{"id":"https://openalex.org/W2169588776","doi":"https://doi.org/10.1109/ijcnn.2008.4634048","title":"Adaptive dynamic neuro-fuzzy system for traffic signal control","display_name":"Adaptive dynamic neuro-fuzzy system for traffic signal control","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2169588776","doi":"https://doi.org/10.1109/ijcnn.2008.4634048","mag":"2169588776"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2008.4634048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-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/A5100455323","display_name":"Tao Li","orcid":"https://orcid.org/0000-0002-6239-969X"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Li","raw_affiliation_strings":["Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624298","display_name":"Dongbin Zhao","orcid":"https://orcid.org/0000-0001-8218-9633"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Dongbin Zhao","raw_affiliation_strings":["Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy and Sciences, Beijing, China","University of Arizona Tucson, USA"],"affiliations":[{"raw_affiliation_string":"Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"University of Arizona Tucson, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019541846","display_name":"Jianqiang Yi","orcid":"https://orcid.org/0000-0003-3268-9482"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Yi","raw_affiliation_strings":["Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100455323"],"corresponding_institution_ids":["https://openalex.org/I4210094879"],"apc_list":null,"apc_paid":null,"fwci":2.4675,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.91059253,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1840","last_page":"1846"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14011","display_name":"Elevator Systems and Control","score":0.9948999881744385,"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/T14011","display_name":"Elevator Systems and Control","score":0.9948999881744385,"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/T10524","display_name":"Traffic control and management","score":0.9858999848365784,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9207000136375427,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/controller","display_name":"Controller (irrigation)","score":0.7305611968040466},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6743709444999695},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6418554782867432},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5858697891235352},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5782095789909363},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5772698521614075},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.5319528579711914},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.49738267064094543},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.48405876755714417},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4365023970603943},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.43401193618774414},{"id":"https://openalex.org/keywords/control-system","display_name":"Control system","score":0.4211421310901642},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.41504842042922974},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.414569228887558},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.39293110370635986},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.24359166622161865},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2321753203868866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21490243077278137},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12093517184257507},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.06439471244812012}],"concepts":[{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.7305611968040466},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6743709444999695},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6418554782867432},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5858697891235352},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5782095789909363},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5772698521614075},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.5319528579711914},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.49738267064094543},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.48405876755714417},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4365023970603943},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.43401193618774414},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.4211421310901642},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.41504842042922974},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.414569228887558},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.39293110370635986},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.24359166622161865},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2321753203868866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21490243077278137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12093517184257507},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.06439471244812012},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2008.4634048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1569400564","https://openalex.org/W1585758603","https://openalex.org/W1896906900","https://openalex.org/W1898259180","https://openalex.org/W1986659999","https://openalex.org/W1988087504","https://openalex.org/W2014728147","https://openalex.org/W2023215639","https://openalex.org/W2042544784","https://openalex.org/W2047757629","https://openalex.org/W2068074661","https://openalex.org/W2073258676","https://openalex.org/W2074606783","https://openalex.org/W2081197749","https://openalex.org/W2097694818","https://openalex.org/W2123154005","https://openalex.org/W2133321814","https://openalex.org/W2141326110","https://openalex.org/W2147999263","https://openalex.org/W2163093512","https://openalex.org/W2172081845","https://openalex.org/W3213472335","https://openalex.org/W4205471131","https://openalex.org/W6683930167","https://openalex.org/W6804409665"],"related_works":["https://openalex.org/W2785395359","https://openalex.org/W1549951490","https://openalex.org/W2247295643","https://openalex.org/W2111426611","https://openalex.org/W1966629635","https://openalex.org/W3159983598","https://openalex.org/W2357953609","https://openalex.org/W2367175432","https://openalex.org/W2374727787","https://openalex.org/W2288384671"],"abstract_inverted_index":{"This":[0,44],"paper":[1],"aims":[2],"at":[3],"developing":[4],"near":[5,156],"optimal":[6,157],"traffic":[7,20,147,151],"signal":[8,21],"control":[9,15,51,158],"for":[10,49,60,67],"multi-intersection":[11],"in":[12,19,28,94,160],"city.":[13],"Fuzzy":[14],"is":[16,42,132],"widely":[17],"used":[18,48],"control.":[22],"For":[23],"improving":[24],"fuzzy":[25],"controlpsilas":[26],"adaptability":[27],"fluctuate":[29],"states,":[30],"a":[31,155,161],"controller":[32,45,102,131,140,170,178],"combined":[33],"with":[34,98,179],"neuro-fuzzy":[35,62,71,104,111],"system":[36,63,72,105,112],"and":[37,65,80,117,153],"adaptive":[38,55],"dynamic":[39,56],"programming":[40,57],"(ADP)":[41],"designed.":[43],"can":[46,141],"be":[47,91,142],"cooperative":[50],"of":[52,121,129],"multi-intersection.":[53],"The":[54,70,110,139],"gives":[58],"reinforcement":[59,79],"good":[61],"behavior":[64],"punishment":[66],"poor":[68],"behavior.":[69],"adjusts":[73],"its":[74],"parameters":[75],"according":[76],"to":[77,86,90,133,144],"the":[78,95,107,119,127,130,135,168,177],"punishment.":[81],"Then,":[82],"those":[83],"actions":[84],"leading":[85],"better":[87],"results":[88,165],"tend":[89],"chosen":[92],"preferentially":[93],"future.":[96],"Comparing":[97],"traditional":[99,122],"ADP,":[100],"this":[101,125],"uses":[103],"as":[106],"action":[108],"network.":[109],"offers":[113],"some":[114],"existing":[115],"knowledge":[116],"reduces":[118],"randomness":[120],"ADP.":[123],"In":[124],"paper,":[126],"objective":[128],"minimize":[134],"average":[136,173],"vehicular":[137,174],"delay.":[138],"trained":[143,169],"adapt":[145],"fluctuant":[146],"states":[148],"by":[149],"real-time":[150],"data,":[152],"achieves":[154,171],"result":[159],"long":[162],"run.":[163],"Simulation":[164],"show":[166],"that":[167],"shorter":[172],"delay":[175],"than":[176],"initial":[180],"membership":[181],"function.":[182]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}