{"id":"https://openalex.org/W2004942553","doi":"https://doi.org/10.1109/itsc.2014.6957965","title":"FuzzyJam: Reducing traffic jams using a fusion of fuzzy logic and vehicular networks","display_name":"FuzzyJam: Reducing traffic jams using a fusion of fuzzy logic and vehicular networks","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2004942553","doi":"https://doi.org/10.1109/itsc.2014.6957965","mag":"2004942553"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2014.6957965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2014.6957965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"17th International IEEE Conference on Intelligent Transportation Systems (ITSC)","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/A5051523220","display_name":"Myounggyu Won","orcid":"https://orcid.org/0000-0002-8703-8188"},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myounggyu Won","raw_affiliation_strings":["Department of Information and Communication, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea","Department of Information and Communication, Daegu Gyeongbuk Institute of Science and Technology (DGIST), South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea","institution_ids":["https://openalex.org/I193352282"]},{"raw_affiliation_string":"Department of Information and Communication, Daegu Gyeongbuk Institute of Science and Technology (DGIST), South Korea","institution_ids":["https://openalex.org/I193352282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101586319","display_name":"Taejoon Park","orcid":"https://orcid.org/0000-0002-7924-1776"},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taejoon Park","raw_affiliation_strings":["Department of Information and Communication, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea","Department of Information and Communication, Daegu Gyeongbuk Institute of Science and Technology (DGIST), South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea","institution_ids":["https://openalex.org/I193352282"]},{"raw_affiliation_string":"Department of Information and Communication, Daegu Gyeongbuk Institute of Science and Technology (DGIST), South Korea","institution_ids":["https://openalex.org/I193352282"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012886088","display_name":"Sang H. Son","orcid":"https://orcid.org/0000-0003-0070-5951"},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang H. Son","raw_affiliation_strings":["Department of Information and Communication, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea","Department of Information and Communication, Daegu Gyeongbuk Institute of Science and Technology (DGIST), South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea","institution_ids":["https://openalex.org/I193352282"]},{"raw_affiliation_string":"Department of Information and Communication, Daegu Gyeongbuk Institute of Science and Technology (DGIST), South Korea","institution_ids":["https://openalex.org/I193352282"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6415,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.85408371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"95","issue":null,"first_page":"1869","last_page":"1875"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9998999834060669,"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":0.9998999834060669,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9995999932289124,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.6358731985092163},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6231381297111511},{"id":"https://openalex.org/keywords/traffic-congestion-reconstruction-with-kerners-three-phase-theory","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","score":0.5938255190849304},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5445144772529602},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.5066014528274536},{"id":"https://openalex.org/keywords/traffic-intensity","display_name":"Traffic intensity","score":0.48704150319099426},{"id":"https://openalex.org/keywords/traffic-bottleneck","display_name":"Traffic bottleneck","score":0.47242558002471924},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.44267532229423523},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.43434858322143555},{"id":"https://openalex.org/keywords/traffic-optimization","display_name":"Traffic optimization","score":0.4243791401386261},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4234887659549713},{"id":"https://openalex.org/keywords/traffic-wave","display_name":"Traffic wave","score":0.410093754529953},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3648456335067749},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2819634675979614},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24902379512786865},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.20644667744636536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14286762475967407},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0939936637878418}],"concepts":[{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.6358731985092163},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6231381297111511},{"id":"https://openalex.org/C25492975","wikidata":"https://www.wikidata.org/wiki/Q960570","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","level":3,"score":0.5938255190849304},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5445144772529602},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.5066014528274536},{"id":"https://openalex.org/C167272206","wikidata":"https://www.wikidata.org/wiki/Q1421101","display_name":"Traffic