{"id":"https://openalex.org/W2885216630","doi":"https://doi.org/10.23919/acc.2018.8431520","title":"Fuel-efficient Model Predictive Control for Heavy Duty Vehicle Platooning using Neural Networks","display_name":"Fuel-efficient Model Predictive Control for Heavy Duty Vehicle Platooning using Neural Networks","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2885216630","doi":"https://doi.org/10.23919/acc.2018.8431520","mag":"2885216630"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2018.8431520","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2018.8431520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Annual American Control Conference (ACC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-152456","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044187918","display_name":"Gustav Ling","orcid":null},"institutions":[{"id":"https://openalex.org/I1294350288","display_name":"Scania (Sweden)","ror":"https://ror.org/03g4sde39","country_code":"SE","type":"company","lineage":["https://openalex.org/I1294350288"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Gustav Ling","raw_affiliation_strings":["Scania CV, S\u00f6dert\u00e4lje, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Scania CV, S\u00f6dert\u00e4lje, Sweden","institution_ids":["https://openalex.org/I1294350288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028371602","display_name":"Klas Lindsten","orcid":null},"institutions":[{"id":"https://openalex.org/I1294350288","display_name":"Scania (Sweden)","ror":"https://ror.org/03g4sde39","country_code":"SE","type":"company","lineage":["https://openalex.org/I1294350288"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Klas Lindsten","raw_affiliation_strings":["Scania CV, S\u00f6dert\u00e4lje, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Scania CV, S\u00f6dert\u00e4lje, Sweden","institution_ids":["https://openalex.org/I1294350288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077008561","display_name":"Oskar Ljungqvist","orcid":"https://orcid.org/0000-0002-1795-5992"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Oskar Ljungqvist","raw_affiliation_strings":["Division of Automatic Control, Link\u00f6ping University, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Automatic Control, Link\u00f6ping University, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010140840","display_name":"Johan L\u00f6fberg","orcid":"https://orcid.org/0000-0001-6901-5938"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Johan Lofberg","raw_affiliation_strings":["Division of Automatic Control, Link\u00f6ping University, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Automatic Control, Link\u00f6ping University, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033132608","display_name":"Christoffer Norin","orcid":null},"institutions":[{"id":"https://openalex.org/I1294350288","display_name":"Scania (Sweden)","ror":"https://ror.org/03g4sde39","country_code":"SE","type":"company","lineage":["https://openalex.org/I1294350288"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Christoffer Norin","raw_affiliation_strings":["Scania CV, S\u00f6dert\u00e4lje, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Scania CV, S\u00f6dert\u00e4lje, Sweden","institution_ids":["https://openalex.org/I1294350288"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003713232","display_name":"Christian A. Larsson","orcid":"https://orcid.org/0000-0003-1008-2401"},"institutions":[{"id":"https://openalex.org/I1294350288","display_name":"Scania (Sweden)","ror":"https://ror.org/03g4sde39","country_code":"SE","type":"company","lineage":["https://openalex.org/I1294350288"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Christian A. Larsson","raw_affiliation_strings":["Scania CV, S\u00f6dert\u00e4lje, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Scania CV, S\u00f6dert\u00e4lje, Sweden","institution_ids":["https://openalex.org/I1294350288"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7303,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.71797374,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3994","last_page":"4001"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9997000098228455,"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":0.9997000098228455,"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/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9988999962806702,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9987999796867371,"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":0.9581834077835083},{"id":"https://openalex.org/keywords/fuel-efficiency","display_name":"Fuel efficiency","score":0.7247375249862671},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.7122100591659546},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.5638726353645325},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.5399994254112244},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5149574875831604},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5073181986808777},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46973857283592224},{"id":"https://openalex.org/keywords/aerodynamics","display_name":"Aerodynamics","score":0.4503917396068573},{"id":"https://openalex.org/keywords/road-traffic-control","display_name":"Road traffic