{"id":"https://openalex.org/W2130137932","doi":"https://doi.org/10.1109/itsc.2006.1706835","title":"An Agent-Based Controller for Vehicular Automation","display_name":"An Agent-Based Controller for Vehicular Automation","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2130137932","doi":"https://doi.org/10.1109/itsc.2006.1706835","mag":"2130137932"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2006.1706835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2006.1706835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE Intelligent Transportation Systems Conference","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/A5019341061","display_name":"Feng He","orcid":"https://orcid.org/0000-0001-8122-4767"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Feng He","raw_affiliation_strings":["Key Laboratory for Complex Systems and Intelligence Science, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Complex Systems and Intelligence Science, Chinese Academy and Sciences, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113600509","display_name":"Fei\u2010Yue Wang","orcid":"https://orcid.org/0000-0001-9185-3989"},"institutions":[{"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":["US"],"is_corresponding":false,"raw_author_name":"Fei-Yue Wang","raw_affiliation_strings":["Department of Systems and Industrial Engineering, University of Arizona Tucson, Tucson, AZ, USA","Key Laboratory for Complex Systems and Intelligence Science, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Systems and Industrial Engineering, University of Arizona Tucson, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"Key Laboratory for Complex Systems and Intelligence Science, Chinese Academy and Sciences, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111894883","display_name":"Shuming Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"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":"Shuming Tang","raw_affiliation_strings":["Institute of Automation, Shandong Academy of Sciences, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Shandong Academy of Sciences, Jinan, China","institution_ids":["https://openalex.org/I4210142748","https://openalex.org/I4210094879"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019341061"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9097,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80519635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":null,"first_page":"771","last_page":"776"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9962999820709229,"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":0.9962999820709229,"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":0.9926000237464905,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/computer-science","display_name":"Computer science","score":0.6658583879470825},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.62346351146698},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5970754623413086},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5937164425849915},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5586404800415039},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.48883384466171265},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4637029767036438},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.4322003126144409},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37002062797546387},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24871286749839783}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6658583879470825},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.62346351146698},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5970754623413086},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5937164425849915},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5586404800415039},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.48883384466171265},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4637029767036438},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.4322003126144409},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37002062797546387},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24871286749839783},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical 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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2006.1706835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2006.1706835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE Intelligent Transportation Systems Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1836263003","https://openalex.org/W2098916117","https://openalex.org/W2107556430","https://openalex.org/W2151708438","https://openalex.org/W2152072294","https://openalex.org/W2158003279","https://openalex.org/W2170622537"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W3084456289","https://openalex.org/W2024136090","https://openalex.org/W4391331176","https://openalex.org/W2031695474","https://openalex.org/W2586732548","https://openalex.org/W135622916"],"abstract_inverted_index":{"In":[0,17],"this":[1,18],"paper,":[2],"we":[3],"present":[4],"a":[5,140],"design":[6],"of":[7,95,130,139],"controller":[8],"for":[9],"vehicular":[10],"automation":[11],"based":[12,31],"on":[13,32],"mobile":[14,125],"agent":[15,43,126],"technology.":[16,127],"approach,":[19],"the":[20,45,49,53,83,114,131],"control":[21,48,143],"goal":[22],"is":[23,134],"conducted":[24],"by":[25,67,76,107,136],"coordinating":[26],"active":[27,71],"or":[28],"default":[29,62,120],"agents":[30,56,63,72,80,88,96,105,122],"sensory":[33],"feedback":[34],"and":[35,51,70,85],"vehicle":[36,50,84,115,141],"conditions.":[37],"A":[38],"hosting":[39],"mechanism":[40],"determines":[41],"which":[42,64,73],"has":[44],"right":[46],"to":[47,113,118,124],"make":[52],"decision.":[54],"Those":[55],"are":[57,65,74],"divided":[58],"into":[59],"two":[60],"groups:":[61],"developed":[66],"fuzzy":[68,121],"rules,":[69],"produced":[75,106],"neural":[77,86,108],"networks.":[78],"Fuzzy":[79],"locate":[81,89],"in":[82,90],"network":[87,109],"remote":[91],"server.":[92],"Two":[93],"types":[94],"have":[97],"similar":[98],"function":[99],"but":[100],"different":[101],"performance,":[102],"so":[103],"those":[104],"can":[110],"transfer":[111],"back":[112],"after":[116],"learning":[117],"replace":[119],"according":[123],"The":[128],"performance":[129],"proposed":[132],"technique":[133],"illustrated":[135],"simulation":[137],"studies":[138],"longitudinal":[142],"system":[144]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