intensity","level":2,"score":0.48704150319099426},{"id":"https://openalex.org/C81631751","wikidata":"https://www.wikidata.org/wiki/Q3111645","display_name":"Traffic bottleneck","level":5,"score":0.47242558002471924},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.44267532229423523},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.43434858322143555},{"id":"https://openalex.org/C86266404","wikidata":"https://www.wikidata.org/wiki/Q7832512","display_name":"Traffic optimization","level":4,"score":0.4243791401386261},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4234887659549713},{"id":"https://openalex.org/C168069670","wikidata":"https://www.wikidata.org/wiki/Q2596069","display_name":"Traffic wave","level":4,"score":0.410093754529953},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3648456335067749},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2819634675979614},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24902379512786865},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.20644667744636536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14286762475967407},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0939936637878418},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2014.6957965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2014.6957965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"17th International IEEE Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W80460290","https://openalex.org/W1485268022","https://openalex.org/W1512533508","https://openalex.org/W1522045078","https://openalex.org/W1673627654","https://openalex.org/W1991371434","https://openalex.org/W2012715069","https://openalex.org/W2015801923","https://openalex.org/W2015952112","https://openalex.org/W2018175677","https://openalex.org/W2022118897","https://openalex.org/W2023835067","https://openalex.org/W2077303589","https://openalex.org/W2098279688","https://openalex.org/W2112016145","https://openalex.org/W2147788529","https://openalex.org/W2151193145","https://openalex.org/W2154376416","https://openalex.org/W2160614876","https://openalex.org/W2484215240","https://openalex.org/W2493309683","https://openalex.org/W2503963620","https://openalex.org/W4233640149","https://openalex.org/W6629043252","https://openalex.org/W6631489283"],"related_works":["https://openalex.org/W2347681112","https://openalex.org/W2064543875","https://openalex.org/W2361775397","https://openalex.org/W4392234895","https://openalex.org/W641431126","https://openalex.org/W642444140","https://openalex.org/W2334872617","https://openalex.org/W4377700865","https://openalex.org/W3161289260","https://openalex.org/W2154233178"],"abstract_inverted_index":{"Traffic":[0],"congestion":[1],"is":[2,75,121,140],"a":[3,38,43,56,72,76,105,110,118,134],"growing":[4],"problem":[5],"worldwide":[6],"causing":[7],"time/fuel":[8],"waste,":[9],"pollution,":[10],"and":[11,69,95],"even":[12],"stress.":[13],"Various":[14],"approaches":[15],"have":[16,25],"been":[17],"proposed":[18],"to":[19,27,41,55,66,103,151],"reduce":[20],"traffic":[21,44,73,119,135,147],"jams.":[22],"Recently,":[23],"researchers":[24],"started":[26],"employ":[28],"connected":[29],"vehicle":[30],"(CV)":[31],"technology.":[32],"Most":[33],"solutions,":[34],"however,":[35],"rely":[36],"on":[37,87],"binary":[39,68],"approach":[40,145],"determine":[42],"jam,":[45],"i.e.,":[46],"whether":[47],"it":[48,139],"exists":[49],"or":[50],"not.":[51],"Accordingly,":[52],"output":[53],"given":[54],"driver":[57],"in":[58],"the":[59,79,115,131,143,155],"form":[60],"of":[61,81,92,117,133],"driving":[62,93,127],"advisory":[63,128],"also":[64],"tends":[65],"be":[67],"static.":[70],"However,":[71],"jam":[74,120],"dynamic":[77],"phenomenon,":[78],"intensity":[80,132],"which":[82],"changes":[83],"over":[84],"time":[85],"depending":[86,129],"various":[88],"factors":[89],"including":[90],"randomness":[91],"behavior":[94],"road":[96],"conditions.":[97],"In":[98],"this":[99],"paper,":[100],"we":[101],"propose":[102],"integrate":[104],"fuzzy":[106],"inference":[107],"system":[108],"into":[109],"traffic-jam-control":[111],"algorithm":[112],"such":[113],"that":[114,142],"dynamics":[116],"effectively":[122],"represented,":[123],"thereby":[124],"providing":[125],"diversified":[126],"upon":[130],"jam.":[136],"Through":[137],"simulations,":[138],"shown":[141],"integrated":[144],"reduces":[146],"delay":[148],"by":[149],"up":[150],"6.5%":[152],"compared":[153],"with":[154],"state-of-the-art":[156],"solution.":[157]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}