{"id":"https://openalex.org/W7138062174","doi":"https://doi.org/10.48550/arxiv.2603.15283","title":"Evaluating the Robustness of Reinforcement Learning based Adaptive Traffic Signal Control","display_name":"Evaluating the Robustness of Reinforcement Learning based Adaptive Traffic Signal Control","publication_year":2026,"publication_date":"2026-03-16","ids":{"openalex":"https://openalex.org/W7138062174","doi":"https://doi.org/10.48550/arxiv.2603.15283"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.15283","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15283","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.15283","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129717840","display_name":"Dickens Kwesiga","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kwesiga, Dickens","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028686254","display_name":"Angshuman Guin","orcid":"https://orcid.org/0000-0001-6949-5126"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guin, Angshuman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046700457","display_name":"Khaled Abdelghany","orcid":"https://orcid.org/0000-0002-7611-1722"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abdelghany, Khaled","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129652907","display_name":"Michael Hunter","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hunter, Michael","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"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":0.9722999930381775,"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":0.9722999930381775,"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":0.012900000438094139,"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":0.002300000051036477,"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/robustness","display_name":"Robustness (evolution)","score":0.7716000080108643},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6338000297546387},{"id":"https://openalex.org/keywords/signal-timing","display_name":"Signal timing","score":0.5238000154495239},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4803999960422516},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.42250001430511475},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.400299996137619},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.383899986743927},{"id":"https://openalex.org/keywords/traffic-signal","display_name":"Traffic signal","score":0.38100001215934753}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7716000080108643},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6985999941825867},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6338000297546387},{"id":"https://openalex.org/C2776006172","wikidata":"https://www.wikidata.org/wiki/Q7512741","display_name":"Signal timing","level":3,"score":0.5238000154495239},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4803999960422516},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.42250001430511475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4106000065803528},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.400299996137619},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.383899986743927},{"id":"https://openalex.org/C2987419075","wikidata":"https://www.wikidata.org/wiki/Q8004","display_name":"Traffic signal","level":2,"score":0.38100001215934753},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.37040001153945923},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.36899998784065247},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3425000011920929},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3361000120639801},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33500000834465027},{"id":"https://openalex.org/C2778391309","wikidata":"https://www.wikidata.org/wiki/Q7832527","display_name":"Traffic simulation","level":3,"score":0.3160000145435333},{"id":"https://openalex.org/C31531917","wikidata":"https://www.wikidata.org/wiki/Q915157","display_name":"Robust control","level":3,"score":0.30720001459121704},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C2983523559","wikidata":"https://www.wikidata.org/wiki/Q410657","display_name":"On demand","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C3018134525","wikidata":"https://www.wikidata.org/wiki/Q2501541","display_name":"Control signal","level":3,"score":0.28189998865127563},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.26330000162124634},{"id":"https://openalex.org/C32597650","wikidata":"https://www.wikidata.org/wiki/Q5255044","display_name":"Demand patterns","level":3,"score":0.2563000023365021}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.15283","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15283","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.15283","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15283","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"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":{"Reinforcement":[0],"learning":[1],"(RL)":[2],"has":[3],"attracted":[4],"increasing":[5],"interest":[6],"for":[7,40],"adaptive":[8],"traffic":[9,26,58,76,109,128],"signal":[10,34,49,85,99,117,171],"control":[11,19,35,86,118,172],"due":[12],"to":[13,17,68,194],"its":[14],"model-free":[15],"ability":[16],"learn":[18],"policies":[20],"directly":[21],"from":[22,161],"interaction":[23],"with":[24,97,135],"the":[25,168],"environment.":[27],"However,":[28],"several":[29],"challenges":[30,70],"remain":[31],"before":[32],"RL-based":[33,84,170],"can":[36],"be":[37],"considered":[38],"ready":[39],"field":[41,98],"deployment.":[42],"Many":[43],"existing":[44],"studies":[45],"rely":[46],"on":[47,187,211],"simplified":[48],"timing":[50],"structures,":[51],"robustness":[52],"of":[53,89,138],"trained":[54,104,186,210],"models":[55],"under":[56,107,201,222],"varying":[57,108,136],"demand":[59,110,133,197,204,226],"conditions":[60,111],"remains":[61],"insufficiently":[62],"evaluated,":[63],"and":[64,105,112,130],"runtime":[65],"efficiency":[66],"continues":[67],"pose":[69],"when":[71],"training":[72,143,148],"RL":[73],"algorithms":[74],"in":[75],"microscopic":[77],"simulation":[78,155],"environments.":[79],"This":[80],"study":[81,164],"formulates":[82],"an":[83],"algorithm":[87,102],"capable":[88],"representing":[90],"a":[91,145,162,188,208],"full":[92],"eight-phase":[93],"ring-barrier":[94],"configuration":[95],"consistent":[96],"controllers.":[100],"The":[101],"is":[103,150],"evaluated":[106],"benchmarked":[113],"against":[114],"state-of-the-practice":[115],"actuated":[116],"(ASC).":[119],"To":[120,141],"assess":[121],"robustness,":[122,217],"experiments":[123],"are":[124],"conducted":[125],"across":[126,156,182],"multiple":[127,157],"volumes":[129],"origin-destination":[131],"(O-D)":[132],"patterns":[134,198,214],"levels":[137],"structural":[139],"similarity.":[140],"improve":[142],"efficiency,":[144],"distributed":[146],"asynchronous":[147],"architecture":[149],"implemented":[151],"that":[152,167],"enables":[153],"parallel":[154],"computing":[158],"nodes.":[159],"Results":[160],"case":[163],"intersection":[165],"show":[166],"proposed":[169],"significantly":[173],"outperforms":[174],"optimized":[175],"ASC,":[176],"reducing":[177],"average":[178],"delay":[179],"by":[180],"11-32%":[181],"movements.":[183],"A":[184],"model":[185,209],"single":[189],"O-D":[190,213],"pattern":[191],"generalizes":[192],"well":[193],"similar":[195],"unseen":[196,225],"but":[199],"degrades":[200],"substantially":[202],"different":[203],"conditions.":[205],"In":[206],"contrast,":[207],"diverse":[212],"demonstrates":[215],"strong":[216],"consistently":[218],"outperforming":[219],"ASC":[220],"even":[221],"highly":[223],"dissimilar":[224],"scenarios.":[227]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-18T00:00:00"}