{"id":"https://openalex.org/W4408017102","doi":"https://doi.org/10.1109/tits.2025.3543810","title":"A Preference-Based Multi-Agent Federated Reinforcement Learning Algorithm Framework for Trustworthy Interactive Urban Autonomous Driving","display_name":"A Preference-Based Multi-Agent Federated Reinforcement Learning Algorithm Framework for Trustworthy Interactive Urban Autonomous Driving","publication_year":2025,"publication_date":"2025-02-27","ids":{"openalex":"https://openalex.org/W4408017102","doi":"https://doi.org/10.1109/tits.2025.3543810"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3543810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3543810","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/A5051137308","display_name":"Sikai Lu","orcid":"https://orcid.org/0000-0002-5990-8633"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sikai Lu","raw_affiliation_strings":["Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057276700","display_name":"Yingfeng Cai","orcid":"https://orcid.org/0000-0002-0633-9887"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingfeng Cai","raw_affiliation_strings":["Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ze Liu","orcid":"https://orcid.org/0000-0002-0801-236X"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze Liu","raw_affiliation_strings":["Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047958286","display_name":"Yubo Lian","orcid":"https://orcid.org/0009-0002-6195-9488"},"institutions":[{"id":"https://openalex.org/I4210133343","display_name":"BYD (China)","ror":"https://ror.org/03kkp9n92","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210133343"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubo Lian","raw_affiliation_strings":["BYD Auto Industry Company Ltd., Shenzhen, China","BYD Auto Industry Company Ltd, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"BYD Auto Industry Company Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I4210133343"]},{"raw_affiliation_string":"BYD Auto Industry Company Ltd, Shenzhen, China","institution_ids":["https://openalex.org/I4210133343"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100630554","display_name":"Long Chen","orcid":"https://orcid.org/0000-0002-2079-3867"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Chen","raw_affiliation_strings":["Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100771674","display_name":"Hai Wang","orcid":"https://orcid.org/0000-0002-9136-8091"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Wang","raw_affiliation_strings":["School of Automotive and Traffic Engineering and the Engineering Technology Research Institute, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Automotive and Traffic Engineering and the Engineering Technology Research Institute, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5051137308"],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":null,"apc_paid":null,"fwci":2.5996,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88363581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"26","issue":"7","first_page":"10131","last_page":"10145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9610999822616577,"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"}},"topics":[{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9610999822616577,"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/T10524","display_name":"Traffic control and management","score":0.9606999754905701,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9175000190734863,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8665685653686523},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.7587485909461975},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6340165734291077},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5932592749595642},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5063101053237915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4628749191761017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3655967116355896},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.17647415399551392},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.09318068623542786}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8665685653686523},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.7587485909461975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6340165734291077},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5932592749595642},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5063101053237915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4628749191761017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3655967116355896},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.17647415399551392},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.09318068623542786},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