{"id":"https://openalex.org/W4408941401","doi":"https://doi.org/10.1109/jiot.2025.3555822","title":"FairSignal: A Multiagent Reinforcement Learning Approach Considering Fairness for Multi-Intersection Traffic Signal Control","display_name":"FairSignal: A Multiagent Reinforcement Learning Approach Considering Fairness for Multi-Intersection Traffic Signal Control","publication_year":2025,"publication_date":"2025-03-29","ids":{"openalex":"https://openalex.org/W4408941401","doi":"https://doi.org/10.1109/jiot.2025.3555822"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3555822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3555822","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things 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/A5005122857","display_name":"Sibin Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sibin Cai","raw_affiliation_strings":["College of Civil Engineering, Fuzhou University, Fuzhou, Fujian, China"],"raw_orcid":"https://orcid.org/0009-0001-2983-2391","affiliations":[{"raw_affiliation_string":"College of Civil Engineering, Fuzhou University, Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053677134","display_name":"Jie Fang","orcid":"https://orcid.org/0000-0002-0076-8453"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Fang","raw_affiliation_strings":["College of Civil Engineering, Fuzhou University, Fuzhou, Fujian, China"],"raw_orcid":"https://orcid.org/0000-0002-0076-8453","affiliations":[{"raw_affiliation_string":"College of Civil Engineering, Fuzhou University, Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000493608","display_name":"Mengyun Xu","orcid":"https://orcid.org/0000-0002-3875-8840"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Mengyun Xu","raw_affiliation_strings":["Civil and Environmental Engineering, National University of Singapore, Queenstown, Singapore","civil and environmental engineering, National University of Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-3875-8840","affiliations":[{"raw_affiliation_string":"Civil and Environmental Engineering, National University of Singapore, Queenstown, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"civil and environmental engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1406,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.9174626,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"12","issue":"13","first_page":"23835","last_page":"23851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9948999881744385,"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":0.9948999881744385,"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":0.9265999794006348,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8089925050735474},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7900980710983276},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.7394143342971802},{"id":"https://openalex.org/keywords/traffic-signal","display_name":"Traffic signal","score":0.6260538101196289},{"id":"https://openalex.org/keywords/multi-agent-system","display_name":"Multi-agent system","score":0.45329779386520386},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4399052560329437},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3589335083961487},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3458494544029236},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.34543317556381226},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.1918337345123291},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.12823805212974548},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0813998281955719}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8089925050735474},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7900980710983276},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.7394143342971802},{"id":"https://openalex.org/C2987419075","wikidata":"https://www.wikidata.org/wiki/Q8004","display_name":"Traffic signal","level":2,"score":0.6260538101196289},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.45329779386520386},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4399052560329437},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3589335083961487},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3458494544029236},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.34543317556381226},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.1918337345123291},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.12823805212974548},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0813998281955719}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3555822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3555822","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3411557180","display_name":null,"funder_award_id":"71901070","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/W116194267","https://openalex.org/W245910416","https://openalex.org/W1516835682","https://openalex.org/W2007894170","https://openalex.org/W2021463950","https://openalex.org/W2077243531","https://