{"id":"https://openalex.org/W3127491992","doi":"https://doi.org/10.1109/ants50601.2020.9342819","title":"Deep Reinforcement Learning based Traffic Signal optimization for Multiple Intersections in ITS","display_name":"Deep Reinforcement Learning based Traffic Signal optimization for Multiple Intersections in ITS","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3127491992","doi":"https://doi.org/10.1109/ants50601.2020.9342819","mag":"3127491992"},"language":"en","primary_location":{"id":"doi:10.1109/ants50601.2020.9342819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ants50601.2020.9342819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","raw_type":"proceedings-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/A5021281866","display_name":"Ananya Paul","orcid":"https://orcid.org/0000-0002-2369-4223"},"institutions":[{"id":"https://openalex.org/I98365261","display_name":"Indian Institute of Engineering Science and Technology, Shibpur","ror":"https://ror.org/02ytfzr55","country_code":"IN","type":"education","lineage":["https://openalex.org/I98365261"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ananya Paul","raw_affiliation_strings":["IIEST, Shibpur, Howrah, India"],"affiliations":[{"raw_affiliation_string":"IIEST, Shibpur, Howrah, India","institution_ids":["https://openalex.org/I98365261"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103786137","display_name":"Sulata Mitra","orcid":null},"institutions":[{"id":"https://openalex.org/I98365261","display_name":"Indian Institute of Engineering Science and Technology, Shibpur","ror":"https://ror.org/02ytfzr55","country_code":"IN","type":"education","lineage":["https://openalex.org/I98365261"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sulata Mitra","raw_affiliation_strings":["IIEST, Shibpur, Howrah, India"],"affiliations":[{"raw_affiliation_string":"IIEST, Shibpur, Howrah, India","institution_ids":["https://openalex.org/I98365261"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021281866"],"corresponding_institution_ids":["https://openalex.org/I98365261"],"apc_list":null,"apc_paid":null,"fwci":1.6183,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83911407,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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":0.9994999766349792,"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":0.9994999766349792,"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":0.9957000017166138,"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":0.992900013923645,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.9098954796791077},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7230786681175232},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5800714492797852},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.564192533493042},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.557593584060669},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5091068148612976},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.49178817868232727},{"id":"https://openalex.org/keywords/traffic-optimization","display_name":"Traffic optimization","score":0.44211798906326294},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4363114833831787},{"id":"https://openalex.org/keywords/traffic-simulation","display_name":"Traffic simulation","score":0.4344891905784607},{"id":"https://openalex.org/keywords/advanced-traffic-management-system","display_name":"Advanced Traffic Management System","score":0.4251709580421448},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.4029942750930786},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.39854589104652405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3964135944843292},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.38207390904426575},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.28492116928100586},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.25781160593032837},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1895754337310791},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.13944822549819946}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.9098954796791077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7230786681175232},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5800714492797852},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.564192533493042},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.557593584060669},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5091068148612976},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.49178817868232727},{"id":"https://openalex.org/C86266404","wikidata":"https://www.wikidata.org/wiki/Q7832512","display_name":"Traffic optimization","level":4,"score":0.44211798906326294},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4363114833831787},{"id":"https://openalex.org/C2778391309","wikidata":"https://www.wikidata.org/wiki/Q7832527","display_name":"Traffic simulation","level":3,"score":0.4344891905784607},{"id":"https://openalex.org/C42693407","wikidata":"https://www.wikidata.org/wiki/Q4686317","display_name":"Advanced Traffic Management System","level":3,"score":0.4251709580421448},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.4029942750930786},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.39854589104652405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3964135944843292},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.38207390904426575},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.28492116928100586},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.25781160593032837},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1895754337310791},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.13944822549819946},{"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/ants50601.2020.9342819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ants50601.2020.9342819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7200000286102295,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2162115371","https://openalex.org/W2582812851","https://openalex.org/W2794842204","https://openalex.org/W2809148419","https://openalex.org/W2898015307","https://openalex.org/W2950149761","https://openalex.org/W2963027910","https://openalex.org/W2977639220","https://openalex.org/W2980258124","https://openalex.org/W3044015199","https://openalex.org/W3106357768","https://openalex.org/W6768003243","https://openalex.org/W6780559895"],"related_works":["https://openalex.org/W4320879016","https://openalex.org/W4360619413","https://openalex.org/W4390341805","https://openalex.org/W3157260122","https://openalex.org/W4312583000","https://openalex.org/W2288817554","https://openalex.org/W2040863625","https://openalex.org/W4316658982","https://openalex.org/W1837767970","https://openalex.org/W3137633105"],"abstract_inverted_index":{"The":[0,30,158,170],"number":[1],"of":[2,33,49,67,78,90,105,127,143,165],"vehicles":[3,109],"is":[4,14,36,46,76,96,138,161],"drastically":[5],"increasing":[6],"worldwide,":[7],"especially":[8],"in":[9,57,152,163],"large":[10,68,92],"cities.":[11],"Thus":[12],"there":[13,95],"a":[15,91,97,119],"need":[16,99],"to":[17,24,37,85,110,149],"model":[18],"and":[19],"enhance":[20],"the":[21,50,87,106,124,136,144,178],"traffic":[22,34,39,43,65,88,103,125],"management":[23,35,66],"help":[25],"meet":[26],"this":[27,80,117],"rising":[28],"requirement.":[29],"primary":[31],"purpose":[32],"reduce":[38],"congestion":[40],"by":[41],"optimizing":[42],"signal,":[44],"which":[45],"currently":[47],"one":[48],"main":[51],"concerns.":[52],"Reinforcement":[53,73],"Learning":[54,74],"(RL)":[55],"approaches":[56],"Intelligent":[58],"Transportation":[59],"System":[60],"(ITS)":[61],"are":[62],"infeasible":[63],"for":[64,100],"road":[69,93],"networks.":[70],"However,":[71],"Deep":[72],"(DRL)":[75],"capable":[77],"handling":[79],"enlarged":[81],"problem.":[82],"In":[83,116,134],"order":[84],"manage":[86],"flow":[89],"network,":[94],"strong":[98],"coordination":[101],"between":[102],"signals":[104],"intersections,":[107],"enabling":[108],"pass":[111],"through":[112],"intersections":[113,129],"more":[114],"easily.":[115],"paper,":[118],"single":[120],"DRL":[121],"agent":[122,137],"manages":[123],"signal":[126,182],"multiple":[128],"using":[130],"policy":[131],"gradient":[132],"algorithm.":[133],"particular,":[135],"trained":[139],"with":[140,177],"spatio-temporal":[141],"data":[142],"environment":[145],"that":[146],"allows":[147],"it":[148,176],"perform":[150],"action":[151],"different":[153,167],"deep":[154],"neural":[155],"network":[156],"models.":[157],"simulation":[159,168],"experiment":[160],"studied":[162],"terms":[164],"three":[166],"metrics.":[169],"proposed":[171],"system":[172],"outperforms":[173],"while":[174],"comparing":[175],"baseline":[179],"i.e.":[180],"fixed":[181],"duration":[183],"systems.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}