{"id":"https://openalex.org/W4415730797","doi":"https://doi.org/10.1155/int/8496354","title":"Towards Smarter and Safer Traffic Signal Control via Multiagent Deep Reinforcement Learning","display_name":"Towards Smarter and Safer Traffic Signal Control via Multiagent Deep Reinforcement Learning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415730797","doi":"https://doi.org/10.1155/int/8496354"},"language":"en","primary_location":{"id":"doi:10.1155/int/8496354","is_oa":true,"landing_page_url":"https://doi.org/10.1155/int/8496354","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/int/8496354","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/int/8496354","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101226065","display_name":"Jiajing Shen","orcid":"https://orcid.org/0009-0002-3025-4856"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajing Shen","raw_affiliation_strings":["School of Computer Science and Technology ,  Tongji University ,  Shanghai ,  China ,  tongji.edu.cn"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology ,  Tongji University ,  Shanghai ,  China ,  tongji.edu.cn","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023810792","display_name":"Bingquan Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingquan Yu","raw_affiliation_strings":["School of Computer Science and Technology ,  Tongji University ,  Shanghai ,  China ,  tongji.edu.cn"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology ,  Tongji University ,  Shanghai ,  China ,  tongji.edu.cn","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055909810","display_name":"Qinpei Zhao","orcid":"https://orcid.org/0000-0002-1765-1171"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinpei Zhao","raw_affiliation_strings":["School of Computer Science and Technology ,  Tongji University ,  Shanghai ,  China ,  tongji.edu.cn"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology ,  Tongji University ,  Shanghai ,  China ,  tongji.edu.cn","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016210851","display_name":"Weixiong Rao","orcid":"https://orcid.org/0000-0001-6644-0349"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weixiong Rao","raw_affiliation_strings":["School of Computer Science and Technology ,  Tongji University ,  Shanghai ,  China ,  tongji.edu.cn"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology ,  Tongji University ,  Shanghai ,  China ,  tongji.edu.cn","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016210851"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":{"value":2500,"currency":"USD","value_usd":2500},"apc_paid":{"value":2500,"currency":"USD","value_usd":2500},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.4212344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2025","issue":"1","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":0.8597000241279602,"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":0.8597000241279602,"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":0.09200000017881393,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.0038999998942017555,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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":0.8122000098228455},{"id":"https://openalex.org/keywords/safer","display_name":"SAFER","score":0.7781000137329102},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5584999918937683},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.5149000287055969},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.49720001220703125},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49219998717308044},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4627000093460083},{"id":"https://openalex.org/keywords/multi-agent-system","display_name":"Multi-agent system","score":0.4090000092983246},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.375}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8122000098228455},{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.7781000137329102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7572000026702881},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5584999918937683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.516700029373169},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.5149000287055969},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.49720001220703125},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49219998717308044},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4627000093460083},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.45179998874664307},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.4090000092983246},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.375},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3720000088214874},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.3513000011444092},{"id":"https://openalex.org/C2778391309","wikidata":"https://www.wikidata.org/wiki/Q7832527","display_name":"Traffic simulation","level":3,"score":0.3400999903678894},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.33820000290870667},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.3093999922275543},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3073999881744385},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30660000443458557},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.304500013589859},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.273499995470047},{"id":"https://openalex.org/C94168897","wikidata":"https://www.wikidata.org/wiki/Q574324","display_name":"Network traffic simulation","level":4,"score":0.2549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1155/int/8496354","is_oa":true,"landing_page_url":"https://doi.org/10.1155/int/8496354","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/int/8496354","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1155/int/8496354","is_oa":true,"landing_page_url":"https://doi.org/10.1155/int/8496354","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/int/8496354","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415730797.pdf","grobid_xml":"https://content.openalex.org/works/W4415730797.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W297191370","https://openalex.org/W1969758122","https://openalex.org/W2002803284","https://openalex.org/W2022686149","https://openalex.org/W2101460915","https://openalex.org/W2124657875","https://openalex.org/W2125001944","https://openalex.org/W2128431497","https://openalex.org/W2498017881","https://openalex.org/W2794842204","https://openalex.org/W2809148419","https://openalex.org/W2809254203","https://openalex.org/W2919115771","https://openalex.org/W2963027910","https://openalex.org/W2968259729","https://openalex.org/W2983178256","https://openalex.org/W3108046676","https://openalex.org/W3136849308","https://openalex.org/W3173760308","https://openalex.org/W4206335483","https://openalex.org/W4382318215","https://openalex.org/W4385767260","https://openalex.org/W4385833503","https://openalex.org/W4387123596"],"related_works":[],"abstract_inverted_index":{"Recently,":[0],"deep":[1,70],"reinforcement":[2],"learning":[3],"(DRL)":[4],"has":[5],"been":[6],"employed":[7],"for":[8,92],"intelligent":[9],"traffic\u2010light":[10],"control":[11],"and":[12,112,148,157],"demonstrated":[13,140],"promising":[14],"results.":[15],"However,":[16],"state\u2010of\u2010the\u2010art":[17],"DRL\u2010based":[18],"systems":[19],"still":[20],"rely":[21],"on":[22,67],"discrete":[23],"decision\u2010making,":[24],"which":[25],"can":[26],"lead":[27],"to":[28,41,104,117],"unsafe":[29],"driving":[30],"practices.":[31],"Additionally,":[32],"existing":[33],"feature":[34,102],"representations":[35],"of":[36,46,53,108,130,152],"the":[37,43,68,89,106,123,142,150],"environment":[38],"often":[39],"fail":[40],"capture":[42],"complex":[44],"dynamics":[45],"traffic":[47,54,94,109,137],"flows,":[48],"resulting":[49],"in":[50],"imprecise":[51],"predictions":[52],"conditions.":[55],"To":[56],"address":[57],"these":[58],"issues,":[59],"we":[60],"propose":[61],"a":[62,84,133],"novel":[63],"DRL":[64],"framework":[65],"based":[66],"multiagent":[69],"deterministic":[71],"policy":[72],"gradient":[73],"algorithm.":[74],"Our":[75,125],"method":[76,144],"offers":[77],"several":[78],"key":[79],"innovations:":[80],"it":[81],"suggests":[82],"employing":[83],"transitional":[85],"phase":[86,91],"before":[87],"changing":[88],"current":[90],"safer":[93],"management,":[95],"integrates":[96],"local":[97],"road":[98],"network":[99],"topology":[100],"into":[101],"representation":[103],"enhance":[105],"accuracy":[107],"flow":[110],"predictions,":[111],"uses":[113],"two\u2010layer":[114],"regional":[115],"features":[116],"improve":[118],"coordination":[119],"among":[120],"agents":[121],"within":[122],"region.":[124],"extensive":[126],"evaluations":[127],"using":[128],"simulation":[129,138],"urban":[131],"mobility,":[132],"widely":[134],"used":[135],"multimodal":[136],"package,":[139],"that":[141],"proposed":[143],"outperformed":[145],"previous":[146],"methods":[147],"reduced":[149],"number":[151],"emergency":[153],"stops,":[154],"queue":[155],"lengths,":[156],"waiting":[158],"times.":[159]},"counts_by_year":[],"updated_date":"2026-03-10T14:07:55.174380","created_date":"2025-10-31T00:00:00"}