3543810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3543810","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":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G1888400298","display_name":null,"funder_award_id":"2022YFB2503302","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2073865365","display_name":null,"funder_award_id":"52272418","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2191662638","display_name":null,"funder_award_id":"U22A20100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6835269242","display_name":null,"funder_award_id":"2022YFB2503302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7909332369","display_name":null,"funder_award_id":"52225212","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1982682305","https://openalex.org/W2145339207","https://openalex.org/W2559767995","https://openalex.org/W2763110165","https://openalex.org/W2962790223","https://openalex.org/W2981731882","https://openalex.org/W3005294098","https://openalex.org/W3009593063","https://openalex.org/W3034445502","https://openalex.org/W3034552332","https://openalex.org/W3037429136","https://openalex.org/W3128395826","https://openalex.org/W3135204376","https://openalex.org/W3161873870","https://openalex.org/W3175871729","https://openalex.org/W3193987867","https://openalex.org/W3205483739","https://openalex.org/W4214759451","https://openalex.org/W4225937744","https://openalex.org/W4226284306","https://openalex.org/W4226512186","https://openalex.org/W4312814526","https://openalex.org/W4379374853","https://openalex.org/W4389667165","https://openalex.org/W4389989114","https://openalex.org/W4390874053","https://openalex.org/W4392207915","https://openalex.org/W4400726871","https://openalex.org/W4400770716","https://openalex.org/W6745347688","https://openalex.org/W6772033386","https://openalex.org/W6783802040","https://openalex.org/W6796168157","https://openalex.org/W6810494806","https://openalex.org/W6810932996","https://openalex.org/W6846149835","https://openalex.org/W6860276258","https://openalex.org/W6860631484","https://openalex.org/W7046505727"],"related_works":["https://openalex.org/W2076536433","https://openalex.org/W4306904969","https://openalex.org/W90316445","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"],"abstract_inverted_index":{"In":[0],"autonomous":[1],"driving":[2,58],"(AD)":[3],"tasks,":[4],"data-driven":[5],"deep":[6],"reinforcement":[7,84],"learning":[8,85],"(DRL)":[9],"outperforms":[10],"rule-based":[11,93],"methods":[12],"in":[13,56,97,124],"terms":[14],"of":[15,121,134],"continuous":[16],"decision-making":[17,46],"and":[18,33,116,163,186],"adaptability.":[19],"However,":[20],"traditional":[21,122],"DRL":[22,54,123],"relies":[23],"on":[24,53,195],"hand-crafted":[25],"reward":[26,34],"functions,":[27],"which":[28,48],"introduce":[29],"objective":[30,114],"alignment":[31,115],"challenges":[32,120],"loopholes.":[35],"Moreover,":[36],"the":[37,45,82,113,132,139,154,175],"black-box":[38],"structure":[39],"makes":[40],"it":[41,191],"difficult":[42],"to":[43,111,130,156],"explain":[44],"process,":[47],"has":[49],"a":[50,64,92,105,158],"direct":[51],"impact":[52],"performance":[55,100,194],"complex":[57,125],"situations.":[59],"To":[60],"address":[61,131],"these":[62],"shortcomings,":[63],"preference-based":[65],"decomposable":[66],"proximal":[67],"policy":[68],"optimization":[69],"algorithm":[70,87,155],"(PDPPO)":[71],"is":[72],"proposed":[73,176],"for":[74,101],"reliable":[75],"interactive":[76],"urban":[77,126],"AD.":[78,102],"The":[79,170],"framework":[80,179],"deconstructs":[81],"federated":[83],"(FRL)":[86],"from":[88],"various":[89,196],"perspectives":[90],"using":[91,166],"preference":[94],"model,":[95],"resulting":[96],"high-availability":[98],"algorithmic":[99,135,178],"PDPPO":[103,137,177],"employs":[104],"data-rule":[106],"fusion-driven":[107],"hybrid":[108],"vision":[109],"transformer":[110],"overcome":[112],"high-dimensional":[117],"state-space":[118],"representation":[119],"traffic":[127],"environments.":[128],"Furthermore,":[129,190],"issue":[133],"trustworthiness,":[136],"models":[138],"multi-agent":[140,187],"FRL":[141],"co-optimization":[142,188],"process":[143],"as":[144],"an":[145],"interpretable":[146,182],"self-organized":[147],"group":[148],"collaboration":[149],"process.":[150],"This":[151],"approach":[152],"enables":[153],"strike":[157],"balance":[159],"between":[160],"model":[161],"robustness":[162],"sample":[164],"efficiency":[165],"preference-heuristic":[167],"parameter":[168],"aggregation.":[169],"simulation":[171],"results":[172],"demonstrate":[173],"that":[174],"can":[180],"implement":[181],"single-agent":[183],"decision":[184],"control":[185],"processes.":[189],"exhibits":[192],"competitive":[193],"benchmark":[197],"tests.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}