{"id":"https://openalex.org/W2047848057","doi":"https://doi.org/10.1109/ijcnn.2014.6889477","title":"Optimal design of traffic signal controller using neural networks and fuzzy logic systems","display_name":"Optimal design of traffic signal controller using neural networks and fuzzy logic systems","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2047848057","doi":"https://doi.org/10.1109/ijcnn.2014.6889477","mag":"2047848057"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Optimal_design_of_traffic_signal_controller_using_neural_networks_and_fuzzy_logic_systems/20921626","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052433968","display_name":"Sahar Araghi","orcid":"https://orcid.org/0000-0002-2893-0539"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Sahar Araghi","raw_affiliation_strings":["Center for Intelligent Systems Research (CISR), Deakin University, Victoria, Australia","Center for Intell. Syst. Res. (CISR), Deakin Univ., Waurn Ponds, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Center for Intelligent Systems Research (CISR), Deakin University, Victoria, Australia","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"Center for Intell. Syst. Res. (CISR), Deakin Univ., Waurn Ponds, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059557438","display_name":"Abbas Khosravi","orcid":"https://orcid.org/0000-0001-6927-0744"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Abbas Khosravi","raw_affiliation_strings":["Center for Intelligent Systems Research (CISR), Deakin University, Victoria, Australia","Center for Intell. Syst. Res. (CISR), Deakin Univ., Waurn Ponds, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Center for Intelligent Systems Research (CISR), Deakin University, Victoria, Australia","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"Center for Intell. Syst. Res. (CISR), Deakin Univ., Waurn Ponds, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109097718","display_name":"Doug Creighton","orcid":null},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Doug Creighton","raw_affiliation_strings":["Center for Intelligent Systems Research (CISR), Deakin University, Victoria, Australia","Center for Intell. Syst. Res. (CISR), Deakin Univ., Waurn Ponds, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Center for Intelligent Systems Research (CISR), Deakin University, Victoria, Australia","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"Center for Intell. Syst. Res. (CISR), Deakin Univ., Waurn Ponds, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052433968"],"corresponding_institution_ids":["https://openalex.org/I149704539"],"apc_list":null,"apc_paid":null,"fwci":1.2286,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.82811357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"23","issue":null,"first_page":"42","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9994000196456909,"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/T10524","display_name":"Traffic control and management","score":0.9994000196456909,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9984999895095825,"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":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.7103112936019897},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7076953649520874},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6756693124771118},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6199508905410767},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.521007776260376},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.515556812286377},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4880179464817047},{"id":"https://openalex.org/keywords/intelligent-control","display_name":"Intelligent control","score":0.48378822207450867},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4766543507575989},{"id":"https://openalex.org/keywords/signal-timing","display_name":"Signal timing","score":0.47465401887893677},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.46261364221572876},{"id":"https://openalex.org/keywords/traffic-signal","display_name":"Traffic signal","score":0.4388324022293091},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4217199683189392},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39464014768600464},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18495017290115356}],"concepts":[{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.7103112936019897},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7076953649520874},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6756693124771118},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6199508905410767},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.521007776260376},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.515556812286377},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4880179464817047},{"id":"https://openalex.org/C82327864","wikidata":"https://www.wikidata.org/wiki/Q835100","display_name":"Intelligent control","level":2,"score":0.48378822207450867},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4766543507575989},{"id":"https://openalex.org/C2776006172","wikidata":"https://www.wikidata.org/wiki/Q7512741","display_name":"Signal timing","level":3,"score":0.47465401887893677},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.46261364221572876},{"id":"https://openalex.org/C2987419075","wikidata":"https://www.wikidata.org/wiki/Q8004","display_name":"Traffic signal","level":2,"score":0.4388324022293091},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4217199683189392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39464014768600464},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18495017290115356},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30071607","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402457","display_name":"Deakin Research Online (Deakin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:figshare.com:article/20921626","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Optimal_design_of_traffic_signal_controller_using_neural_networks_and_fuzzy_logic_systems/20921626","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:researchbank.swinburne.edu.au:f0def342-c6b2-493f-9e15-8db9d7699f8d/1","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.3/441735","pdf_url":null,"source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 2014 International Joint Conference on Neural Networks (IJCNN), Beijing, China, 6-11 July 2014, pp. 42-47","raw_type":""}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20921626","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Optimal_design_of_traffic_signal_controller_using_neural_networks_and_fuzzy_logic_systems/20921626","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6499999761581421,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W23993467","https://openalex.org/W578827907","https://openalex.org/W1569400564","https://openalex.org/W2013534088","https://openalex.org/W2014728147","https://openalex.org/W2019974229","https://openalex.org/W2022686149","https://openalex.org/W2024672209","https://openalex.org/W2054314161","https://openalex.org/W2077239716","https://openalex.org/W2078895652","https://openalex.org/W2088595989","https://openalex.org/W2101460915","https://openalex.org/W2124289529","https://openalex.org/W2146544184","https://openalex.org/W2148562479","https://openalex.org/W2157041604","https://openalex.org/W2172081845","https://openalex.org/W2577058688","https://openalex.org/W2916782136","https://openalex.org/W4388297464","https://openalex.org/W6601032434","https://openalex.org/W6682086415","https://openalex.org/W6990164221"],"related_works":["https://openalex.org/W3016964804","https://openalex.org/W2368474127","https://openalex.org/W3192327502","https://openalex.org/W2973192971","https://openalex.org/W4390341805","https://openalex.org/W3069032","https://openalex.org/W4210448965","https://openalex.org/W4360619413","https://openalex.org/W2354891280","https://openalex.org/W4235611500"],"abstract_inverted_index":{"This":[0],"paper":[1],"aims":[2],"at":[3],"optimally":[4],"adjusting":[5],"a":[6,15],"set":[7,64],"of":[8,21,101,112],"green":[9,65],"times":[10,66],"for":[11,80],"traffic":[12,27,44,73],"lights":[13],"in":[14,67,128],"single":[16],"intersection":[17,51],"with":[18,109],"the":[19,72,102,110,125,129,133],"purpose":[20],"minimizing":[22],"travel":[23],"delay":[24,127],"time":[25],"and":[26,32,54,78],"congestion.":[28],"Neural":[29],"network":[30,130],"(NN)":[31],"fuzzy":[33],"logic":[34],"system":[35],"(FLS)":[36],"are":[37,85],"two":[38,103],"methods":[39,84,88,106,122],"applied":[40],"to":[41,63,92,132],"develop":[42],"intelligent":[43,58,104,121],"timing":[45],"controller.":[46],"For":[47],"this":[48],"purpose,":[49],"an":[50,57],"is":[52,107],"considered":[53],"simulated":[55],"as":[56],"agent":[59],"that":[60,119],"learns":[61],"how":[62],"each":[68],"cycle":[69],"based":[70],"on":[71],"information.":[74],"The":[75,99],"training":[76],"approach":[77],"data":[79],"both":[81,120],"these":[82],"learning":[83,105],"similar.":[86],"Both":[87],"use":[89],"genetic":[90],"algorithm":[91],"tune":[93],"their":[94],"parameters":[95],"during":[96],"learning.":[97],"Finally,":[98],"performance":[100,111],"compared":[108,131],"simple":[113],"fixed-time":[114,134],"method.":[115,135],"Simulation":[116],"results":[117],"indicate":[118],"significantly":[123],"reduce":[124],"total":[126]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
