{"id":"https://openalex.org/W7151933715","doi":"https://doi.org/10.48550/arxiv.2604.05663","title":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","display_name":"CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control","publication_year":2026,"publication_date":"2026-04-07","ids":{"openalex":"https://openalex.org/W7151933715","doi":"https://doi.org/10.48550/arxiv.2604.05663"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.05663","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05663","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.05663","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133200247","display_name":"Qing Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Qing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133166573","display_name":"Xinhang Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xinhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133209480","display_name":"Junyu Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Junyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133217021","display_name":"Zheng Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Zheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133164886","display_name":"Shengzhe Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Shengzhe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133207555","display_name":"Lin Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Lin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133176513","display_name":"Lei Li","orcid":"https://orcid.org/0009-0007-5458-766X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Lei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.7788000106811523,"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":0.7788000106811523,"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":0.1559000015258789,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.01209999993443489,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5903000235557556},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5806999802589417},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4900999963283539},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.48840001225471497},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.4645000100135803},{"id":"https://openalex.org/keywords/imitation","display_name":"Imitation","score":0.4632999897003174},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.45809999108314514},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.44600000977516174},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.414000004529953}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7490000128746033},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5903000235557556},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5806999802589417},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4900999963283539},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.48840001225471497},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.4645000100135803},{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.4632999897003174},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.45809999108314514},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.44600000977516174},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.414000004529953},{"id":"https://openalex.org/C2987419075","wikidata":"https://www.wikidata.org/wiki/Q8004","display_name":"Traffic signal","level":2,"score":0.4011000096797943},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3953000009059906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3903000056743622},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.38670000433921814},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37450000643730164},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.3732999861240387},{"id":"https://openalex.org/C2776946740","wikidata":"https://www.wikidata.org/wiki/Q358652","display_name":"Deliberation","level":3,"score":0.34040001034736633},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31360000371932983},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.3025999963283539},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3012000024318695},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C2781020372","wikidata":"https://www.wikidata.org/wiki/Q533093","display_name":"On the fly","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.05663","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05663","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.05663","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05663","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Traffic":[0],"signal":[1,69,99,169],"control":[2],"(TSC)":[3],"is":[4],"a":[5],"core":[6],"component":[7],"of":[8,65,156],"intelligent":[9],"transportation":[10],"systems":[11],"(ITS),":[12],"aiming":[13],"to":[14,48],"reduce":[15],"congestion,":[16],"emissions,":[17],"and":[18,28,45,77,122,144,166],"travel":[19,133],"time.":[20],"Recent":[21],"approaches":[22],"based":[23],"on":[24],"reinforcement":[25],"learning":[26],"(RL)":[27],"large":[29],"language":[30],"models":[31],"(LLMs)":[32],"have":[33],"improved":[34],"adaptivity,":[35],"but":[36],"still":[37],"suffer":[38],"from":[39,119],"limited":[40],"interpretability,":[41],"insufficient":[42],"interaction":[43,80],"data,":[44],"weak":[46],"generalization":[47],"heterogeneous":[49,116],"intersections.":[50],"This":[51],"paper":[52],"proposes":[53],"CuraLight,":[54],"an":[55,59,66],"LLM-centered":[56],"framework":[57],"where":[58],"RL":[60,72],"agent":[61,73],"assists":[62],"the":[63,154],"fine-tuning":[64],"LLM-based":[67],"traffic":[68,75,168],"controller.":[70],"The":[71,151],"explores":[74],"environments":[76],"generates":[78],"high-quality":[79],"trajectories,":[81],"which":[82],"are":[83],"converted":[84],"into":[85],"prompt-response":[86],"pairs":[87],"for":[88,109,164],"imitation":[89],"fine-tuning.":[90],"A":[91],"multi-LLM":[92],"ensemble":[93],"deliberation":[94],"system":[95],"further":[96],"evaluates":[97],"candidate":[98],"timing":[100],"actions":[101],"through":[102],"structured":[103],"debate,":[104],"providing":[105],"preference-aware":[106],"supervision":[107],"signals":[108],"training.":[110],"Experiments":[111],"conducted":[112],"in":[113],"SUMO":[114],"across":[115],"real-world":[117],"networks":[118],"Jinan,":[120],"Hangzhou,":[121],"Yizhuang":[123],"demonstrate":[124],"that":[125],"CuraLight":[126],"consistently":[127],"outperforms":[128],"state-of-the-art":[129],"baselines,":[130],"reducing":[131],"average":[132,138,145],"time":[134,147],"by":[135,141,148],"5.34":[136],"percent,":[137,143],"queue":[139],"length":[140],"5.14":[142],"waiting":[146],"7.02":[149],"percent.":[150],"results":[152],"highlight":[153],"effectiveness":[155],"combining":[157],"RL-assisted":[158],"exploration":[159],"with":[160],"deliberation-based":[161],"data":[162],"curation":[163],"scalable":[165],"interpretable":[167],"control.":[170]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-09T00:00:00"}
