{"id":"https://openalex.org/W4388936637","doi":"https://doi.org/10.1109/tits.2023.3330941","title":"Distributed Model Predictive Control for Heterogeneous Platoon With Leading Human-Driven Vehicle Acceleration Prediction","display_name":"Distributed Model Predictive Control for Heterogeneous Platoon With Leading Human-Driven Vehicle Acceleration Prediction","publication_year":2023,"publication_date":"2023-11-23","ids":{"openalex":"https://openalex.org/W4388936637","doi":"https://doi.org/10.1109/tits.2023.3330941"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2023.3330941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3330941","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/A5083137497","display_name":"Junru Yang","orcid":"https://orcid.org/0000-0002-4420-7236"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junru Yang","raw_affiliation_strings":["Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4420-7236","affiliations":[{"raw_affiliation_string":"Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041423958","display_name":"Duanfeng Chu","orcid":"https://orcid.org/0000-0001-5225-9143"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duanfeng Chu","raw_affiliation_strings":["Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-5225-9143","affiliations":[{"raw_affiliation_string":"Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091126463","display_name":"Jianhua Yin","orcid":"https://orcid.org/0000-0002-4534-9439"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Yin","raw_affiliation_strings":["Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4534-9439","affiliations":[{"raw_affiliation_string":"Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056557062","display_name":"Dawei Pi","orcid":"https://orcid.org/0000-0001-9135-2623"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Pi","raw_affiliation_strings":["School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9135-2623","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328624","display_name":"Jinxiang Wang","orcid":"https://orcid.org/0000-0003-4039-8001"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxiang Wang","raw_affiliation_strings":["School of Mechanical Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4039-8001","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090195099","display_name":"Liping L\u00fc","orcid":"https://orcid.org/0000-0003-4516-6154"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liping Lu","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.907,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.95922248,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"25","issue":"5","first_page":"3944","last_page":"3959"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9839000105857849,"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/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9613000154495239,"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/platoon","display_name":"Platoon","score":0.9635383486747742},{"id":"https://openalex.org/keywords/headway","display_name":"Headway","score":0.8056365251541138},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.7794685959815979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6206319332122803},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.545016348361969},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.518073558807373},{"id":"https://openalex.org/keywords/tracking-error","display_name":"Tracking error","score":0.505457878112793},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.4684849977493286},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35238003730773926},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.33621782064437866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2786710858345032},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2488192915916443},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1644505262374878},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06936633586883545}],"concepts":[{"id":"https://openalex.org/C2777735972","wikidata":"https://www.wikidata.org/wiki/Q1061967","display_name":"Platoon","level":3,"score":0.9635383486747742},{"id":"https://openalex.org/C2779240695","wikidata":"https://www.wikidata.org/wiki/Q4383682","display_name":"Headway","level":2,"score":0.8056365251541138},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.7794685959815979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6206319332122803},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.545016348361969},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.518073558807373},{"id":"https://openalex.org/C183356978","wikidata":"https://www.wikidata.org/wiki/Q1779213","display_name":"Tracking error","level":3,"score":0.505457878112793},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.4684849977493286},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35238003730773926},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.33621782064437866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2786710858345032},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2488192915916443},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1644505262374878},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06936633586883545},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2023.3330941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3330941","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":"Affordable