{"id":"https://openalex.org/W4410582551","doi":"https://doi.org/10.1109/tits.2025.3568214","title":"A Multi-Agent Federated Reinforcement Learning-Based Cooperative Vehicle-Infrastructure Control Approach Framework for Roundabouts","display_name":"A Multi-Agent Federated Reinforcement Learning-Based Cooperative Vehicle-Infrastructure Control Approach Framework for Roundabouts","publication_year":2025,"publication_date":"2025-05-21","ids":{"openalex":"https://openalex.org/W4410582551","doi":"https://doi.org/10.1109/tits.2025.3568214"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3568214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3568214","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5051137308","display_name":"Sikai Lu","orcid":"https://orcid.org/0000-0002-5990-8633"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sikai Lu","raw_affiliation_strings":["Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100771674","display_name":"Hai Wang","orcid":"https://orcid.org/0000-0002-9136-8091"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Wang","raw_affiliation_strings":["School of Automotive and Traffic Engineering and Zhenjiang City Jiangsu University Engineering Technology Research Institute, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Automotive and Traffic Engineering and Zhenjiang City Jiangsu University Engineering Technology Research Institute, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100630554","display_name":"Long Chen","orcid":"https://orcid.org/0000-0002-2079-3867"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Chen","raw_affiliation_strings":["Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057276700","display_name":"Yingfeng Cai","orcid":"https://orcid.org/0000-0002-0633-9887"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingfeng Cai","raw_affiliation_strings":["Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051137308"],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":null,"apc_paid":null,"fwci":1.1617,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77965235,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"26","issue":"9","first_page":"13688","last_page":"13703"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9976000189781189,"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":0.9976000189781189,"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/T14011","display_name":"Elevator Systems and Control","score":0.9646999835968018,"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":0.9483000040054321,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7690576314926147},{"id":"https://openalex.org/keywords/roundabout","display_name":"Roundabout","score":0.5931306481361389},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5620128512382507},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.511991560459137},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.48617643117904663},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.456074982881546},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3393233120441437},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.326757550239563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2597719430923462}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7690576314926147},{"id":"https://openalex.org/C109157449","wikidata":"https://www.wikidata.org/wiki/Q7371221","display_name":"Roundabout","level":2,"score":0.5931306481361389},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5620128512382507},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.511991560459137},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.48617643117904663},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.456074982881546},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3393233120441437},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.326757550239563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2597719430923462}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3568214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3568214","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1888400298","display_name":null,"funder_award_id":"2022YFB2503302","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2073865365","display_name":null,"funder_award_id":"52272418","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2191662638","display_name":null,"funder_award_id":"U22A20100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6835269242","display_name":null,"funder_award_id":"2022YFB2503302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7909332369","display_name":null,"funder_award_id":"52225212","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2135054860","https://openalex.org/W2246445795","https://openalex.org/W2962855623","https://openalex.org/W2990123902","https://openalex.org/W3030080662","https://openalex.org/W3042133646","https://openalex.org/W3043527956","https://openalex.org/W3110948693","https://openalex.org/W3114087848","https://openalex.org/W3117956005","https://openalex.org/W3118916059","https://openalex.org/W3131043200","https://openalex.org/W3135204376","https://openalex.org/W3164400104","https://openalex.org/W3165469371","https://openalex.org/W3191652410","https://openalex.org/W3193987867","https://openalex.org/W3205598877","https://openalex.org/W3208434409","https://openalex.org/W4214759451","https://openalex.org/W4225937744","https://openalex.org/W4226284306","https://openalex.org/W4386219277","https://openalex.org/W4386390867","https://openalex.org/W4387624032","https://openalex.org/W4389666410","https://openalex.org/W4392207915","https://openalex.org/W4398157455","https://openalex.org/W4401009784","https://openalex.org/W4404517238","https://openalex.org/W4405228886","https://openalex.org/W4406349867"],"related_works":["https://openalex.org/W11458981","https://openalex.org/W2599482338","https://openalex.org/W1643605","https://openalex.org/W2246029472","https://openalex.org/W2241388623","https://openalex.org/W2586902384","https://openalex.org/W588525699","https://openalex.org/W631467614","https://openalex.org/W4309696465","https://openalex.org/W2170966369"],"abstract_inverted_index":{"In":[0,161],"contrast":[1],"to":[2,23,186],"autonomous":[3],"driving":[4,178],"(AD)":[5],"systems":[6,76],"based":[7],"on":[8,118,171],"a":[9,41,106,135],"single":[10],"vehicle,":[11],"the":[12,65,70,86,95,124,147,150,172,183],"intelligent":[13,19],"vehicle":[14],"infrastructure":[15],"cooperative":[16,75,114],"system":[17],"enables":[18],"connected":[20],"vehicles":[21],"(ICVs)":[22],"perform":[24],"active":[25],"safety":[26],"control":[27,115],"and":[28,50,59,67,82,94,120,130,159,168,180,191],"road":[29,51,177],"collaboration":[30],"management":[31],"through":[32],"vehicle-Infrastructure":[33],"dynamic":[34],"information":[35,62,87],"interaction.":[36],"However,":[37],"complex":[38,188],"intersections":[39],"involve":[40],"wide":[42],"range":[43],"of":[44,55,69,126,149],"interactions":[45],"between":[46],"agents,":[47],"traffic":[48,57,61,175,194],"participants":[49],"infrastructures.":[52],"The":[53,143],"presence":[54],"time-varying":[56],"conditions":[58],"redundant":[60],"may":[63],"impede":[64],"efficiency":[66,132],"effectiveness":[68],"vehicle-infrastructure":[71,113],"system.":[72],"Meanwhile,":[73],"existing":[74],"typically":[77],"assume":[78],"voluntary":[79],"client":[80],"access":[81],"data":[83,119],"sharing,":[84],"overlooking":[85],"asymmetry":[88],"challenges":[89,98],"stemming":[90],"from":[91],"privacy":[92,128],"awareness":[93,129],"model":[96],"interpretability":[97,148],"associated":[99],"with":[100,123],"data-driven":[101],"approaches.":[102],"This":[103],"paper":[104],"proposes":[105],"federated":[107,139],"reinforcement":[108],"learning":[109,140],"(FRL)":[110],"architecture":[111,145],"for":[112,196],"is":[116],"predicated":[117],"rule":[121],"fusion,":[122],"objective":[125],"considering":[127],"sample":[131],"by":[133],"employing":[134],"screening-based":[136],"dual":[137],"aggregation":[138],"(FL)":[141],"method.":[142],"proposed":[144,184],"enhances":[146],"algorithmic":[151],"framework":[152],"at":[153],"four":[154],"perspectives:":[155],"modeling,":[156],"training,":[157],"optimization,":[158],"application.":[160],"this":[162],"paper,":[163],"we":[164],"initially":[165],"undertake":[166],"training":[167],"performance":[169],"comparisons":[170],"OpenDD":[173],"real":[174],"roundabout":[176],"dataset,":[179],"then":[181],"extend":[182],"method":[185],"more":[187],"Nocrash":[189],"benchmarks":[190],"real-world":[192],"campus":[193],"environment":[195],"algorithm":[197],"scalability":[198],"validation.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}