{"id":"https://openalex.org/W4392445473","doi":"https://doi.org/10.1145/3616901.3616947","title":"Twin Delayed Deterministic Policy Gradient Based Cooperative Platoon Longitudinal Control Strategy","display_name":"Twin Delayed Deterministic Policy Gradient Based Cooperative Platoon Longitudinal Control Strategy","publication_year":2023,"publication_date":"2023-04-14","ids":{"openalex":"https://openalex.org/W4392445473","doi":"https://doi.org/10.1145/3616901.3616947"},"language":"en","primary_location":{"id":"doi:10.1145/3616901.3616947","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616901.3616947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Frontiers of Artificial Intelligence and Machine Learning","raw_type":"proceedings-article"},"type":"conference-paper","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/A5009837945","display_name":"Fa Tao Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fa Tao Zhou","raw_affiliation_strings":["Key Laboratory of Intelligent Air-Ground Cooperative Control for Universities in Chongqing, China and \rCollege of Automation, Chongqing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0004-5429-032X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Air-Ground Cooperative Control for Universities in Chongqing, China and \rCollege of Automation, Chongqing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109688422","display_name":"Yong Fu Li","orcid":null},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Fu Li","raw_affiliation_strings":["Key Laboratory of Intelligent Air-Ground Cooperative Control for Universities in Chongqing, China and \rCollege of Automation, Chongqing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-7701-8351","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Air-Ground Cooperative Control for Universities in Chongqing, China and \rCollege of Automation, Chongqing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113133644","display_name":"Long Wang Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Wang Huang","raw_affiliation_strings":["Key Laboratory of Intelligent Air-Ground Cooperative Control for Universities in Chongqing, China and \rCollege of Automation, Chongqing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-9065-0247","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Air-Ground Cooperative Control for Universities in Chongqing, China and \rCollege of Automation, Chongqing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039208082","display_name":"Xin Huang","orcid":"https://orcid.org/0009-0000-4169-6460"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Huang","raw_affiliation_strings":["Key Laboratory of Intelligent Air-Ground Cooperative Control for Universities in Chongqing, China and \rCollege of Automation, Chongqing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0000-4169-6460","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Air-Ground Cooperative Control for Universities in Chongqing, China and \rCollege of Automation, Chongqing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"205","last_page":"209"},"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":0.9987999796867371,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9987000226974487,"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/platoon","display_name":"Platoon","score":0.9877500534057617},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6193532347679138},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.60981285572052},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.5980215072631836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5840094089508057},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.5129918456077576},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4498337209224701},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.4426169693470001},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4215781092643738},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4121303856372833},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4040152430534363},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3458794951438904},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2649858891963959},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16304942965507507},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13809770345687866},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13713136315345764},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.09052067995071411}],"concepts":[{"id":"https://openalex.org/C2777735972","wikidata":"https://www.wikidata.org/wiki/Q1061967","display_name":"Platoon","level":3,"score":0.9877500534057617},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6193532347679138},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.60981285572052},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.5980215072631836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5840094089508057},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.5129918456077576},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4498337209224701},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.4426169693470001},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4215781092643738},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4121303856372833},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4040152430534363},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3458794951438904},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2649858891963959},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16304942965507507},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13809770345687866},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13713136315345764},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.09052067995071411},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3616901.3616947","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616901.3616947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Frontiers of Artificial Intelligence and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1991638565","https://openalex.org/W2276329747","https://openalex.org/W2924471456","https://openalex.org/W3008350097","https://openalex.org/W3016931720","https://openalex.org/W3088848920","https://openalex.org/W3115687132","https://openalex.org/W3165263791","https://openalex.org/W4308068582","https://openalex.org/W4311415477"],"related_works":["https://openalex.org/W2163875247","https://openalex.org/W4388855948","https://openalex.org/W4389544977","https://openalex.org/W4385236313","https://openalex.org/W3006156193","https://openalex.org/W3109067418","https://openalex.org/W4388236136","https://openalex.org/W2807018115","https://openalex.org/W4200250224","https://openalex.org/W2126560268"],"abstract_inverted_index":{"Abstract.":[0],"To":[1],"achieve":[2,99],"continuous":[3],"and":[4,31,67],"accurate":[5],"vehicle":[6,32,53],"platoon":[7,47,54,101],"control,":[8],"a":[9,71],"longitudinal":[10],"control":[11,92,102],"strategy":[12,93],"based":[13,75],"on":[14,76],"Twin":[15],"delayed":[16],"deep":[17,89],"deterministic":[18],"policy":[19],"gradient":[20],"(TD3)":[21],"is":[22,35,48,78],"proposed.":[23],"First,":[24],"the":[25,42,46,52,61,84,87,100],"adopted":[26],"spacing":[27],"policy,":[28],"communication":[29],"topology,":[30],"dynamics":[33],"model":[34],"considered":[36],"to":[37,50],"finish":[38],"environment":[39,73],"construction.":[40],"Second,":[41],"state":[43,63],"information":[44],"in":[45],"combined":[49],"create":[51],"Markov":[55],"decision":[56],"process,":[57],"as":[58,60],"well":[59,98],"algorithm":[62],"space,":[64,66],"action":[65],"reward":[68],"function.":[69],"Then,":[70],"co-simulation":[72],"constructed":[74],"PreScan":[77],"completed":[79],"for":[80],"simulation":[81],"verification.":[82],"Finally,":[83],"results":[85],"of":[86],"proposed":[88],"reinforcement":[90],"learning-based":[91],"show":[94],"that":[95],"it":[96],"can":[97],"objective.":[103]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
