{"id":"https://openalex.org/W4376481153","doi":"https://doi.org/10.1109/tvt.2023.3275582","title":"Multi-Agent Reinforcement Learning-Based Decision Making for Twin-Vehicles Cooperative Driving in Stochastic Dynamic Highway Environments","display_name":"Multi-Agent Reinforcement Learning-Based Decision Making for Twin-Vehicles Cooperative Driving in Stochastic Dynamic Highway Environments","publication_year":2023,"publication_date":"2023-05-12","ids":{"openalex":"https://openalex.org/W4376481153","doi":"https://doi.org/10.1109/tvt.2023.3275582"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2023.3275582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2023.3275582","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-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/A5077992146","display_name":"Siyuan Chen","orcid":"https://orcid.org/0000-0003-4140-9729"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Chen","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4140-9729","affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416064","display_name":"Meiling Wang","orcid":"https://orcid.org/0000-0002-3618-7423"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiling Wang","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3618-7423","affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029808668","display_name":"Wenjie Song","orcid":"https://orcid.org/0000-0002-4121-908X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Song","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4121-908X","affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062124960","display_name":"Yi Yang","orcid":"https://orcid.org/0000-0003-3964-2433"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Yang","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3964-2433","affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091459774","display_name":"Mengyin Fu","orcid":"https://orcid.org/0000-0002-5520-7127"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengyin Fu","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":2.9079,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.916,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"72","issue":"10","first_page":"12615","last_page":"12627"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9998000264167786,"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":0.9998000264167786,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9879999756813049,"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":0.7845178842544556},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.670842707157135},{"id":"https://openalex.org/keywords/overtaking","display_name":"Overtaking","score":0.6614828705787659},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5689266920089722},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.504250168800354},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4799787700176239},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.4186890125274658},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.37301093339920044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30714428424835205},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.30033841729164124},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10577067732810974}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7845178842544556},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.670842707157135},{"id":"https://openalex.org/C2778448659","wikidata":"https://www.wikidata.org/wiki/Q1931051","display_name":"Overtaking","level":2,"score":0.6614828705787659},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5689266920089722},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.504250168800354},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4799787700176239},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.4186890125274658},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.37301093339920044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30714428424835205},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.30033841729164124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10577067732810974},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2023.3275582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2023.3275582","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G2217668812","display_name":null,"funder_award_id":"61903034","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5448203614","display_name":null,"funder_award_id":"61973034","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5583208626","display_name":null,"funder_award_id":"IRT-16R06","funder_id":"https://openalex.org/F4320338204","funder_display_name":"Program for Changjiang Scholars and Innovative Research Team in University"},{"id":"https://openalex.org/G6554935138","display_name":null,"funder_award_id":"T2014224","funder_id":"https://openalex.org/F4320338204","funder_display_name":"Program for Changjiang Scholars and Innovative Research Team in