{"id":"https://openalex.org/W4409659326","doi":"https://doi.org/10.1109/tits.2025.3559916","title":"Intelligent Eco-Driving Control for Urban CAVs Using a Model-Based Controller Assisted Deep Reinforcement Learning","display_name":"Intelligent Eco-Driving Control for Urban CAVs Using a Model-Based Controller Assisted Deep Reinforcement Learning","publication_year":2025,"publication_date":"2025-04-22","ids":{"openalex":"https://openalex.org/W4409659326","doi":"https://doi.org/10.1109/tits.2025.3559916"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3559916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3559916","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/A5101453769","display_name":"Jie Li","orcid":"https://orcid.org/0000-0003-1326-6257"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Li","raw_affiliation_strings":["School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-1326-6257","affiliations":[{"raw_affiliation_string":"School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052558370","display_name":"Xiaodong Wu","orcid":"https://orcid.org/0000-0002-0096-3830"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Wu","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0096-3830","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024819274","display_name":"Xian\u2013Xu Bai","orcid":"https://orcid.org/0000-0003-4477-8335"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianxu Bai","raw_affiliation_strings":["School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-4477-8335","affiliations":[{"raw_affiliation_string":"School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016453498","display_name":"Yonggang Liu","orcid":"https://orcid.org/0000-0001-9768-328X"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonggang Liu","raw_affiliation_strings":["State Key Laboratory of Mechanical Transmission and the College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-9768-328X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical Transmission and the College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100725881","display_name":"Min Xu","orcid":"https://orcid.org/0000-0001-5737-2217"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Xu","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5737-2217","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101453769"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":2.1998,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.8681429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"26","issue":"6","first_page":"7624","last_page":"7639"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9642000198364258,"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":0.9642000198364258,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9513000249862671,"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":0.8104720115661621},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5988335013389587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5081071853637695},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4660673439502716},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4350040555000305},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4322744905948639},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4205210506916046},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.4160388112068176},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3410169184207916},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1597970724105835},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.05617833137512207}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8104720115661621},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5988335013389587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5081071853637695},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4660673439502716},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4350040555000305},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4322744905948639},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4205210506916046},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.4160388112068176},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3410169184207916},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1597970724105835},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.05617833137512207},{"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.2025.3559916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3559916","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":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5699999928474426}],"awards":[{"id":"https://openalex.org/G6038425983","display_name":null,"funder_award_id":"CSTB2024NSCQ-MSX0711","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G688862353","display_name":null,"funder_award_id":"52472413","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7500776246","display