{"id":"https://openalex.org/W4391769578","doi":"https://doi.org/10.1109/itsc57777.2023.10422232","title":"Reinforcement learning based traffic signal control considering the railway information in Japan","display_name":"Reinforcement learning based traffic signal control considering the railway information in Japan","publication_year":2023,"publication_date":"2023-09-24","ids":{"openalex":"https://openalex.org/W4391769578","doi":"https://doi.org/10.1109/itsc57777.2023.10422232"},"language":"en","primary_location":{"id":"doi:10.1109/itsc57777.2023.10422232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc57777.2023.10422232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5014655969","display_name":"Xutao Mei","orcid":"https://orcid.org/0000-0001-6836-997X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xutao Mei","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo,Tokyo,Japan,153-8505"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo,Tokyo,Japan,153-8505","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041385695","display_name":"Nijiro Fukushima","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nijiro Fukushima","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo,Tokyo,Japan,153-8505"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo,Tokyo,Japan,153-8505","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071624044","display_name":"Bo Yang","orcid":"https://orcid.org/0000-0001-8976-5971"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Bo Yang","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo,Tokyo,Japan,153-8505"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo,Tokyo,Japan,153-8505","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087162559","display_name":"Zheng Wang","orcid":"https://orcid.org/0000-0002-7589-7954"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zheng Wang","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo,Tokyo,Japan,153-8505"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo,Tokyo,Japan,153-8505","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110869881","display_name":"Tetsuya Takata","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tetsuya Takata","raw_affiliation_strings":["Kyosan Electric Mfg. Co. Ltd.,Japan,230-0031"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyosan Electric Mfg. Co. Ltd.,Japan,230-0031","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033591878","display_name":"Hiroyuki Nagasawa","orcid":"https://orcid.org/0000-0001-7641-8188"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hiroyuki Nagasawa","raw_affiliation_strings":["Kyosan Electric Mfg. Co. Ltd.,Japan,230-0031"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyosan Electric Mfg. Co. Ltd.,Japan,230-0031","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023192293","display_name":"Kimihiko Nakano","orcid":"https://orcid.org/0000-0003-3532-960X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kimihiko Nakano","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo,Tokyo,Japan,153-8505"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo,Tokyo,Japan,153-8505","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3533","last_page":"3538"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14420","display_name":"Advanced Research in Systems and Signal Processing","score":0.9732999801635742,"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/T14420","display_name":"Advanced Research in Systems and Signal Processing","score":0.9732999801635742,"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":0.9584000110626221,"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/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9316999912261963,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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":0.8097493648529053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5784235000610352},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.47808289527893066},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.4635988771915436},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.42657095193862915},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3650604784488678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31947460770606995},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.28535953164100647},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.06492787599563599}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8097493648529053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5784235000610352},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.47808289527893066},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.4635988771915436},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.42657095193862915},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3650604784488678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31947460770606995},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28535953164100647},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.06492787599563599},{"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/itsc57777.2023.10422232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc57777.2023.10422232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2736601468","https://openalex.org/W2885445959","https://openalex.org/W2990975303","https://openalex.org/W3091266930","https://openalex.org/W4298857966","https://openalex.org/W6637967152","https://openalex.org/W6677067356","https://openalex.org/W6741002519","https://openalex.org/W6753989926"],"related_works":["https://openalex.org/W2920061524","https://openalex.org/W4310083477","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W1987513656","https://openalex.org/W2072376847","https://openalex.org/W2089013912","https://openalex.org/W2145821588"],"abstract_inverted_index":{"Reinforcement":[0],"learning":[1],"(RL)":[2],"has":[3,37],"recently":[4],"gained":[5],"significant":[6],"attention":[7,27],"as":[8],"a":[9],"dynamic":[10],"method":[11,125],"for":[12,108],"controlling":[13],"traffic":[14,20,58,113,122,142,146],"signals":[15],"based":[16],"on":[17],"the":[18,29,32,42,45,56,62,68,105,119,131,137],"real-time":[19],"flow.":[21],"However,":[22],"previous":[23],"studies":[24],"paid":[25],"little":[26],"to":[28,77,103,130],"coefficients":[30],"of":[31,44,71,86,140],"reward":[33],"function,":[34],"and":[35,90,99],"there":[36],"been":[38],"limited":[39],"research":[40,51],"investigating":[41],"effect":[43],"railway":[46,63,92],"information.":[47,64],"To":[48,65],"address":[49],"these":[50],"gaps,":[52],"this":[53],"study":[54],"investigates":[55],"RL-based":[57,121,141],"signal":[59,123],"control":[60,124,133,143],"considering":[61],"achieve":[66],"this,":[67],"SUMO":[69],"(Simulation":[70],"Urban":[72],"Mobility)":[73],"software":[74],"was":[75],"used":[76],"establish":[78,104],"an":[79],"intelligent":[80],"transportation":[81],"system":[82],"(ITS)":[83],"field":[84],"consisting":[85],"two":[87,91],"signalized":[88],"intersections":[89],"crossings.":[93],"Two":[94],"RL":[95],"algorithms,":[96],"namely":[97],"PPO":[98],"DQN,":[100],"were":[101],"employed":[102],"RL-SOMO":[106],"model":[107],"simulation":[109],"experiments":[110],"under":[111],"given":[112],"conditions.":[114],"Simulation":[115],"results":[116],"demonstrate":[117],"that":[118],"proposed":[120],"performs":[126],"significantly":[127],"better":[128],"compared":[129],"fixed":[132],"method,":[134],"which":[135],"indicates":[136],"promising":[138],"application":[139],"in":[144],"real":[145],"flow":[147],"control.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
