{"id":"https://openalex.org/W2915987858","doi":"https://doi.org/10.1109/tits.2019.2895285","title":"Reinforcement-Learning-Based Cooperative Adaptive Cruise Control of Buses in the Lincoln Tunnel Corridor with Time-Varying Topology","display_name":"Reinforcement-Learning-Based Cooperative Adaptive Cruise Control of Buses in the Lincoln Tunnel Corridor with Time-Varying Topology","publication_year":2019,"publication_date":"2019-02-20","ids":{"openalex":"https://openalex.org/W2915987858","doi":"https://doi.org/10.1109/tits.2019.2895285","mag":"2915987858"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2019.2895285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2019.2895285","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5040120960","display_name":"Weinan Gao","orcid":"https://orcid.org/0000-0001-7921-018X"},"institutions":[{"id":"https://openalex.org/I39815113","display_name":"Georgia Southern University","ror":"https://ror.org/04agmb972","country_code":"US","type":"education","lineage":["https://openalex.org/I39815113"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weinan Gao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Georgia Southern University, Statesboro, GA, USA"],"raw_orcid":"https://orcid.org/0000-0001-7921-018X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Georgia Southern University, Statesboro, GA, USA","institution_ids":["https://openalex.org/I39815113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083751838","display_name":"Jingqin Gao","orcid":"https://orcid.org/0000-0002-1718-2432"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingqin Gao","raw_affiliation_strings":["Department of Civil and Urban Engineering, New York University Tandon School of Engineering, Brooklyn, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-1718-2432","affiliations":[{"raw_affiliation_string":"Department of Civil and Urban Engineering, New York University Tandon School of Engineering, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009215869","display_name":"Kaan \u00d6zbay","orcid":"https://orcid.org/0000-0001-7909-6532"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaan Ozbay","raw_affiliation_strings":["Center for Urban Science and Progress, New York University Tandon School of Engineering, Brooklyn, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Urban Science and Progress, New York University Tandon School of Engineering, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067046312","display_name":"Zhong\u2010Ping Jiang","orcid":"https://orcid.org/0000-0002-4868-9359"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhong-Ping Jiang","raw_affiliation_strings":["Control and Networks Lab, New York University Tandon School of Engineering, Brooklyn, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-4868-9359","affiliations":[{"raw_affiliation_string":"Control and Networks Lab, New York University Tandon School of Engineering, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.9123,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.96720297,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"20","issue":"10","first_page":"3796","last_page":"3805"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":1.0,"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":1.0,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cooperative-adaptive-cruise-control","display_name":"Cooperative Adaptive Cruise Control","score":0.8994190096855164},{"id":"https://openalex.org/keywords/cruise-control","display_name":"Cruise control","score":0.8801475763320923},{"id":"https://openalex.org/keywords/headway","display_name":"Headway","score":0.7326624393463135},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.6226764917373657},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.604762077331543},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5720077753067017},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5484259724617004},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5011451244354248},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.4912208914756775},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.449154794216156},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.43505868315696716},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4340817332267761},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.42105287313461304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4170839190483093},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.38326501846313477},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3594842553138733},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2995726466178894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17106279730796814},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.13301557302474976}],"concepts":[{"id":"https://openalex.org/C2780150632","wikidata":"https://www.wikidata.org/wiki/Q5167872","display_name":"Cooperative Adaptive Cruise Control","level":4,"score":0.8994190096855164},{"id":"https://openalex.org/C113168747","wikidata":"https://www.wikidata.org/wiki/Q507295","display_name":"Cruise