_name":null,"funder_award_id":"52172400","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/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1603438570","https://openalex.org/W1965455100","https://openalex.org/W2063001734","https://openalex.org/W2145339207","https://openalex.org/W2155358670","https://openalex.org/W2298052098","https://openalex.org/W2903709398","https://openalex.org/W2934598813","https://openalex.org/W2944790496","https://openalex.org/W2963099939","https://openalex.org/W2963411833","https://openalex.org/W2972852318","https://openalex.org/W2981426338","https://openalex.org/W3006022447","https://openalex.org/W3006292884","https://openalex.org/W3117323062","https://openalex.org/W3130453376","https://openalex.org/W3170434108","https://openalex.org/W3197138020","https://openalex.org/W3199157630","https://openalex.org/W3210607693","https://openalex.org/W3215110309","https://openalex.org/W4205488875","https://openalex.org/W4210405825","https://openalex.org/W4223509507","https://openalex.org/W4224220201","https://openalex.org/W4224283396","https://openalex.org/W4226257065","https://openalex.org/W4283719738","https://openalex.org/W4286253093","https://openalex.org/W4295813067","https://openalex.org/W4312222142","https://openalex.org/W4312948068","https://openalex.org/W4313487564","https://openalex.org/W4313563281","https://openalex.org/W4380839016","https://openalex.org/W4385477673","https://openalex.org/W4386519252","https://openalex.org/W4388347775","https://openalex.org/W4390480740","https://openalex.org/W6631190155","https://openalex.org/W6748839928"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W3084456289","https://openalex.org/W2024136090","https://openalex.org/W4391331176","https://openalex.org/W2031695474","https://openalex.org/W2586732548","https://openalex.org/W2000675896"],"abstract_inverted_index":{"Eco-driving":[0],"control":[1],"for":[2,230],"connected":[3],"and":[4,15,29,87,89,112,194,220,232],"automated":[5],"vehicles":[6],"(CAVs)":[7],"aims":[8],"to":[9,20,38,46,92,202],"co-optimize":[10],"energy":[11,192],"efficiency,":[12],"ride":[13,195],"comfort,":[14],"travel":[16],"time":[17],"while":[18,197],"adhering":[19],"safety":[21],"regulations.":[22],"Model-based":[23],"eco-driving":[24],"strategies":[25],"have":[26],"proven":[27],"robust":[28],"effective":[30],"in":[31,68,77,95,99,172],"simplified":[32],"traffic":[33,102,175],"scenarios.":[34,103,235],"However,":[35],"their":[36,47],"application":[37],"complex":[39,100,231],"tasks":[40],"incurs":[41],"high":[42],"computational":[43],"costs":[44],"due":[45],"reliance":[48],"on":[49],"precise":[50],"nonlinear":[51],"models":[52],"that":[53,187],"accurately":[54],"reflect":[55],"real-world":[56,234],"physical":[57],"systems.":[58],"Model":[59],"free":[60],"deep":[61,126],"reinforcement":[62],"learning":[63,138],"(DRL)":[64],"methods":[65],"exhibit":[66],"potential":[67],"addressing":[69],"challenges":[70],"presented":[71],"by":[72,154],"high-dimensional":[73],"state/action":[74],"spaces":[75],"encountered":[76],"real-time":[78],"CAV":[79],"control.":[80],"Nevertheless,":[81],"they":[82],"require":[83],"extensive":[84],"training":[85],"data":[86],"time,":[88],"are":[90],"susceptible":[91],"getting":[93],"stuck":[94],"suboptimal":[96],"solutions,":[97],"especially":[98],"urban":[101],"To":[104],"leverage":[105],"the":[106,140,146,164,179,203,210],"advantages":[107],"of":[108,163,181],"both":[109],"model-based":[110],"controllers":[111],"DRL":[113],"algorithms,":[114],"this":[115],"study":[116],"develops":[117],"a":[118,155,173],"novel":[119],"model":[120,156],"based":[121],"controller":[122],"online":[123,221],"assisted-twin":[124],"delayed":[125],"deterministic":[127],"policy":[128],"gradient":[129],"algorithm":[130,135],"(MCOA-TD3)":[131],"algorithm.":[132],"The":[133,161,184],"proposed":[134,165,189,215],"integrates":[136],"imitation":[137],"into":[139],"Vanilla":[141,204,211],"TD3":[142,205,212],"agent.":[143],"During":[144],"training,":[145],"MCOA-TD3":[147],"agent":[148],"can":[149],"learn":[150],"from":[151],"demonstrations":[152],"generated":[153],"predictive":[157],"control-based":[158],"expert":[159],"controller.":[160],"performance":[162],"strategy":[166,190,216],"is":[167],"evaluated":[168],"through":[169],"simulations":[170],"conducted":[171],"dynamic":[174,233],"simulation":[176],"scenario":[177],"replicating":[178],"testfield":[180],"Hamburg,":[182],"Germany.":[183],"results":[185],"show":[186],"our":[188,214],"improves":[191],"efficiency":[193],"comfort":[196],"maintaining":[198],"comparable":[199],"driving":[200],"times":[201],"strategy.":[206],"Notably,":[207],"compared":[208],"with":[209],"strategy,":[213],"demonstrates":[217],"superior":[218],"adaptability":[219],"fine-tuning":[222],"ability.":[223],"These":[224],"improvements":[225],"make":[226],"it":[227],"more":[228],"suitable":[229]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}