{"id":"https://openalex.org/W4407360639","doi":"https://doi.org/10.1109/tits.2025.3536541","title":"MATLIT: MAT-Based Cooperative Reinforcement Learning for Urban Traffic Signal Control","display_name":"MATLIT: MAT-Based Cooperative Reinforcement Learning for Urban Traffic Signal Control","publication_year":2025,"publication_date":"2025-02-11","ids":{"openalex":"https://openalex.org/W4407360639","doi":"https://doi.org/10.1109/tits.2025.3536541"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3536541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3536541","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/A5086581834","display_name":"Bingyi Liu","orcid":"https://orcid.org/0000-0001-8403-1776"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]},{"id":"https://openalex.org/I4210149102","display_name":"Sanya University","ror":"https://ror.org/04fa2qd52","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingyi Liu","raw_affiliation_strings":["Sanya Science and Education Innovation Park, Wuhan University of Technology, Sanya, China"],"raw_orcid":"https://orcid.org/0000-0001-8403-1776","affiliations":[{"raw_affiliation_string":"Sanya Science and Education Innovation Park, Wuhan University of Technology, Sanya, China","institution_ids":["https://openalex.org/I196699116","https://openalex.org/I4210149102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116226524","display_name":"Kaixiang Su","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaixiang Su","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0004-1051-5910","affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085805626","display_name":"Enshu Wang","orcid":"https://orcid.org/0000-0001-7253-4763"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enshu Wang","raw_affiliation_strings":["School of Cyber Science and Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-7253-4763","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019042027","display_name":"Weizhen Han","orcid":"https://orcid.org/0000-0003-2992-2650"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizhen Han","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-2992-2650","affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108047844","display_name":"Libing Wu","orcid":"https://orcid.org/0000-0001-9897-1953"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Libing Wu","raw_affiliation_strings":["School of Cyber Science and Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9897-1953","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356291","display_name":"Jianping Wang","orcid":"https://orcid.org/0000-0002-9318-1482"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jianping Wang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong","Department of Computer Science, City University of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-9318-1482","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100728176","display_name":"Chunming Qiao","orcid":"https://orcid.org/0000-0002-4679-6572"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chunming Qiao","raw_affiliation_strings":["Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-4679-6572","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.2092,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.97003381,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"26","issue":"5","first_page":"6675","last_page":"6689"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9567999839782715,"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":0.9567999839782715,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7830884456634521},{"id":"https://openalex.org/keywords/traffic-signal","display_name":"Traffic signal","score":0.5493778586387634},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.48157739639282227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4675164818763733},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.42942237854003906},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3759438395500183},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.35162627696990967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2933184802532196},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.15616333484649658},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.1313651204109192}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7830884456634521},{"id":"https://openalex.org/C2987419075","wikidata":"https://www.wikidata.org/wiki/Q8004","display_name":"Traffic signal","level":2,"score":0.5493778586387634},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.48157739639282227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4675164818763733},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.42942237854003906},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3759438395500183},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.35162627696990967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2933184802532196},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.15616333484649658},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.1313651204109192}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3536541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3536541","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":0.6200000047683716,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G4310234715","display_name":null,"funder_award