":"Innovation and Entrepreneurship Talent Project of Lanzhou","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1996167873","https://openalex.org/W2005274993","https://openalex.org/W2016612524","https://openalex.org/W2040159093","https://openalex.org/W2092597063","https://openalex.org/W2138075651","https://openalex.org/W2146396918","https://openalex.org/W2194470921","https://openalex.org/W2290883490","https://openalex.org/W2556008401","https://openalex.org/W2749594142","https://openalex.org/W2807277493","https://openalex.org/W2921779020","https://openalex.org/W3013050747","https://openalex.org/W3093555615","https://openalex.org/W3129202995","https://openalex.org/W3135247268","https://openalex.org/W3156580297","https://openalex.org/W3165078976","https://openalex.org/W3190825738","https://openalex.org/W3198251575","https://openalex.org/W4200217029","https://openalex.org/W4284698894","https://openalex.org/W4308185910","https://openalex.org/W4317388187","https://openalex.org/W4360995479","https://openalex.org/W4377131222","https://openalex.org/W4386142382","https://openalex.org/W4387197149","https://openalex.org/W4391941122","https://openalex.org/W4402830560"],"related_works":["https://openalex.org/W2761624296","https://openalex.org/W4386994694","https://openalex.org/W4388738109","https://openalex.org/W2362901947","https://openalex.org/W2802282844","https://openalex.org/W2362086884","https://openalex.org/W1606071314","https://openalex.org/W2350210972","https://openalex.org/W4321217271","https://openalex.org/W2369126164"],"abstract_inverted_index":{"Iterative":[0],"learning":[1,47,75,100,124,164],"control":[2,11,43,56,64,101,152,222],"(ILC)":[3],"has":[4],"demonstrated":[5],"effectiveness":[6,214],"in":[7,32,52,209],"urban":[8,53,96],"traffic":[9,54,97],"signal":[10,44,55,98],"systems.":[12],"However,":[13],"conventional":[14],"ILC":[15],"methods":[16],"typically":[17],"require":[18],"infinite":[19],"iterations":[20],"to":[21,27,80,87,148,161,211],"achieve":[22],"theoretical":[23],"convergence":[24,30,36,113,185,229],"conditions,":[25],"leading":[26],"neglect":[28],"of":[29,63,132,166,184,215],"speed":[31,37,114,230],"practical":[33],"applications.":[34],"As":[35],"primarily":[38],"depends":[39],"on":[40,104,175],"the":[41,89,119,129,142,150,155,163,176,189,200,213,216,224],"initial":[42,69,121,130,151],"selection":[45],"and":[46,72,107,110,123,169,192,194,206,231],"gain":[48,125,165],"configuration,":[49],"current":[50],"applications":[51],"face":[57],"two":[58],"limitations:":[59],"1)":[60],"empirical":[61],"initialization":[62],"signals":[65],"often":[66],"induces":[67],"significant":[68],"iteration":[70,131,144],"errors,":[71],"2)":[73],"fixed":[74],"gains":[76],"prevent":[77],"real-time":[78],"adaptation":[79],"system":[81],"errors":[82],"during":[83],"iterations.":[84],"In":[85,128],"order":[86],"address":[88],"aforementioned":[90],"issues,":[91],"we":[92],"propose":[93],"a":[94,111,134,181],"novel":[95],"iterative":[99,120],"method":[102,226],"based":[103,174],"random":[105,136],"forest":[106,137],"whale":[108,156],"optimization,":[109],"faster":[112,228],"is":[115,146,159,172,186],"achieved":[116],"by":[117,140],"integrating":[118],"value":[122],"optimization":[126,157,171],"algorithms.":[127],"ILC,":[133],"trained":[135],"regression":[138],"model":[139],"collecting":[141],"historical":[143],"data":[145],"employed":[147],"predict":[149],"signals.":[153],"Subsequently,":[154],"algorithm":[158],"used":[160],"determine":[162],"each":[167],"iteration,":[168],"online":[170],"performed":[173],"error":[177,234],"minimum":[178],"principle.":[179],"Finally,":[180],"rigorous":[182],"proof":[183],"conducted":[187,198],"for":[188],"proposed":[190,217,225],"method,":[191],"ablation":[193],"comparative":[195],"experiments":[196],"are":[197],"using":[199],"road":[201],"network":[202],"between":[203],"Changfeng":[204],"Street":[205,208],"Xuefu":[207],"Taiyuan":[210],"verify":[212],"method.":[218],"Compared":[219],"with":[220],"other":[221],"approaches,":[223],"achieves":[227],"lower":[232],"tracking":[233],"under":[235],"varying":[236],"disturbances.":[237]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
