{"id":"https://openalex.org/W2476214839","doi":"https://doi.org/10.1080/10798587.2015.1118274","title":"A fuzzy neural approach for vehicle guidance in real\u2013time","display_name":"A fuzzy neural approach for vehicle guidance in real\u2013time","publication_year":2016,"publication_date":"2016-02-23","ids":{"openalex":"https://openalex.org/W2476214839","doi":"https://doi.org/10.1080/10798587.2015.1118274","mag":"2476214839"},"language":"en","primary_location":{"id":"doi:10.1080/10798587.2015.1118274","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2015.1118274","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation &amp; Soft Computing","raw_type":"journal-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/A5076917994","display_name":"Bo Mi","orcid":"https://orcid.org/0000-0001-6939-0770"},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]},{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Mi","raw_affiliation_strings":["College of Civil Engineering, Chongqing University, 400044 Chongqing, China","College of Information Science and Engineering, Chongqing Jiaotong University, 400074 Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Civil Engineering, Chongqing University, 400044 Chongqing, China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"College of Information Science and Engineering, Chongqing Jiaotong University, 400074 Chongqing, China","institution_ids":["https://openalex.org/I63371133"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074605838","display_name":"Dongyan Liu","orcid":"https://orcid.org/0000-0001-9905-273X"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyan Liu","raw_affiliation_strings":["College of Civil Engineering, Chongqing University, 400044 Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Civil Engineering, Chongqing University, 400044 Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076917994"],"corresponding_institution_ids":["https://openalex.org/I158842170","https://openalex.org/I63371133"],"apc_list":null,"apc_paid":null,"fwci":0.6098,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7318455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"23","issue":"1","first_page":"13","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.9204992055892944},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4984414577484131},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47252967953681946},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34061992168426514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9204992055892944},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4984414577484131},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47252967953681946},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34061992168426514}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10798587.2015.1118274","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2015.1118274","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation &amp; Soft Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2162285012","display_name":null,"funder_award_id":"cstc2011jjA30010","funder_id":"https://openalex.org/F4320327726","funder_display_name":"Natural Science Foundation Project of Chongqing, Chongqing Science and Technology Commission"}],"funders":[{"id":"https://openalex.org/F4320321135","display_name":"Chongqing University","ror":"https://ror.org/023rhb549"},{"id":"https://openalex.org/F4320326957","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65"},{"id":"https://openalex.org/F4320327726","display_name":"Natural Science Foundation Project of Chongqing, Chongqing Science and Technology Commission","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1488078059","https://openalex.org/W1969057198","https://openalex.org/W1979742381","https://openalex.org/W2011675702","https://openalex.org/W2013558834","https://openalex.org/W2035545706","https://openalex.org/W2036107457","https://openalex.org/W2111991989","https://openalex.org/W2128431497","https://openalex.org/W2144476106","https://openalex.org/W2153060484","https://openalex.org/W2175778341","https://openalex.org/W2231267505","https://openalex.org/W4243218172","https://openalex.org/W6729823683"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4205958290","https://openalex.org/W3209574120"],"abstract_inverted_index":{"AbstractIn":[0],"recent":[1],"years,":[2],"neural":[3,64],"network":[4,65,85],"has":[5],"allured":[6],"much":[7],"attention":[8],"of":[9,16,24,31,45,106],"transportation":[10],"studies":[11],"due":[12],"to":[13,48,67,102],"its":[14,32,111],"competence":[15],"addressing":[17],"traffic":[18],"complexity.":[19],"However,":[20],"design":[21],"and":[22,109],"implementation":[23],"such":[25],"system":[26,108],"remains":[27],"intractable":[28],"in":[29,75],"terms":[30],"opaqueness.":[33],"Instead,":[34],"adopting":[35],"a":[36,43,54,62,96],"knowledge-based":[37],"approach,":[38],"which":[39],"can":[40],"automatically":[41],"generate":[42],"set":[44],"expert":[46],"rules":[47],"model":[49],"the":[50,69,104],"problems,":[51],"could":[52],"be":[53],"possible":[55],"solution.":[56],"To":[57],"this":[58,76],"extent,":[59],"we":[60],"devised":[61],"fuzzy":[63,107],"strategy":[66],"optimize":[68],"route":[70],"decision":[71],"on":[72,81],"urban":[73],"roads":[74],"paper.":[77],"Our":[78],"scheme":[79],"works":[80],"an":[82],"evolutionarily":[83],"weighted":[84],"model,":[86],"whose":[87],"resource":[88],"requirements":[89],"are":[90],"adequately":[91],"alleviated.":[92],"We":[93],"also":[94],"introduced":[95],"GA":[97],"(Genetic":[98],"Algorithm)-based":[99],"learning":[100],"algorithm":[101],"obtain":[103],"weights":[105],"validated":[110],"performance":[112],"by":[113],"agent-based":[114],"modeling.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
