{"id":"https://openalex.org/W3211802628","doi":"https://doi.org/10.1109/dac18074.2021.9586175","title":"FedLight: Federated Reinforcement Learning for Autonomous Multi-Intersection Traffic Signal Control","display_name":"FedLight: Federated Reinforcement Learning for Autonomous Multi-Intersection Traffic Signal Control","publication_year":2021,"publication_date":"2021-11-08","ids":{"openalex":"https://openalex.org/W3211802628","doi":"https://doi.org/10.1109/dac18074.2021.9586175","mag":"3211802628"},"language":"en","primary_location":{"id":"doi:10.1109/dac18074.2021.9586175","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac18074.2021.9586175","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 58th ACM/IEEE Design Automation Conference (DAC)","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/A5102847794","display_name":"Yutong Ye","orcid":"https://orcid.org/0000-0002-6874-5741"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutong Ye","raw_affiliation_strings":["MoE Research Center of HW/SW Co-design, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MoE Research Center of HW/SW Co-design, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010005472","display_name":"Wupan Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wupan Zhao","raw_affiliation_strings":["MoE Research Center of HW/SW Co-design, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MoE Research Center of HW/SW Co-design, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042163232","display_name":"Tongquan Wei","orcid":"https://orcid.org/0000-0002-7421-1711"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongquan Wei","raw_affiliation_strings":["MoE Research Center of HW/SW Co-design, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MoE Research Center of HW/SW Co-design, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031580282","display_name":"Shiyan Hu","orcid":"https://orcid.org/0000-0003-2512-0634"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shiyan Hu","raw_affiliation_strings":["School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025413633","display_name":"Mingsong Chen","orcid":"https://orcid.org/0000-0002-3922-0989"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingsong Chen","raw_affiliation_strings":["MoE Research Center of HW/SW Co-design, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MoE Research Center of HW/SW Co-design, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7772,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.9055396,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"847","last_page":"852"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9998999834060669,"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":0.9998999834060669,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9979000091552734,"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":0.9013083577156067},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.8473032712936401},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7730326652526855},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6827348470687866},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6602694988250732},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5123218297958374},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.45271265506744385},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.44029274582862854},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3580051362514496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3569861054420471},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15148788690567017},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.11424300074577332}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.9013083577156067},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.8473032712936401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7730326652526855},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6827348470687866},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6602694988250732},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5123218297958374},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.45271265506744385},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.44029274582862854},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3580051362514496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3569861054420471},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15148788690567017},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.11424300074577332},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dac18074.2021.9586175","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac18074.2021.9586175","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 58th ACM/IEEE Design Automation Conference (DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G3164523449","display_name":null,"funder_award_id":"EP/R007268/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"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":21,"referenced_works":["https://openalex.org/W5525483","https://openalex.org/W573924038","https://openalex.org/W1516835682","https://openalex.org/W2119717200","https://openalex.org/W2541884796","https://openalex.org/W2809148419","https://openalex.org/W2911450448","https://openalex.org/W2912139568","https://openalex.org/W2945991855","https://openalex.org/W2964749398","https://openalex.org/W2983178256","https://openalex.org/W2988973041","https://openalex.org/W2998187693","https://openalex.org/W3034578392","https://openalex.org/W3102059892","https://openalex.org/W3105017587","https://openalex.org/W3105018016","https://openalex.org/W4285723212","https://openalex.org/W4318619660","https://openalex.org/W6728757088","https://openalex.org/W6758713102"],"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/W2389214306","https://openalex.org/W2024136090","https://openalex.org/W4391331176","https://openalex.org/W2031695474","https://openalex.org/W594080554"],"abstract_inverted_index":{"Although":[0],"Reinforcement":[1],"Learning":[2],"(RL)":[3],"has":[4],"been":[5],"successfully":[6],"applied":[7],"in":[8],"traffic":[9,76,102,122],"control,":[10],"it":[11,66],"suffers":[12],"from":[13],"the":[14,33,42,48,58,132,150],"problems":[15],"of":[16,44,50],"high":[17],"average":[18,160],"vehicle":[19,161],"travel":[20,162],"time":[21,163],"and":[22,136],"slow":[23],"convergence":[24,134],"to":[25,32,69,93,171],"optimized":[26],"solutions.":[27],"This":[28],"is":[29,53,67],"because,":[30],"due":[31],"scalability":[34],"restriction,":[35],"most":[36],"existing":[37],"RL-based":[38],"methods":[39],"focus":[40],"on":[41,127],"optimization":[43,72],"individual":[45],"intersections":[46,60],"while":[47],"impact":[49],"their":[51],"cooperation":[52],"neglected.":[54],"Without":[55],"taking":[56],"all":[57],"correlated":[59],"as":[61],"a":[62,85],"whole":[63],"into":[64],"account,":[65],"difficult":[68],"achieve":[70,158],"global":[71],"goals":[73],"for":[74,100,164],"complex":[75],"scenarios.":[77,103],"To":[78],"address":[79],"this":[80,82],"issue,":[81],"paper":[83],"proposes":[84],"novel":[86],"federated":[87,106],"reinforcement":[88],"learning":[89],"approach":[90,109,154],"named":[91],"FedLight":[92],"enable":[94],"optimal":[95,172],"signal":[96],"control":[97,137],"policy":[98],"generation":[99],"multi-intersection":[101,166],"Inspired":[104],"by":[105],"learning,":[107],"our":[108,153],"supports":[110],"knowledge":[111],"sharing":[112],"among":[113],"RL":[114],"agents,":[115],"whose":[116],"models":[117],"are":[118],"trained":[119],"using":[120],"decentralized":[121],"data":[123],"at":[124],"intersections.":[125],"Based":[126],"such":[128],"model-level":[129],"collaborations,":[130],"both":[131],"overall":[133],"rate":[135],"quality":[138],"can":[139,155],"be":[140],"significantly":[141],"improved.":[142],"Comprehensive":[143],"experimental":[144],"results":[145],"demonstrate":[146],"that":[147],"compared":[148],"with":[149],"state-of-the-art":[151],"techniques,":[152],"not":[156],"only":[157],"better":[159],"various":[165],"configurations,":[167],"but":[168],"also":[169],"converge":[170],"solutions":[173],"much":[174],"faster.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}