{"id":"https://openalex.org/W1566967172","doi":"https://doi.org/10.1109/icsmc.2003.1244406","title":"A quantization method of traffic congestion evaluation based on fuzzy logic","display_name":"A quantization method of traffic congestion evaluation based on fuzzy logic","publication_year":2004,"publication_date":"2004-04-23","ids":{"openalex":"https://openalex.org/W1566967172","doi":"https://doi.org/10.1109/icsmc.2003.1244406","mag":"1566967172"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2003.1244406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2003.1244406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)","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/A5108403312","display_name":"Jia Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jia Lu","raw_affiliation_strings":["Department of Automation, Tsinghua University, China","Dept. of Automation, Tsinghua Univ., China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Automation, Tsinghua Univ., China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101548472","display_name":"Li Cao","orcid":"https://orcid.org/0009-0006-6214-3965"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Cao","raw_affiliation_strings":["Department of Automation, Tsinghua University, China","Dept. of Automation, Tsinghua Univ., China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Automation, Tsinghua Univ., China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108403312"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.4497,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73126005,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"3348","last_page":"3351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9962000250816345,"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"}},"topics":[{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9962000250816345,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9898999929428101,"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/fuzzy-logic","display_name":"Fuzzy logic","score":0.7074897289276123},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6746736764907837},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6054247617721558},{"id":"https://openalex.org/keywords/fuzzy-inference","display_name":"Fuzzy inference","score":0.5389289259910583},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.4715471565723419},{"id":"https://openalex.org/keywords/network-congestion","display_name":"Network congestion","score":0.4636581540107727},{"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":0.4441826045513153},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.41121432185173035},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3509034514427185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3220450282096863},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.2994120121002197},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28600838780403137},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2417031228542328},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1388726532459259},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.11700201034545898}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.7074897289276123},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6746736764907837},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6054247617721558},{"id":"https://openalex.org/C2986395286","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy inference","level":5,"score":0.5389289259910583},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.4715471565723419},{"id":"https://openalex.org/C195563490","wikidata":"https://www.wikidata.org/wiki/Q180368","display_name":"Network congestion","level":3,"score":0.4636581540107727},{"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":0.4441826045513153},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.41121432185173035},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3509034514427185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3220450282096863},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.2994120121002197},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28600838780403137},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2417031228542328},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1388726532459259},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.11700201034545898},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2003.1244406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2003.1244406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1939419584","https://openalex.org/W2079325629","https://openalex.org/W2111508367","https://openalex.org/W2123602351","https://openalex.org/W2171362640","https://openalex.org/W3149635946","https://openalex.org/W6655832309","https://openalex.org/W6793464077"],"related_works":["https://openalex.org/W301804496","https://openalex.org/W2972320057","https://openalex.org/W2042439812","https://openalex.org/W2897741166","https://openalex.org/W2988005308","https://openalex.org/W2973196987","https://openalex.org/W4386289889","https://openalex.org/W1669406372","https://openalex.org/W4211214322","https://openalex.org/W4390987329"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,40],"present":[4],"a":[5,25,38,42],"quantization":[6],"method":[7],"to":[8,33,45],"evaluate":[9],"congestion":[10,21,47],"from":[11],"traffic":[12,51],"flow":[13],"information":[14],"based":[15],"on":[16],"fuzzy":[17,30],"logic.":[18],"Level":[19],"of":[20],"is":[22],"considered":[23],"as":[24],"continuous":[26],"variable":[27],"in":[28],"the":[29,35],"inference":[31],"system":[32],"estimate":[34],"congestion.":[36],"As":[37],"result,":[39],"summarized":[41],"serial":[43],"rules":[44],"generate":[46],"level":[48],"with":[49],"basic":[50],"parameters.":[52]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
