{"id":"https://openalex.org/W2040286344","doi":"https://doi.org/10.1080/10248079508903828","title":"NEURAL NETWORK MODELS FOR TRAFFIC CONTROL AND CONGESTION PREDICTION","display_name":"NEURAL NETWORK MODELS FOR TRAFFIC CONTROL AND CONGESTION PREDICTION","publication_year":1995,"publication_date":"1995-01-01","ids":{"openalex":"https://openalex.org/W2040286344","doi":"https://doi.org/10.1080/10248079508903828","mag":"2040286344"},"language":"en","primary_location":{"id":"doi:10.1080/10248079508903828","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10248079508903828","pdf_url":null,"source":{"id":"https://openalex.org/S4210179879","display_name":"IVHS journal","issn_l":"1026-7565","issn":["1026-7565","1065-5123"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"I V H S Journal","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/A5038481240","display_name":"John F. Gilmore","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"John F. Gilmore","raw_affiliation_strings":["Georgia Tech Research Institute Georgia Institute of Technology , Atlanta, Georgia, 30332"],"affiliations":[{"raw_affiliation_string":"Georgia Tech Research Institute Georgia Institute of Technology , Atlanta, Georgia, 30332","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057275537","display_name":"Naohiko Abe","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117815","display_name":"Mitsubishi Heavy Industries (Japan)","ror":"https://ror.org/02aq67p44","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210117815"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naohiko Abe","raw_affiliation_strings":["Mitsubishi Heavy Industries, LTD Nagoya Guidance & Propulsion Systems , Aichi-Ken, Japan"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Heavy Industries, LTD Nagoya Guidance & Propulsion Systems , Aichi-Ken, Japan","institution_ids":["https://openalex.org/I4210117815"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038481240"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":1.1363,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.81931784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","issue":"3","first_page":"231","last_page":"252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9984999895095825,"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/T10320","display_name":"Neural Networks and Applications","score":0.9984999895095825,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.991100013256073,"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/T10524","display_name":"Traffic control and management","score":0.9531999826431274,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6954382658004761},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6738178730010986},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.603183388710022},{"id":"https://openalex.org/keywords/blackboard-system","display_name":"Blackboard system","score":0.5697187185287476},{"id":"https://openalex.org/keywords/blackboard","display_name":"Blackboard (design pattern)","score":0.5672348737716675},{"id":"https://openalex.org/keywords/network-traffic-control","display_name":"Network traffic control","score":0.5281572341918945},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.5271548628807068},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5103375315666199},{"id":"https://openalex.org/keywords/network-traffic-simulation","display_name":"Network traffic simulation","score":0.5068121552467346},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.5049381852149963},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.48982664942741394},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4817242920398712},{"id":"https://openalex.org/keywords/network-congestion","display_name":"Network congestion","score":0.43313294649124146},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4127238690853119},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4045042395591736},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3817785382270813},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.33971062302589417},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3271716237068176},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2626076340675354},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.13307178020477295}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6954382658004761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6738178730010986},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.603183388710022},{"id":"https://openalex.org/C157273737","wikidata":"https://www.wikidata.org/wiki/Q1753023","display_name":"Blackboard system","level":3,"score":0.5697187185287476},{"id":"https://openalex.org/C2778308757","wikidata":"https://www.wikidata.org/wiki/Q23601418","display_name":"Blackboard (design pattern)","level":2,"score":0.5672348737716675},{"id":"https://openalex.org/C201100257","wikidata":"https://www.wikidata.org/wiki/Q393287","display_name":"Network traffic control","level":3,"score":0.5281572341918945},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.5271548628807068},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5103375315666199},{"id":"https://openalex.org/C94168897","wikidata":"https://www.wikidata.org/wiki/Q574324","display_name":"Network traffic simulation","level":4,"score":0.5068121552467346},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.5049381852149963},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.48982664942741394},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4817242920398712},{"id":"https://openalex.org/C195563490","wikidata":"https://www.wikidata.org/wiki/Q180368","display_name":"Network congestion","level":3,"score":0.43313294649124146},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4127238690853119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4045042395591736},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3817785382270813},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33971062302589417},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3271716237068176},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2626076340675354},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.13307178020477295},{"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/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10248079508903828","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10248079508903828","pdf_url":null,"source":{"id":"https://openalex.org/S4210179879","display_name":"IVHS journal","issn_l":"1026-7565","issn":["1026-7565","1065-5123"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"I V H S Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"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":11,"referenced_works":["https://openalex.org/W1484126626","https://openalex.org/W1552935635","https://openalex.org/W1572401739","https://openalex.org/W1597286183","https://openalex.org/W2063692519","https://openalex.org/W2080760381","https://openalex.org/W2125552378","https://openalex.org/W2128084896","https://openalex.org/W2154500405","https://openalex.org/W2593972801","https://openalex.org/W4312982345"],"related_works":["https://openalex.org/W4231402822","https://openalex.org/W2385023133","https://openalex.org/W2279528337","https://openalex.org/W2254498469","https://openalex.org/W2161257492","https://openalex.org/W2587362999","https://openalex.org/W1550043390","https://openalex.org/W1994698836","https://openalex.org/W2035170846","https://openalex.org/W3108736915"],"abstract_inverted_index":{"Advance":[0],"Traffic":[1],"Management":[2],"Systems":[3],"(ATMS)":[4],"must":[5],"be":[6],"able":[7],"to":[8,10,19,90,112],"respond":[9],"existing":[11],"and":[12,28],"predicted":[13],"traffic":[14,70,93,109],"conditions":[15],"if":[16],"they":[17],"are":[18,31,99],"address":[20],"the":[21,24,76,82],"demands":[22],"or":[23],"1990's.":[25],"Artificial":[26],"intelligence":[27],"neural":[29,50,78],"network":[30,51,79],"promising":[32],"technologies":[33],"that":[34,53],"provide":[35],"intelligent,":[36],"adaptive":[37,69],"performance":[38],"in":[39,101],"a":[40,60,86,107],"variety":[41],"of":[42,96],"application":[43],"domains.":[44],"This":[45],"paper":[46],"describes":[47],"two":[48],"separate":[49],"systems":[52],"have":[54],"been":[55],"developed":[56],"for":[57],"integration":[58],"into":[59],"ATMS":[61],"blackboard":[62],"architecture.":[63],"The":[64],"first":[65],"system":[66,84],"is":[67,85],"an":[68],"signal":[71],"light":[72],"controller":[73],"based":[74],"upon":[75],"Hopfield":[77],"model,":[80],"while":[81],"second":[83],"backpropagation":[87],"model":[88],"trained":[89],"predict":[91],"urban":[92],"congestion.":[94],"Each":[95],"these":[97],"models":[98],"presented":[100],"detail":[102],"with":[103],"results":[104],"attained":[105],"utilizing":[106],"discrete":[108],"simulation":[110],"shown":[111],"illustrate":[113],"their":[114],"performance.":[115]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
