{"id":"https://openalex.org/W4416749692","doi":"https://doi.org/10.1109/jiot.2025.3637902","title":"GTALight: An IoT-Enhanced End\u2013Edge\u2013Cloud Collaborative Framework for Scalable Regional Traffic Signal Control","display_name":"GTALight: An IoT-Enhanced End\u2013Edge\u2013Cloud Collaborative Framework for Scalable Regional Traffic Signal Control","publication_year":2025,"publication_date":"2025-11-27","ids":{"openalex":"https://openalex.org/W4416749692","doi":"https://doi.org/10.1109/jiot.2025.3637902"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2025.3637902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3637902","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/A5013724471","display_name":"Yanliu Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanliu Zheng","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102205606","display_name":"Wenfei Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfei Zhao","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108048107","display_name":"Juan Luo","orcid":"https://orcid.org/0000-0002-0858-427X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Luo","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013724471"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44914334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"4","first_page":"6863","last_page":"6876"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.8126999735832214,"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":0.8126999735832214,"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":0.0949999988079071,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.009499999694526196,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/scalability","display_name":"Scalability","score":0.6316999793052673},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5964999794960022},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.5501999855041504},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.4611000120639801},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.4465999901294708},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.39640000462532043},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.3847000002861023},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.36629998683929443},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.3659000098705292},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.35199999809265137}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8174999952316284},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6316999793052673},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5964999794960022},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5539000034332275},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.5501999855041504},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.46889999508857727},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.4611000120639801},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.4465999901294708},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.39640000462532043},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.3847000002861023},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.36629998683929443},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.3659000098705292},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.35199999809265137},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.33970001339912415},{"id":"https://openalex.org/C86266404","wikidata":"https://www.wikidata.org/wiki/Q7832512","display_name":"Traffic optimization","level":4,"score":0.3343999981880188},{"id":"https://openalex.org/C46451311","wikidata":"https://www.wikidata.org/wiki/Q262550","display_name":"Traffic shaping","level":4,"score":0.3199999928474426},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.3086000084877014},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3059000074863434},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.3027999997138977},{"id":"https://openalex.org/C201100257","wikidata":"https://www.wikidata.org/wiki/Q393287","display_name":"Network traffic control","level":3,"score":0.29440000653266907},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C186766456","wikidata":"https://www.wikidata.org/wiki/Q612457","display_name":"Flow control (data)","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C2778391309","wikidata":"https://www.wikidata.org/wiki/Q7832527","display_name":"Traffic simulation","level":3,"score":0.2542000114917755},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.2529999911785126},{"id":"https://openalex.org/C527821871","wikidata":"https://www.wikidata.org/wiki/Q228502","display_name":"Access control","level":2,"score":0.25279998779296875},{"id":"https://openalex.org/C204673680","wikidata":"https://www.wikidata.org/wiki/Q1628107","display_name":"Airfield traffic pattern","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3637902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3637902","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/G6503833376","display_name":null,"funder_award_id":"2024RC1033","funder_id":"https://openalex.org/F4320330206","funder_display_name":"Science and Technology Program of Hunan Province"},{"id":"https://openalex.org/G7754386820","display_name":null,"funder_award_id":"62372163","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"},{"id":"https://openalex.org/F4320330206","display_name":"Science and Technology Program of Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2031530760","https://openalex.org/W2040159093","https://openalex.org/W2617547828","https://openalex.org/W2915117209","https://openalex.org/W2962834214","https://openalex.org/W2983178256","https://openalex.org/W2998187693","https://openalex.org/W3041789421","https://openalex.org/W3090940203","https://openalex.org/W3155413563","https://openalex.org/W3174968665","https://openalex.org/W3213889621","https://openalex.org/W4200310535","https://openalex.org/W4214717370","https://openalex.org/W4310053202","https://openalex.org/W4367838498","https://openalex.org/W4386025640","https://openalex.org/W4387303325","https://openalex.org/W4389298228","https://openalex.org/W4389317911","https://openalex.org/W4389321202","https://openalex.org/W4391936064","https://openalex.org/W4394862967","https://openalex.org/W4395056437","https://openalex.org/W4396506525","https://openalex.org/W4401806258","https://openalex.org/W4403577821","https://openalex.org/W4403826800","https://openalex.org/W4405787111","https://openalex.org/W4406086536","https://openalex.org/W4406137434","https://openalex.org/W4407406156","https://openalex.org/W4409474257","https://openalex.org/W4410027601","https://openalex.org/W4410121475","https://openalex.org/W4413318953"],"related_works":[],"abstract_inverted_index":{"Efficient":[0],"and":[1,15,36,47,61,74,88,99,102,134,145],"adaptive":[2,93],"traffic":[3,13,45,64,90,158],"signal":[4,65],"control":[5,66,94],"is":[6],"essential":[7],"for":[8,42],"alleviating":[9],"urban":[10],"congestion,":[11],"improving":[12,140],"efficiency,":[14],"reducing":[16],"emissions.":[17],"However,":[18],"existing":[19],"methods":[20],"often":[21],"rely":[22],"on":[23,112],"centralized":[24],"or":[25],"single-point":[26],"optimization":[27],"strategies,":[28],"lacking":[29],"the":[30,119,152],"capacity":[31],"to":[32],"model":[33],"spatial":[34],"dependencies":[35],"enable":[37],"coordination":[38],"among":[39],"intersections,":[40],"especially":[41],"rapidly":[43],"changing":[44],"flow":[46,159],"emergencies.":[48],"To":[49],"address":[50],"these":[51],"limitations,":[52],"we":[53],"design":[54],"an":[55],"IoT-enhanced":[56],"end-edge-cloud":[57],"collaborative":[58],"computing":[59],"architecture,":[60],"propose":[62],"a":[63,79,104],"algorithm,":[67],"GTALight.":[68],"GTALight":[69,123,155],"integrates":[70],"graph":[71],"neural":[72],"networks":[73],"Transformer":[75],"attention":[76],"mechanisms":[77],"within":[78],"multi-agent":[80],"reinforcement":[81],"learning":[82],"framework.":[83],"It":[84],"models":[85],"intersection":[86],"topology":[87],"dynamic":[89],"states,":[91],"enabling":[92],"through":[95],"graph-based":[96],"message":[97],"passing":[98],"coordinated":[100],"decision-making,":[101],"uses":[103],"decoupled":[105],"reward":[106],"mechanism":[107],"encourages":[108],"global":[109],"cooperation.":[110],"Experiments":[111],"real-world":[113],"datasets":[114],"show":[115],"that,":[116],"compared":[117],"with":[118],"best-performing":[120],"baseline":[121],"CoLight,":[122],"reduces":[124],"average":[125,141],"travel":[126],"time":[127],"by":[128,132,137,143,147],"6.5%,":[129],"queue":[130],"length":[131],"40.7%,":[133],"fuel":[135],"consumption":[136],"9.8%,":[138],"while":[139,160],"speed":[142],"13.4%":[144],"throughput":[146],"4.6%.":[148],"These":[149],"results":[150],"highlight":[151],"efficacy":[153],"of":[154],"in":[156],"optimizing":[157],"concurrently":[161],"enhancing":[162],"environmental":[163],"sustainability.":[164]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-28T00:00:00"}
