{"id":"https://openalex.org/W2613084637","doi":"https://doi.org/10.1109/tvt.2017.2702388","title":"Distributed Cooperative Reinforcement Learning-Based Traffic Signal Control That Integrates V2X Networks\u2019 Dynamic Clustering","display_name":"Distributed Cooperative Reinforcement Learning-Based Traffic Signal Control That Integrates V2X Networks\u2019 Dynamic Clustering","publication_year":2017,"publication_date":"2017-05-12","ids":{"openalex":"https://openalex.org/W2613084637","doi":"https://doi.org/10.1109/tvt.2017.2702388","mag":"2613084637"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2017.2702388","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2017.2702388","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","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/A5101945238","display_name":"Weirong Liu","orcid":"https://orcid.org/0000-0002-2567-9369"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weirong Liu","raw_affiliation_strings":["School of Information Science and Engineering, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-2567-9369","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072409484","display_name":"Gaorong Qin","orcid":"https://orcid.org/0000-0002-8830-6148"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaorong Qin","raw_affiliation_strings":["School of Information Science and Engineering, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101903598","display_name":"Yun Bin He","orcid":"https://orcid.org/0000-0001-7337-9136"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun He","raw_affiliation_strings":["School of Information Science and Engineering, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058844141","display_name":"Fei Jiang","orcid":"https://orcid.org/0000-0002-5554-4721"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Jiang","raw_affiliation_strings":["School of Information Science and Engineering, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":8.5307,"has_fulltext":false,"cited_by_count":128,"citation_normalized_percentile":{"value":0.98093569,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"66","issue":"10","first_page":"8667","last_page":"8681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":1.0,"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":1.0,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9991000294685364,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7850090265274048},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7732359170913696},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7228587865829468},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4590927064418793},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.44140633940696716},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.41010597348213196},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.37816840410232544},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2853134572505951},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21843552589416504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20958086848258972},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.09341979026794434}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7850090265274048},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7732359170913696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7228587865829468},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4590927064418793},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.44140633940696716},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.41010597348213196},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37816840410232544},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2853134572505951},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21843552589416504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20958086848258972},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.09341979026794434},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2017.2702388","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2017.2702388","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7900000214576721}],"awards":[{"id":"https://openalex.org/G1007861449","display_name":null,"funder_award_id":"61202342","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1381552605","display_name":"\u5f02\u6784\u76d1\u63a7\u7f51\u7edc\u4e00\u81f4\u6027\u4f20\u8f93\u5c42\u534f\u8bae\u7814\u7a76","funder_award_id":"61003233","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1852059874","display_name":null,"funder_award_id":"61672539","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