openalex.org/W2088595989","https://openalex.org/W2088956500","https://openalex.org/W2141983964","https://openalex.org/W2145339207","https://openalex.org/W2149433006","https://openalex.org/W2498017881","https://openalex.org/W2617547828","https://openalex.org/W2766381093","https://openalex.org/W2809148419","https://openalex.org/W2904065660","https://openalex.org/W2915117209","https://openalex.org/W2933570795","https://openalex.org/W2964749398","https://openalex.org/W2983178256","https://openalex.org/W2988973041","https://openalex.org/W2998187693","https://openalex.org/W3086530824","https://openalex.org/W3112739873","https://openalex.org/W3152539692","https://openalex.org/W3182975413","https://openalex.org/W3210115628","https://openalex.org/W4206867326","https://openalex.org/W4210742101","https://openalex.org/W4214717370","https://openalex.org/W4233924950","https://openalex.org/W4282943221","https://openalex.org/W4285325546","https://openalex.org/W4293564708","https://openalex.org/W4311236706","https://openalex.org/W4312332697","https://openalex.org/W4312723679","https://openalex.org/W4312812839","https://openalex.org/W4313036208","https://openalex.org/W4319335480","https://openalex.org/W4322729600","https://openalex.org/W4323262648","https://openalex.org/W4327704813","https://openalex.org/W4378550384","https://openalex.org/W4386736827","https://openalex.org/W4391979614","https://openalex.org/W4392902030","https://openalex.org/W6607466612","https://openalex.org/W6734678876","https://openalex.org/W6762408531","https://openalex.org/W6783867858"],"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/W2024136090","https://openalex.org/W4391331176","https://openalex.org/W4367838498","https://openalex.org/W3115426489","https://openalex.org/W4293167677"],"abstract_inverted_index":{"Currently,":[0],"congestion":[1],"has":[2],"become":[3],"a":[4,86,199],"common":[5],"urban":[6],"disease.":[7],"Recently,":[8],"traffic":[9,28,36,50,65,220,237],"control":[10,38],"methods":[11,33,234],"leveraging":[12],"reinforcement":[13],"learning":[14],"(RL)":[15],"have":[16],"gained":[17],"significant":[18],"attention":[19],"due":[20],"to":[21,24,69,98,112,157,205],"their":[22],"capability":[23],"effectively":[25,113],"utilize":[26],"real-time":[27],"data.":[29],"However,":[30,125],"existing":[31],"RL-based":[32],"for":[34],"multi-intersection":[35],"signal":[37],"(TSC)":[39],"solely":[40],"focus":[41],"on":[42,215,246],"enhancing":[43,236],"network-level":[44,61],"performance,":[45],"which":[46,192],"can":[47,243],"potentially":[48],"exacerbate":[49],"conditions":[51,66,238],"at":[52],"specific":[53],"intersections,":[54],"making":[55],"it":[56],"unreasonable.":[57],"This":[58],"balance":[59],"of":[60,108,140,153,232],"and":[62,82,144,156,175,184,218,224,239],"local":[63],"intersection":[64],"is":[67,103],"referred":[68],"as":[70,126],"the":[71,78,115,151,159,196,230],"fairness":[72,80,208],"issue":[73,81],"in":[74,121,133,138,195,235],"TSC.":[75],"To":[76,149],"address":[77,207],"aforementioned":[79],"further":[83],"alleviate":[84],"congestion,":[85],"multiagent":[87,92,99],"RL":[88],"(MARL)":[89],"algorithm,":[90,129],"counterfactual":[91,109],"policy":[93],"gradients":[94],"(COMA),":[95],"which,":[96],"compared":[97],"advantage":[100,110],"actor-critic":[101],"(MA2C),":[102],"characterized":[104],"by":[105],"its":[106],"use":[107],"estimation":[111],"resolve":[114],"credit":[116],"assignment":[117],"problem,":[118],"was":[119,203],"employed":[120],"multiintersection":[122],"TSC":[123],"domain.":[124],"an":[127],"on-policy":[128],"COMA":[130],"encounters":[131],"limitations":[132],"training":[134,163,168],"sample":[135,142,154],"utilization,":[136],"specifically":[137],"terms":[139],"inefficient":[141],"usage":[143,155],"temporal":[145,160],"correlation":[146,161],"among":[147,162],"samples.":[148],"enhance":[150],"efficiency":[152],"mitigate":[158],"samples,":[164],"thereby":[165],"improving":[166],"overall":[167],"efficiency,":[169],"we":[170],"introduced:":[171],"1)":[172],"importance":[173,182],"sampling":[174,183],"2)":[176],"distributed":[177,185],"computing.":[178],"COMA,":[179],"when":[180],"incorporating":[181],"computing,":[186],"evolved":[187],"into":[188],"our":[189,233],"method,":[190],"Advanced-COMA,":[191],"demonstrated":[193],"effectiveness":[194],"experiments.":[197],"Additionally,":[198],"fairness-aware":[200],"reward":[201],"function":[202],"designed":[204],"better":[206],"considerations.":[209],"Finally,":[210],"extensive":[211],"experiments":[212],"were":[213],"conducted":[214],"both":[216],"synthetic":[217],"real-world":[219],"networks,":[221],"including":[222],"grid":[223],"arterial":[225],"scenarios.":[226],"The":[227],"results":[228],"confirmed":[229],"superiority":[231],"fairness.":[240],"Some":[241],"details":[242],"be":[244],"found":[245],"<uri":[247],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[248],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/caisibin/FS</uri>.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}