and clean energy","score":0.550000011920929,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G2223899006","display_name":null,"funder_award_id":"52172393","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1983360738","https://openalex.org/W1995478605","https://openalex.org/W2064675550","https://openalex.org/W2084952317","https://openalex.org/W2122029992","https://openalex.org/W2159857480","https://openalex.org/W2461335435","https://openalex.org/W2619551236","https://openalex.org/W2756960232","https://openalex.org/W2797767624","https://openalex.org/W2884226817","https://openalex.org/W2885305333","https://openalex.org/W2886622679","https://openalex.org/W2887895283","https://openalex.org/W2908022947","https://openalex.org/W2941560784","https://openalex.org/W2949248079","https://openalex.org/W2955211317","https://openalex.org/W2956951036","https://openalex.org/W2964784128","https://openalex.org/W2970013643","https://openalex.org/W2970351442","https://openalex.org/W2975767248","https://openalex.org/W2982126947","https://openalex.org/W2996287921","https://openalex.org/W3005014946","https://openalex.org/W3011712248","https://openalex.org/W3012829185","https://openalex.org/W3016826426","https://openalex.org/W3042395962","https://openalex.org/W3081613680","https://openalex.org/W3085640145","https://openalex.org/W3107668387","https://openalex.org/W3112956992","https://openalex.org/W3113321744","https://openalex.org/W3118951119","https://openalex.org/W3120426593","https://openalex.org/W3128196514","https://openalex.org/W3137066815","https://openalex.org/W3138362761","https://openalex.org/W3139059546","https://openalex.org/W3170303765","https://openalex.org/W3171419621","https://openalex.org/W3186319893","https://openalex.org/W3188110915","https://openalex.org/W3189182581","https://openalex.org/W3210590548","https://openalex.org/W3210990939","https://openalex.org/W3213202774","https://openalex.org/W3215225435","https://openalex.org/W4200450103","https://openalex.org/W4205550208","https://openalex.org/W4205603833","https://openalex.org/W4210242977","https://openalex.org/W4210636230","https://openalex.org/W4211093963","https://openalex.org/W4225576514","https://openalex.org/W4226389324","https://openalex.org/W4281691703","https://openalex.org/W4285116313","https://openalex.org/W4285137311","https://openalex.org/W4285149346","https://openalex.org/W4285242928","https://openalex.org/W4285263682","https://openalex.org/W4289313561","https://openalex.org/W4294068709","https://openalex.org/W4311415699","https://openalex.org/W4313888547","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2358591905","https://openalex.org/W3119189828","https://openalex.org/W2336294085","https://openalex.org/W2141578845","https://openalex.org/W3153877495","https://openalex.org/W2769954383","https://openalex.org/W2384697752","https://openalex.org/W2388039377","https://openalex.org/W2359045669","https://openalex.org/W237070024"],"abstract_inverted_index":{"Heterogeneous":[0],"vehicle":[1,7,53,127],"platoons,":[2],"consisting":[3],"of":[4,74,94,113,124],"a":[5,20,37,52,59,110,160,168],"human-driven":[6],"(HDV)":[8],"as":[9,17],"the":[10,70,75,81,87,92,116,125,130,145,150,154,183],"leader":[11],"and":[12,50,120,140,167,186],"connected":[13],"automated":[14],"vehicles":[15],"(CAVs)":[16],"followers,":[18],"present":[19],"promising":[21],"solution":[22],"to":[23,144],"address":[24],"various":[25],"challenges":[26],"arising":[27],"from":[28],"fully":[29],"autonomous":[30],"driving.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35,48,97],"propose":[36],"novel":[38],"LSTM-based":[39,132,151],"distributed":[40],"model":[41,56,85],"predictive":[42],"control":[43,84],"(DMPC)":[44],"platooning":[45],"method.":[46,148],"Initially,":[47],"develop":[49],"train":[51],"acceleration":[54,72],"prediction":[55],"based":[57],"on":[58],"long":[60],"short-term":[61],"memory":[62],"(LSTM)":[63],"network":[64],"using":[65,101,129],"real-world":[66,102],"driving":[67,103],"data.":[68,104],"Subsequently,":[69],"predicted":[71],"sequence":[73],"leading":[76,184],"HDV":[77,185],"is":[78],"integrated":[79],"into":[80],"DMPC-based":[82],"platoon":[83,128],"for":[86],"following":[88],"CAVs.":[89],"To":[90],"validate":[91],"effectiveness":[93],"our":[95],"method,":[96,157],"conduct":[98],"simulation":[99],"experiments":[100],"The":[105,175],"results":[106],"demonstrate":[107],"that,":[108],"with":[109],"time":[111],"headway":[112],"1":[114],"s,":[115],"maximum":[117,121,164,172],"speed":[118,165],"error":[119,123,166],"spacing":[122,173],"heterogeneous":[126],"proposed":[131,176],"DMPC":[133,147,152,156],"are":[134],"reduced":[135],"by":[136,182],"at":[137],"least":[138],"5.8%":[139],"5.9%,":[141],"respectively,":[142],"compared":[143],"traditional":[146],"Furthermore,":[149],"outperforms":[153],"Transformer-based":[155],"resulting":[158],"in":[159,163,171],"1.0%":[161],"reduction":[162,170],"0.7%":[169],"error.":[174],"method":[177],"effectively":[178],"dampens":[179],"oscillation":[180],"caused":[181],"enhances":[187],"tracking":[188],"accuracy.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":10}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}