University"},{"id":"https://openalex.org/G7914619715","display_name":null,"funder_award_id":"U1913203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327514","display_name":"Beijing Institute of Technology Research Fund Program for Young Scholars","ror":null},{"id":"https://openalex.org/F4320338204","display_name":"Program for Changjiang Scholars and Innovative Research Team in University","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1544016679","https://openalex.org/W1940872118","https://openalex.org/W1982592145","https://openalex.org/W2080442598","https://openalex.org/W2119120935","https://openalex.org/W2119959427","https://openalex.org/W2171541671","https://openalex.org/W2278520988","https://openalex.org/W2342698491","https://openalex.org/W2530849036","https://openalex.org/W2592290723","https://openalex.org/W2617547828","https://openalex.org/W2746553466","https://openalex.org/W2807741983","https://openalex.org/W2869375357","https://openalex.org/W2884634491","https://openalex.org/W2915117209","https://openalex.org/W2949963774","https://openalex.org/W2950993296","https://openalex.org/W2982316857","https://openalex.org/W2997958396","https://openalex.org/W2999916327","https://openalex.org/W3046288222","https://openalex.org/W3111248667","https://openalex.org/W3115696625","https://openalex.org/W3124225140","https://openalex.org/W3131743514","https://openalex.org/W3154088878","https://openalex.org/W4226246587","https://openalex.org/W4286748781","https://openalex.org/W4287755265","https://openalex.org/W4288301519","https://openalex.org/W4295598622","https://openalex.org/W4298857966","https://openalex.org/W4299802797","https://openalex.org/W4301501993","https://openalex.org/W4308080604","https://openalex.org/W4394661925","https://openalex.org/W6637967152","https://openalex.org/W6640362995","https://openalex.org/W6738796088","https://openalex.org/W6749304979","https://openalex.org/W6752380930","https://openalex.org/W6753596642","https://openalex.org/W6754779100","https://openalex.org/W6756925679","https://openalex.org/W6762491519","https://openalex.org/W6764487934","https://openalex.org/W6773371732","https://openalex.org/W6781750019","https://openalex.org/W6784152626","https://openalex.org/W6790451431","https://openalex.org/W6794165354","https://openalex.org/W6840380725"],"related_works":["https://openalex.org/W3084163143","https://openalex.org/W3198453306","https://openalex.org/W3081587374","https://openalex.org/W591161629","https://openalex.org/W2294880310","https://openalex.org/W3004478217","https://openalex.org/W3208192858","https://openalex.org/W1998625354","https://openalex.org/W2102544652","https://openalex.org/W2501594388"],"abstract_inverted_index":{"In":[0],"the":[1,61,65,75,94,98,109,122,166],"past":[2],"decade,":[3],"reinforcement":[4],"learning":[5],"(RL)":[6],"has":[7,159],"achieved":[8],"encouraging":[9],"results":[10],"in":[11,15,68,134],"autonomous":[12],"driving,":[13,30],"especially":[14],"well-structured":[16],"and":[17,41,73,77,97,101,131],"regulated":[18],"highway":[19,71,136],"environments.":[20],"However,":[21],"few":[22],"researches":[23],"pay":[24],"attention":[25,92],"to":[26,93,107,138,141],"RL-based":[27],"multiple-vehicles":[28],"cooperative":[29,54,87,99,161],"which":[31,59],"is":[32],"much":[33],"more":[34],"challenging":[35],"because":[36],"of":[37,64,79,111,168],"dynamic":[38,70,135],"real-time":[39],"interactions":[40],"transient":[42],"scenarios.":[43],"This":[44],"article":[45],"proposes":[46],"a":[47,103,126,170],"Multi-Agent":[48],"Reinforcement":[49],"Learning":[50],"(MARL)":[51],"based":[52],"twin-vehicles":[53,123],"driving":[55,172],"decision":[56,81],"making":[57,82],"method":[58,67,89,106,158],"achieves":[60],"generalization":[62],"adaptation":[63],"RL":[66],"highly":[69],"environments":[72],"enhances":[74],"flexibility":[76],"effectiveness":[78],"collaborative":[80],"system.":[83],"The":[84],"proposed":[85],"fair":[86],"MARL":[88],"pays":[90],"equal":[91],"individual":[95],"intelligence":[96],"performance,":[100,162],"employs":[102],"stable":[104],"estimation":[105],"reduce":[108],"propagation":[110],"overestimated":[112],"joint":[113],"<inline-formula":[114],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[115],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[116],"notation=\"LaTeX\">$Q$</tex-math></inline-formula>":[117],"-values":[118],"between":[119,128],"agents.":[120],"Thus,":[121],"system":[124],"strikes":[125],"balance":[127],"maintaining":[129],"formation":[130],"free":[132],"overtaking":[133],"environments,":[137],"intelligently":[139],"adapt":[140],"different":[142],"scenarios,":[143],"such":[144],"as":[145],"heavy":[146],"traffic,":[147,149],"loose":[148],"even":[150],"some":[151],"emergency.":[152],"Targeted":[153],"experiments":[154],"show":[155],"that":[156],"our":[157],"strong":[160],"also":[163],"further":[164],"increases":[165],"possibility":[167],"creating":[169],"harmonious":[171],"environment.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":6}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}