7624268886","display_name":"\u4e91\u8ba1\u7b97\u4e2d\u8d44\u6e90\u5171\u4eab\u7684\u5206\u5c42\u535a\u5f08\u8054\u76df\u5f62\u6210\u4e0e\u5b9a\u4ef7\u673a\u5236\u7814\u7a76","funder_award_id":"61379111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W13294968","https://openalex.org/W32403112","https://openalex.org/W33871791","https://openalex.org/W170020907","https://openalex.org/W578827907","https://openalex.org/W1805652467","https://openalex.org/W1853310585","https://openalex.org/W1968665584","https://openalex.org/W1969315466","https://openalex.org/W1979634439","https://openalex.org/W1999371911","https://openalex.org/W2002803284","https://openalex.org/W2007382693","https://openalex.org/W2009672082","https://openalex.org/W2027447382","https://openalex.org/W2027977415","https://openalex.org/W2046193850","https://openalex.org/W2070310653","https://openalex.org/W2074500080","https://openalex.org/W2075268401","https://openalex.org/W2087340523","https://openalex.org/W2087755439","https://openalex.org/W2099618002","https://openalex.org/W2112161216","https://openalex.org/W2112597014","https://openalex.org/W2117359296","https://openalex.org/W2120498409","https://openalex.org/W2121863487","https://openalex.org/W2125001944","https://openalex.org/W2126709295","https://openalex.org/W2132142975","https://openalex.org/W2133985501","https://openalex.org/W2134698488","https://openalex.org/W2136758263","https://openalex.org/W2139728973","https://openalex.org/W2145286644","https://openalex.org/W2146544184","https://openalex.org/W2153031228","https://openalex.org/W2154500405","https://openalex.org/W2156489387","https://openalex.org/W2159691338","https://openalex.org/W2161217359","https://openalex.org/W2165226705","https://openalex.org/W2165232124","https://openalex.org/W2165833504","https://openalex.org/W4214717370","https://openalex.org/W6600556750","https://openalex.org/W6616774494","https://openalex.org/W6683635070","https://openalex.org/W6684032115","https://openalex.org/W7011621630"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W2024136090","https://openalex.org/W2586732548","https://openalex.org/W3049728571","https://openalex.org/W2964765435","https://openalex.org/W20361778"],"abstract_inverted_index":{"With":[0],"the":[1,6,24,31,72,86,95,107,114,133,146,151,177,189,196,200,213,216],"acceleration":[2],"of":[3,155,215],"urbanization":[4],"in":[5,16,75],"world,":[7],"urban":[8],"traffic":[9,20,36,50,61,124,128,147,184,197],"congestion":[10],"has":[11],"become":[12],"an":[13],"urgent":[14],"challenge":[15],"most":[17,25],"cities.":[18],"Adaptive":[19],"signal":[21,129],"control":[22,27,51,140,185],"is":[23,38,68,82,142,164,173],"approved":[26],"method":[28,172],"to":[29,40,70,99,112,127,144,175],"solve":[30],"problem,":[32],"and":[33,65,105,109,122,166,204],"accurate":[34,123],"real-time":[35,179],"information":[37,63,126],"critical":[39],"this":[41],"solution.":[42],"This":[43],"paper":[44],"presents":[45],"distributed":[46,159],"cooperative":[47,137],"reinforcement":[48,138,156],"learning-based":[49],"that":[52,187],"integrates":[53,188],"V2X":[54,76],"networks\u2019":[55],"dynamic":[56,79],"clustering":[57,80,92,134,191],"algorithm.":[58],"To":[59,149],"obtain":[60],"flow":[62],"accurately":[64],"instantaneously,":[66],"it":[67],"important":[69],"improve":[71,113,176,195],"cluster":[73,97,103],"stability":[74],"networks.":[77],"A":[78],"algorithm":[81,93,118,192],"proposed":[83,91,143,174,182,217],"based":[84],"on":[85,209],"enhanced":[87],"affinity":[88],"propagation.":[89],"The":[90,117,181],"introduces":[94],"initial":[96],"partition":[98],"maintain":[100],"a":[101,136,158,167],"proper":[102],"size":[104],"adds":[106],"lane":[108],"destination":[110],"factors":[111],"cluster's":[115],"stability.":[116],"can":[119,193],"provide":[120],"efficient":[121],"state":[125],"controls.":[130],"By":[131],"integrating":[132],"algorithm,":[135],"learning":[139],"scheme":[141,186],"balance":[145],"load.":[148],"address":[150],"tough":[152],"dimensionality":[153],"curse":[154],"learning,":[157],"mechanism":[160],"for":[161],"intersection":[162],"cooperation":[163],"introduced,":[165],"fast":[168],"gradient-descent":[169],"function":[170],"approximation":[171],"controls\u2019":[178],"performance.":[180],"intelligent":[183],"stable":[190],"effectively":[194],"throughput,":[198],"reduce":[199],"average":[201],"waiting":[202],"time,":[203],"avoid":[205],"congestion.":[206],"Numerical":[207],"simulations":[208],"real":[210],"scenarios":[211],"validate":[212],"performance":[214],"approach.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}