{"id":"https://openalex.org/W4391020502","doi":"https://doi.org/10.1109/cdc49753.2023.10383216","title":"Multi-Agent Deep Reinforcement Learning for Large-Scale Platoon Coordination with Partial Information at Hubs","display_name":"Multi-Agent Deep Reinforcement Learning for Large-Scale Platoon Coordination with Partial Information at Hubs","publication_year":2023,"publication_date":"2023-12-13","ids":{"openalex":"https://openalex.org/W4391020502","doi":"https://doi.org/10.1109/cdc49753.2023.10383216"},"language":"en","primary_location":{"id":"doi:10.1109/cdc49753.2023.10383216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc49753.2023.10383216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 62nd IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-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/A5073977176","display_name":"Dixiao Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dixiao Wei","raw_affiliation_strings":["Tongji University,Department of Control Science and Engineering,Shanghai,China,201804","Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University,Department of Control Science and Engineering,Shanghai,China,201804","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089663996","display_name":"Peng Yi","orcid":"https://orcid.org/0000-0002-2494-1505"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Yi","raw_affiliation_strings":["Tongji University,Department of Control Science and Engineering,Shanghai,China,201804","Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University,Department of Control Science and Engineering,Shanghai,China,201804","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102966230","display_name":"Jinlong Lei","orcid":"https://orcid.org/0000-0003-1581-8932"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlong Lei","raw_affiliation_strings":["Tongji University,Department of Control Science and Engineering,Shanghai,China,201804","Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University,Department of Control Science and Engineering,Shanghai,China,201804","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073977176"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.5862,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68686508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"6242","last_page":"6248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9987999796867371,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9907000064849854,"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":0.9020917415618896},{"id":"https://openalex.org/keywords/truck","display_name":"Truck","score":0.8040754795074463},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7610981464385986},{"id":"https://openalex.org/keywords/platoon","display_name":"Platoon","score":0.7097170948982239},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.6965512633323669},{"id":"https://openalex.org/keywords/partially-observable-markov-decision-process","display_name":"Partially observable Markov decision process","score":0.5799831748008728},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4877929985523224},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47549307346343994},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4663766026496887},{"id":"https://openalex.org/keywords/information-sharing","display_name":"Information sharing","score":0.45930585265159607},{"id":"https://openalex.org/keywords/information-exchange","display_name":"Information exchange","score":0.444446325302124},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4264981746673584},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.3868003487586975},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.368630975484848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3342691659927368},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.2387862205505371},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16216275095939636},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.15707936882972717},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15658992528915405}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.9020917415618896},{"id":"https://openalex.org/C52121051","wikidata":"https://www.wikidata.org/wiki/Q43193","display_name":"Truck","level":2,"score":0.8040754795074463},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7610981464385986},{"id":"https://openalex.org/C2777735972","wikidata":"https://www.wikidata.org/wiki/Q1061967","display_name":"Platoon","level":3,"score":0.7097170948982239},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.6965512633323669},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.5799831748008728},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4877929985523224},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47549307346343994},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4663766026496887},{"id":"https://openalex.org/C2776854237","wikidata":"https://www.wikidata.org/wiki/Q6031064","display_name":"Information sharing","level":2,"score":0.45930585265159607},{"id":"https://openalex.org/C189693848","wikidata":"https://www.wikidata.org/wiki/Q6031064","display_name":"Information exchange","level":2,"score":0.444446325302124},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4264981746673584},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.3868003487586975},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.368630975484848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3342691659927368},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.2387862205505371},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16216275095939636},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.15707936882972717},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15658992528915405},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc49753.2023.10383216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc49753.2023.10383216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 62nd IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1978641677","https://openalex.org/W2121092017","https://openalex.org/W2140810797","https://openalex.org/W2307055197","https://openalex.org/W2461335435","https://openalex.org/W2564430455","https://openalex.org/W2584849839","https://openalex.org/W2593159012","https://openalex.org/W2747213132","https://openalex.org/W2752782242","https://openalex.org/W2758832166","https://openalex.org/W2904294725","https://openalex.org/W2947718668","https://openalex.org/W2963762747","https://openalex.org/W3011712248","https://openalex.org/W3164863300","https://openalex.org/W3203181717","https://openalex.org/W4210419635","https://openalex.org/W4285142929","https://openalex.org/W4286893914","https://openalex.org/W4315472017","https://openalex.org/W6677939520","https://openalex.org/W6680241297","https://openalex.org/W6749745028","https://openalex.org/W6766805167"],"related_works":["https://openalex.org/W2096013579","https://openalex.org/W52153049","https://openalex.org/W1760611253","https://openalex.org/W1589140671","https://openalex.org/W1515117609","https://openalex.org/W4323315247","https://openalex.org/W2294884454","https://openalex.org/W3169161914","https://openalex.org/W4321379664","https://openalex.org/W2211790881"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"the":[3,20,24,38,59,93,97,106,109],"hub-based":[4],"platoon":[5],"co-ordination":[6],"problem":[7,39],"in":[8,92,102],"a":[9,29,41,71],"large-scale":[10],"transportation":[11,25,34,94],"network,":[12],"to":[13,57,76,104],"promote":[14],"cooperation":[15],"among":[16],"trucks":[17,75,91],"and":[18,36,65,68],"optimize":[19],"overall":[21],"efficiency":[22],"of":[23,96,108],"network.":[26],"We":[27,48],"design":[28],"distributed":[30,66],"communication":[31],"model":[32,73],"for":[33,74],"networks":[35],"transform":[37],"into":[40],"Dec-POMDP":[42],"(Decentralized-Partial":[43],"Observable":[44],"Markov":[45],"Decision":[46],"Process).":[47],"then":[49],"propose":[50],"an":[51],"A-QMIX":[52],"deep":[53],"reinforcement":[54],"learning":[55],"algorithm":[56],"solve":[58],"problem,":[60],"which":[61],"adopts":[62],"centralized":[63],"training":[64],"execution":[67],"hence":[69],"provides":[70],"reliable":[72],"make":[77],"quick":[78],"decisions":[79],"using":[80],"only":[81],"partial":[82],"information.":[83],"Finally,":[84],"we":[85],"carry":[86],"out":[87],"experiments":[88],"with":[89],"100":[90],"network":[95],"Yangtze":[98],"River":[99],"Delta":[100],"region":[101],"China":[103],"demonstrate":[105],"effectiveness":[107],"proposed":[110],"algorithm.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}