_id":"62272357","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4868500656","display_name":null,"funder_award_id":"U24A20336","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7750792420","display_name":null,"funder_award_id":"62441237","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7805012793","display_name":null,"funder_award_id":"CNS-2413876","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8932672722","display_name":null,"funder_award_id":"62302326","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"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":34,"referenced_works":["https://openalex.org/W5525483","https://openalex.org/W2915117209","https://openalex.org/W2963446712","https://openalex.org/W2964749398","https://openalex.org/W2983178256","https://openalex.org/W2988973041","https://openalex.org/W2991423928","https://openalex.org/W3016465647","https://openalex.org/W3030840723","https://openalex.org/W3044015199","https://openalex.org/W3136849308","https://openalex.org/W3137922222","https://openalex.org/W3201236850","https://openalex.org/W3208600906","https://openalex.org/W4221153241","https://openalex.org/W4293197537","https://openalex.org/W4313036208","https://openalex.org/W4313555308","https://openalex.org/W4319998043","https://openalex.org/W4385245566","https://openalex.org/W4386453517","https://openalex.org/W4393864543","https://openalex.org/W6639086533","https://openalex.org/W6734517396","https://openalex.org/W6747473740","https://openalex.org/W6766805167","https://openalex.org/W6768539364","https://openalex.org/W6768810269","https://openalex.org/W6769218391","https://openalex.org/W6779109570","https://openalex.org/W6789172296","https://openalex.org/W6802002411","https://openalex.org/W6838682728","https://openalex.org/W6853597659"],"related_works":["https://openalex.org/W4310083477","https://openalex.org/W2328553770","https://openalex.org/W2920061524","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W2145821588","https://openalex.org/W4367838498","https://openalex.org/W4293167677"],"abstract_inverted_index":{"Effective":[0],"multi-intersection":[1],"collaboration":[2],"is":[3,30,158],"crucial":[4],"for":[5],"mitigating":[6],"urban":[7,38,86,175,194,267],"traffic":[8,14,39,75,144,176,195,231],"congestion":[9],"through":[10],"reinforcement":[11],"learning":[12],"(RL)-based":[13],"signal":[15],"control":[16],"(TSC).":[17],"Existing":[18],"work":[19],"mainly":[20],"considers":[21],"scenarios":[22,40,87,196],"involving":[23],"a":[24,51,89,94,109,165],"single":[25],"vehicle":[26],"type,":[27],"where":[28,41],"cooperation":[29,118],"typically":[31],"limited":[32,52],"to":[33,60,102,141,184,192,215,225],"neighboring":[34,55],"intersections.":[35,120],"However,":[36],"in":[37,85,174,190,229,265],"high":[42,66,201,247],"priority":[43,67,202,248],"vehicles":[44,68,203,262],"coexist":[45],"with":[46,164,197],"ordinary":[47],"vehicles,":[48],"considering":[49,169],"only":[50],"number":[53],"of":[54,65,127,134,154,200,220,260],"nodes":[56],"may":[57],"be":[58],"insufficient":[59],"ensure":[61],"the":[62,71,80,104,128,132,135,147,155,170,193,210,217,256],"swift":[63],"passage":[64],"while":[69,254],"minimizing":[70],"impact":[72],"on":[73],"overall":[74],"efficiency.":[76],"Therefore,":[77],"we":[78,107,178,208],"formulate":[79],"multiple":[81],"intersections\u2019":[82],"decision-making":[83],"process":[84,126],"as":[88],"Markov":[90],"game":[91],"and":[92,124,149,244],"propose":[93],"novel":[95],"centralized":[96],"cooperative":[97],"RL":[98],"framework":[99,240],"called":[100],"MATLIT":[101,140,239],"solve":[103],"game.":[105],"Specifically,":[106],"adopt":[108],"multi-agent":[110],"transformer":[111],"(MAT)-based":[112],"architecture":[113,157],"that":[114,204,236],"facilitates":[115],"efficient":[116],"global":[117],"among":[119],"The":[121],"attention":[122,181],"mechanism":[123],"auto-regressive":[125],"MAT":[129,163],"effectively":[130],"mitigate":[131],"curse":[133],"dimensionality":[136],"problem,":[137],"which":[138],"guarantees":[139],"tackle":[142],"large-scale":[143],"scenarios.":[145,268],"Meanwhile,":[146],"stability":[148],"sequence":[150],"action":[151],"generation":[152],"capacity":[153],"MAT-based":[156],"further":[159],"enhanced":[160],"by":[161,252,263],"incorporating":[162],"gated":[166],"mechanism.":[167],"Furthermore,":[168],"inherent":[171],"topological":[172],"constraints":[173],"scenarios,":[177],"utilize":[179],"graph":[180],"networks":[182],"(GATs)":[183],"capture":[185],"graph-structured":[186],"mutual":[187],"influences.":[188],"Additionally,":[189],"response":[191],"various":[198],"types":[199],"have":[205],"time-varying":[206],"priorities,":[207],"integrate":[209],"soft":[211],"actor-critic":[212],"(SAC)":[213],"algorithm":[214],"enhance":[216],"exploration":[218],"capabilities":[219],"our":[221,237],"framework,":[222],"allowing":[223],"it":[224],"learn":[226],"robust":[227],"strategies":[228],"heterogeneous":[230],"conditions.":[232],"Extensive":[233],"experiments":[234],"demonstrate":[235],"proposed":[238],"outperforms":[241],"all":[242,261],"baselines":[243],"can":[245],"reduce":[246],"vehicles\u2019":[249],"waiting":[250,258],"time":[251,259],"24.57%":[253],"reducing":[255],"average":[257],"18.51%":[264],"realistic":[266]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":7}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
