{"id":"https://openalex.org/W2771256242","doi":"https://doi.org/10.1109/smc.2017.8122738","title":"Deep Q learning for traffic simulation in autonomous driving at a highway junction","display_name":"Deep Q learning for traffic simulation in autonomous driving at a highway junction","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2771256242","doi":"https://doi.org/10.1109/smc.2017.8122738","mag":"2771256242"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2017.8122738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5083322600","display_name":"Koji Kashihara","orcid":"https://orcid.org/0000-0003-2442-2278"},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Koji Kashihara","raw_affiliation_strings":["Graduate School of Technology, Industrial and Social Sciences Tokushima University, Tokushima, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Technology, Industrial and Social Sciences Tokushima University, Tokushima, Japan","institution_ids":["https://openalex.org/I922474255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5083322600"],"corresponding_institution_ids":["https://openalex.org/I922474255"],"apc_list":null,"apc_paid":null,"fwci":3.9732,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.95236978,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"984","last_page":"988"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9990000128746033,"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":0.9980000257492065,"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":0.8483113050460815},{"id":"https://openalex.org/keywords/q-learning","display_name":"Q-learning","score":0.7147530913352966},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6567339301109314},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6465733051300049},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5388462543487549},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5347940325737},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4907875955104828},{"id":"https://openalex.org/keywords/highway-system","display_name":"Highway system","score":0.4354414939880371},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.32238703966140747},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2455000877380371},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.16054165363311768}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8483113050460815},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.7147530913352966},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6567339301109314},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6465733051300049},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5388462543487549},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5347940325737},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4907875955104828},{"id":"https://openalex.org/C2992914290","wikidata":"https://www.wikidata.org/wiki/Q5759966","display_name":"Highway system","level":2,"score":0.4354414939880371},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32238703966140747},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2455000877380371},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.16054165363311768},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2017.8122738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1479882868","https://openalex.org/W1810943226","https://openalex.org/W2130036899","https://openalex.org/W2173248099","https://openalex.org/W2405619733","https://openalex.org/W2566028116","https://openalex.org/W2963864421","https://openalex.org/W4249556772"],"related_works":["https://openalex.org/W4210680852","https://openalex.org/W3211352205","https://openalex.org/W4206669594","https://openalex.org/W4308083845","https://openalex.org/W1890963104","https://openalex.org/W4311122361","https://openalex.org/W2891764815","https://openalex.org/W4378771262","https://openalex.org/W4383684230","https://openalex.org/W2771256242"],"abstract_inverted_index":{"Traf\u00ef\u00eec":[0],"congestion":[1],"is":[2],"a":[3,16,27,41,52,62,75],"serious":[4],"global":[5],"problem.":[6],"Enhanced":[7],"or":[8],"deep":[9,87],"Q":[10,22,45,72],"learning":[11,23,46,51,73,89],"algorithms":[12],"were":[13],"applied":[14],"to":[15,36,95],"traffic":[17,59],"simulation":[18],"study.":[19],"The":[20],"enhanced":[21],"was":[24,34,47],"based":[25,85],"on":[26,86],"repeated":[28],"local":[29],"search":[30],"algorithm,":[31],"and":[32],"it":[33],"able":[35],"find":[37],"optimal":[38],"pathways":[39,98],"under":[40],"multi-agent":[42],"system.":[43,103],"Deep":[44],"also":[48],"capable":[49],"of":[50,70,78],"suitable":[53],"strategy,":[54],"considering":[55],"dynamic":[56],"changes":[57],"in":[58],"circumstances":[60],"at":[61],"highway":[63],"junction.":[64],"In":[65],"particular,":[66],"the":[67,71,79],"target":[68],"network":[69],"realized":[74],"stable":[76],"regulation":[77],"loss":[80],"function.":[81],"This":[82],"intelligent":[83],"method":[84],"reinforcement":[88],"could":[90],"become":[91],"an":[92,100],"effective":[93],"tool":[94],"optimize":[96],"car":[97],"including":[99],"autonomous":[101],"driving":[102]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