control","level":3,"score":0.8801475763320923},{"id":"https://openalex.org/C2779240695","wikidata":"https://www.wikidata.org/wiki/Q4383682","display_name":"Headway","level":2,"score":0.7326624393463135},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.6226764917373657},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.604762077331543},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5720077753067017},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5484259724617004},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5011451244354248},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4912208914756775},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.449154794216156},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.43505868315696716},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4340817332267761},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.42105287313461304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4170839190483093},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.38326501846313477},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3594842553138733},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2995726466178894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17106279730796814},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.13301557302474976},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2019.2895285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2019.2895285","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1335624659","display_name":null,"funder_award_id":"ECCS-1501044","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309290","display_name":"New York University","ror":"https://ror.org/0190ak572"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W902180","https://openalex.org/W575340382","https://openalex.org/W1515851193","https://openalex.org/W1576452626","https://openalex.org/W1601081659","https://openalex.org/W1666110132","https://openalex.org/W1991095535","https://openalex.org/W1991638565","https://openalex.org/W2007718857","https://openalex.org/W2036375849","https://openalex.org/W2037025184","https://openalex.org/W2060605484","https://openalex.org/W2064435199","https://openalex.org/W2089422812","https://openalex.org/W2096310934","https://openalex.org/W2099589402","https://openalex.org/W2101628261","https://openalex.org/W2101691062","https://openalex.org/W2111204826","https://openalex.org/W2129922606","https://openalex.org/W2132479764","https://openalex.org/W2148439597","https://openalex.org/W2150454375","https://openalex.org/W2165726932","https://openalex.org/W2170973929","https://openalex.org/W2214884926","https://openalex.org/W2333120204","https://openalex.org/W2340995602","https://openalex.org/W2343754557","https://openalex.org/W2464333320","https://openalex.org/W2484646121","https://openalex.org/W2487144912","https://openalex.org/W2489401300","https://openalex.org/W2508598219","https://openalex.org/W2543834468","https://openalex.org/W2605763251","https://openalex.org/W2621181484","https://openalex.org/W2726784225","https://openalex.org/W2762709466","https://openalex.org/W2766122855","https://openalex.org/W2767307332","https://openalex.org/W2790897797","https://openalex.org/W2796709586","https://openalex.org/W2800079132","https://openalex.org/W2902899807","https://openalex.org/W2993449666","https://openalex.org/W4214717370","https://openalex.org/W4242970300","https://openalex.org/W4301886962","https://openalex.org/W6616400305","https://openalex.org/W6682482268","https://openalex.org/W6756337136"],"related_works":["https://openalex.org/W1037048640","https://openalex.org/W1598459522","https://openalex.org/W568651885","https://openalex.org/W4239082859","https://openalex.org/W3033637789","https://openalex.org/W2810760421","https://openalex.org/W2179921393","https://openalex.org/W2726547071","https://openalex.org/W4287766082","https://openalex.org/W3207577175"],"abstract_inverted_index":{"The":[0,17,122,138,158],"exclusive":[1],"bus":[2,11,81,184],"lane":[3],"(XBL)":[4],"is":[5,107,144,186],"one":[6],"of":[7,70,80,124,131,140,154,170],"the":[8,15,24,27,56,64,68,119,125,129,132,141,155,163,167,171,176,183],"most":[9],"popular":[10],"transit":[12],"systems":[13],"in":[14,26,166],"U.S.":[16],"Lincoln":[18],"Tunnel":[19],"utilizes":[20],"an":[21],"XBL":[22,156,172],"through":[23],"tunnel":[25],"AM":[28],"peak":[29],"period.":[30],"This":[31],"paper":[32],"proposes":[33],"a":[34,47,84,104,147],"novel":[35],"data-driven":[36],"cooperative":[37],"adaptive":[38],"cruise":[39],"control":[40],"(CACC)":[41],"algorithm":[42,127],"that":[43,98,162],"aims":[44],"to":[45,175],"minimize":[46],"cost":[48],"function":[49],"for":[50],"connected":[51],"and":[52,114,128],"autonomous":[53,89,168],"buses":[54],"along":[55],"XBL.":[57],"Different":[58],"from":[59,95,118],"existing":[60],"model-based":[61],"CACC":[62],"algorithms,":[63],"proposed":[65,126,142],"approach":[66,143],"employs":[67],"idea":[69],"reinforcement":[71],"learning,":[72],"which":[73],"does":[74],"not":[75],"rely":[76],"on":[77],"accurate":[78],"knowledge":[79],"dynamics.":[82],"Considering":[83],"time-varying":[85],"topology,":[86],"where":[87],"each":[88],"vehicle":[90],"can":[91],"only":[92],"receive":[93],"information":[94],"preceding":[96],"vehicles":[97],"are":[99,135,173],"within":[100],"its":[101],"communication":[102],"range,":[103],"distributed":[105],"controller":[106],"learned":[108],"real-time":[109],"by":[110,188],"online":[111],"headway,":[112],"velocity,":[113],"acceleration":[115],"data":[116],"collected":[117],"system":[120,134],"trajectories.":[121],"convergence":[123],"stability":[130],"closed-loop":[133],"rigorously":[136],"analyzed.":[137],"effectiveness":[139],"demonstrated":[145],"using":[146],"well-calibrated":[148],"Paramics":[149],"microscopic":[150],"traffic":[151],"simulation":[152,159],"model":[153],"corridor.":[157],"results":[160],"show":[161],"travel":[164,179],"time":[165,180],"version":[169],"close":[174],"present":[177],"day":[178],"even":[181],"when":[182],"volume":[185],"increased":[187],"30%.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}