{"id":"https://openalex.org/W4398188072","doi":"https://doi.org/10.1109/tvt.2024.3403879","title":"UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control","display_name":"UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control","publication_year":2024,"publication_date":"2024-05-21","ids":{"openalex":"https://openalex.org/W4398188072","doi":"https://doi.org/10.1109/tvt.2024.3403879"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2024.3403879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3403879","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/A5025157753","display_name":"Maonan Wang","orcid":"https://orcid.org/0000-0001-5407-0416"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maonan Wang","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China","Shanghai AI Laboratory, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5407-0416","affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Shanghai AI Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115010712","display_name":"Xi Xiong","orcid":"https://orcid.org/0000-0001-7748-9463"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Xiong","raw_affiliation_strings":["Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7748-9463","affiliations":[{"raw_affiliation_string":"Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077820835","display_name":"Yuheng Kan","orcid":"https://orcid.org/0000-0003-0756-8478"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuheng Kan","raw_affiliation_strings":["SenseTime Group Limited, Shanghai, China","Shanghai AI Laboratory, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-0756-8478","affiliations":[{"raw_affiliation_string":"SenseTime Group Limited, Shanghai, China","institution_ids":["https://openalex.org/I4210128910"]},{"raw_affiliation_string":"Shanghai AI Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072820659","display_name":"Chengcheng Xu","orcid":"https://orcid.org/0000-0003-3028-0034"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengcheng Xu","raw_affiliation_strings":["SenseTime Group Limited, Shanghai, China","Shanghai AI Laboratory, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SenseTime Group Limited, Shanghai, China","institution_ids":["https://openalex.org/I4210128910"]},{"raw_affiliation_string":"Shanghai AI Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040559125","display_name":"Man-On Pun","orcid":"https://orcid.org/0000-0003-3316-5381"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Man-On Pun","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-3316-5381","affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1593,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.96032296,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"73","issue":"10","first_page":"14354","last_page":"14369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9819999933242798,"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":0.9819999933242798,"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":0.963699996471405,"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/T14011","display_name":"Elevator Systems and Control","score":0.9036999940872192,"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":0.7237765789031982},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5511327981948853},{"id":"https://openalex.org/keywords/traffic-signal","display_name":"Traffic signal","score":0.5122956037521362},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.49222126603126526},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4209115207195282},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.32710152864456177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3170746862888336},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.20154833793640137}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7237765789031982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5511327981948853},{"id":"https://openalex.org/C2987419075","wikidata":"https://www.wikidata.org/wiki/Q8004","display_name":"Traffic signal","level":2,"score":0.5122956037521362},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.49222126603126526},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4209115207195282},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.32710152864456177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3170746862888336},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.20154833793640137},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2024.3403879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3403879","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":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W5525483","https://openalex.org/W573924038","https://openalex.org/W1516835682","https://openalex.org/W1714211023","https://openalex.org/W2002803284","https://openalex.org/W2031530760","https://openalex.org/W2145339207","https://openalex.org/W2162578