{"id":"https://openalex.org/W4308080614","doi":"https://doi.org/10.1109/itsc55140.2022.9921752","title":"A Deep Reinforcement Learning Framework with Memory Network to Coordinate Traffic Signal Control","display_name":"A Deep Reinforcement Learning Framework with Memory Network to Coordinate Traffic Signal Control","publication_year":2022,"publication_date":"2022-10-08","ids":{"openalex":"https://openalex.org/W4308080614","doi":"https://doi.org/10.1109/itsc55140.2022.9921752"},"language":"en","primary_location":{"id":"doi:10.1109/itsc55140.2022.9921752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9921752","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","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/A5038869835","display_name":"Aowen Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"A. Yan Kong","raw_affiliation_strings":["Nanjing University of Information, Science and Technology,Nanjing,China,210044"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Information, Science and Technology,Nanjing,China,210044","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001380280","display_name":"Bingjian Lu","orcid":"https://orcid.org/0000-0002-1931-0506"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"B. Xueliang Lu","raw_affiliation_strings":["Nanjing University of Information, Science and Technology,Nanjing,China,210044"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Information, Science and Technology,Nanjing,China,210044","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101979736","display_name":"Chun Yang","orcid":"https://orcid.org/0000-0001-8267-7442"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"C. Zhichao Yang","raw_affiliation_strings":["Nanjing University of Information, Science and Technology,Nanjing,China,210044"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Information, Science and Technology,Nanjing,China,210044","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051349393","display_name":"D. Minjie Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Minjie Zhang","raw_affiliation_strings":["School of Computing and Information Technology University of Wollongong"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Technology University of Wollongong","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038869835"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":1.6858,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.84634146,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3825","last_page":"3830"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9833999872207642,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9833999872207642,"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/T10524","display_name":"Traffic control and management","score":0.9732000231742859,"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":0.8664896488189697},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7572458982467651},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5971724987030029},{"id":"https://openalex.org/keywords/traffic-signal","display_name":"Traffic signal","score":0.5651154518127441},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5471717715263367},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5311300754547119},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5007939338684082},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.49933433532714844},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4496517479419708},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4199320375919342},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3533717691898346},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15205296874046326},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.12615838646888733}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8664896488189697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7572458982467651},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5971724987030029},{"id":"https://openalex.org/C2987419075","wikidata":"https://www.wikidata.org/wiki/Q8004","display_name":"Traffic signal","level":2,"score":0.5651154518127441},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5471717715263367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5311300754547119},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5007939338684082},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.49933433532714844},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4496517479419708},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4199320375919342},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3533717691898346},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15205296874046326},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.12615838646888733},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/itsc55140.2022.9921752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9921752","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:ro.uow.edu.au:test2021-12966","is_oa":false,"landing_page_url":"https://ro.uow.edu.au/test2021/7419","pdf_url":null,"source":{"id":"https://openalex.org/S4306400510","display_name":"Research Online (University of Wollongong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I204824540","host_organization_name":"University of Wollongong","host_organization_lineage":["https://openalex.org/I204824540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Harvesting Series","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"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":{"Traditional":[0],"traffic":[1,11,97],"signal":[2,98],"control(TSC)":[3],"methods":[4],"are":[5],"difficult":[6],"to":[7,9,21,90,93],"adapt":[8],"dynamic":[10],"conditions.":[12],"Nowadays,":[13],"many":[14],"people":[15],"apply":[16],"deep":[17],"reinforcement":[18],"learning":[19],"(DRL)":[20],"TSC.":[22],"However,":[23],"the":[24,36,49,69,94],"current":[25],"widely":[26],"used":[27],"original":[28],"DQN":[29],"network":[30],"in":[31,79],"TSC":[32],"does":[33],"not":[34],"consider":[35],"history":[37,70],"states":[38],"and":[39,51],"action":[40,52],"information":[41,71],"that":[42],"indeed":[43],"have":[44],"a":[45,60],"certain":[46],"impact":[47],"on":[48],"state":[50],"value":[53],"function's":[54],"prediction.":[55],"Against":[56],"this,":[57],"we":[58],"propose":[59],"framework":[61],"named":[62],"Memory":[63],"Network":[64],"Light":[65],"(MNLight),":[66],"which":[67],"takes":[68],"into":[72],"consideration":[73],"through":[74],"adding":[75],"LSTM":[76],"dual":[77],"branches":[78],"DQN[7]":[80],"structure.":[81],"Through":[82],"comprehensive":[83],"experimental":[84],"evaluation,":[85],"MNLight":[86],"has":[87],"been":[88],"proven":[89],"be":[91],"superior":[92],"existed":[95],"well-known":[96],"control":[99],"methods.":[100]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}