038","https://openalex.org/W2480177474","https://openalex.org/W2604427121","https://openalex.org/W2736601468","https://openalex.org/W2766381093","https://openalex.org/W2783048200","https://openalex.org/W2792545614","https://openalex.org/W2794842204","https://openalex.org/W2809148419","https://openalex.org/W2895793836","https://openalex.org/W2903709398","https://openalex.org/W2915117209","https://openalex.org/W2939228328","https://openalex.org/W2950149761","https://openalex.org/W2963027910","https://openalex.org/W2964749398","https://openalex.org/W2985159211","https://openalex.org/W2987543298","https://openalex.org/W2988973041","https://openalex.org/W2998187693","https://openalex.org/W2998332605","https://openalex.org/W3106357768","https://openalex.org/W3112379500","https://openalex.org/W3136457936","https://openalex.org/W3150493802","https://openalex.org/W3163842339","https://openalex.org/W3205321526","https://openalex.org/W3210769222","https://openalex.org/W3216772467","https://openalex.org/W4206295906","https://openalex.org/W4283813407","https://openalex.org/W4311405210","https://openalex.org/W4313241614","https://openalex.org/W4322768614","https://openalex.org/W4327810514","https://openalex.org/W4379469740","https://openalex.org/W4390238481","https://openalex.org/W4392061588","https://openalex.org/W4392902030","https://openalex.org/W4393161217","https://openalex.org/W6616526780","https://openalex.org/W6736372492","https://openalex.org/W6741002519","https://openalex.org/W6761871375","https://openalex.org/W6776867236","https://openalex.org/W6783867858","https://openalex.org/W6787713516","https://openalex.org/W6796581206","https://openalex.org/W6798393411","https://openalex.org/W6804601995","https://openalex.org/W6841140246"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4367838498","https://openalex.org/W2393348402","https://openalex.org/W4293167677","https://openalex.org/W2242021741","https://openalex.org/W2377015873","https://openalex.org/W2605253768","https://openalex.org/W2392201083"],"abstract_inverted_index":{"Traffic":[0],"congestion":[1],"is":[2,35,69,203],"a":[3,52,72,78,90,170,182],"persistent":[4],"problem":[5],"in":[6,31,185,200],"urban":[7],"areas,":[8],"which":[9],"calls":[10],"for":[11,57,104,147,193],"the":[12,110,118,128,141,162,186],"development":[13,187],"of":[14,43,92,121,164,172,188],"effective":[15],"traffic":[16,98,133],"signal":[17],"control":[18],"(TSC)":[19],"systems.":[20,106],"While":[21],"existing":[22],"Reinforcement":[23],"Learning":[24],"(RL)-based":[25],"methods":[26,40],"have":[27],"shown":[28],"promising":[29],"performance":[30],"optimizing":[32],"TSC,":[33],"it":[34,87],"challenging":[36],"to":[37,81,89,114,131,151],"generalize":[38],"these":[39,64],"across":[41],"intersections":[42,115,153],"different":[44],"structures.":[45],"In":[46],"this":[47,201],"paper,":[48],"we":[49],"introduce":[50],"UniTSA,":[51],"universal":[53],"RL":[54],"framework":[55,68],"tailored":[56],"Vehicle-to-Everything":[58],"(V2X)":[59],"environments,":[60],"aimed":[61],"at":[62,205],"overcoming":[63],"generalization":[65],"hurdles.":[66],"Our":[67,179],"equipped":[70],"with":[71,154],"novel":[73],"agent":[74],"architecture":[75],"that":[76],"utilizes":[77],"junction":[79],"matrix":[80],"uniformly":[82],"represent":[83],"intersection":[84,93,173],"states,":[85],"making":[86],"applicable":[88],"variety":[91],"designs.":[94],"Additionally,":[95],"UniTSA":[96],"incorporates":[97],"state":[99],"augmentation":[100],"techniques":[101,108],"specifically":[102],"developed":[103],"TSC":[105,190],"These":[107],"leverage":[109],"rotational":[111],"symmetry":[112],"inherent":[113],"and":[116,135],"emphasize":[117],"relative":[119],"positioning":[120],"vehicles":[122],"over":[123],"simple":[124],"vehicle":[125],"counts,":[126],"enhancing":[127],"model's":[129],"adaptability":[130],"changing":[132],"conditions":[134],"unfamiliar":[136],"scenarios.":[137],"We":[138],"also":[139],"integrate":[140],"Low-Rank":[142],"Adaptation":[143],"(LoRA)":[144],"method,":[145],"allowing":[146],"efficient":[148],"model":[149],"customization":[150],"specific":[152],"minimal":[155],"additional":[156],"training.":[157],"Extensive":[158],"evaluations":[159],"conducted":[160],"on":[161],"Simulation":[163],"Urban":[165],"MObility":[166],"(SUMO)":[167],"platform,":[168],"featuring":[169],"range":[171],"layouts,":[174],"confirm":[175],"UniTSA's":[176],"robust":[177],"performance.":[178],"results":[180],"indicate":[181],"significant":[183],"advancement":[184],"scalable":[189],"solutions":[191],"suitable":[192],"diverse":[194],"V2X":[195],"applications.":[196],"The":[197],"source":[198],"code":[199],"work":[202],"available":[204],"<uri":[206],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[207],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/wmn7/Universal-Light</uri>":[208],".":[209]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2024-05-22T00:00:00"}