control","score":0.44321417808532715},{"id":"https://openalex.org/keywords/aerodynamic-drag","display_name":"Aerodynamic drag","score":0.4199833869934082},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4104502499103546},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3759286403656006},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.33530938625335693},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.33277419209480286},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.1131691038608551},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09153622388839722}],"concepts":[{"id":"https://openalex.org/C2777735972","wikidata":"https://www.wikidata.org/wiki/Q1061967","display_name":"Platoon","level":3,"score":0.9581834077835083},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.7247375249862671},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.7122100591659546},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.5638726353645325},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.5399994254112244},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5149574875831604},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5073181986808777},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46973857283592224},{"id":"https://openalex.org/C13393347","wikidata":"https://www.wikidata.org/wiki/Q8424","display_name":"Aerodynamics","level":2,"score":0.4503917396068573},{"id":"https://openalex.org/C2775905063","wikidata":"https://www.wikidata.org/wiki/Q6132995","display_name":"Road traffic control","level":3,"score":0.44321417808532715},{"id":"https://openalex.org/C145244895","wikidata":"https://www.wikidata.org/wiki/Q206621","display_name":"Aerodynamic drag","level":3,"score":0.4199833869934082},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4104502499103546},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3759286403656006},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.33530938625335693},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.33277419209480286},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.1131691038608551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09153622388839722},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/acc.2018.8431520","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2018.8431520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Annual American Control Conference (ACC)","raw_type":"proceedings-article"},{"id":"pmh:oai:DiVA.org:liu-152456","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-152456","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:DiVA.org:liu-152456","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-152456","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W309865537","https://openalex.org/W605325373","https://openalex.org/W625419581","https://openalex.org/W1876138953","https://openalex.org/W1974046185","https://openalex.org/W2073129852","https://openalex.org/W2094311908","https://openalex.org/W2111051539","https://openalex.org/W2117240747","https://openalex.org/W2122410182","https://openalex.org/W2134902411","https://openalex.org/W2137912234","https://openalex.org/W2162096452","https://openalex.org/W2168225829","https://openalex.org/W2171800554","https://openalex.org/W2266938232","https://openalex.org/W2480378144","https://openalex.org/W2536620281","https://openalex.org/W2554221145","https://openalex.org/W2734609476","https://openalex.org/W2748024671","https://openalex.org/W2911546748"],"related_works":["https://openalex.org/W2587159204","https://openalex.org/W2883090849","https://openalex.org/W2163875247","https://openalex.org/W4388855948","https://openalex.org/W4385236313","https://openalex.org/W3006156193","https://openalex.org/W3109067418","https://openalex.org/W2143852632","https://openalex.org/W2054359429","https://openalex.org/W4389544977"],"abstract_inverted_index":{"The":[0,113,134],"demand":[1],"for":[2,62,121],"fuel-efficient":[3],"transport":[4],"solutions":[5],"are":[6],"steadily":[7],"increasing":[8,17],"with":[9,35,148],"the":[10,42,66,83,85,102,122,131,137],"goal":[11],"of":[12,65,73,101,118,136],"reducing":[13],"environmental":[14],"impact":[15],"and":[16,106,116,128,145],"efficiency.":[18],"Heavy-Duty":[19],"Vehicle":[20],"(HDV)":[21],"platooning":[22],"is":[23,45,80,90,107,126,140,146],"a":[24,33,55,70,98,149],"promising":[25],"concept":[26],"where":[27],"multiple":[28],"HDVs":[29,75],"drive":[30],"together":[31],"in":[32,48,69,142],"convoy":[34],"small":[36],"intervehicular":[37],"spacing.":[38],"By":[39],"doing":[40],"this,":[41],"aerodynamic":[43],"drag":[44],"reduced":[46],"which":[47,96],"turn":[49],"lowers":[50],"fuel":[51,120],"consumption.":[52],"We":[53],"propose":[54],"novel":[56],"Model":[57],"Predictive":[58],"Control":[59],"(MPC)":[60],"framework":[61,139],"longitudinal":[63],"control":[64,152],"follower":[67,124],"vehicle":[68,125],"platoon":[71],"consisting":[72],"two":[74],"when":[76],"no":[77],"vehicle-to-vehicle":[78],"communication":[79],"available.":[81],"In":[82],"framework,":[84],"preceding":[86],"vehicle's":[87],"velocity":[88],"profile":[89],"predicted":[91],"using":[92,110],"artificial":[93],"neural":[94],"networks":[95],"uses":[97],"topographic":[99],"map":[100],"road":[103],"as":[104],"input":[105],"trained":[108],"offline":[109],"synthetic":[111],"data.":[112],"gear":[114],"shifting":[115],"mass":[117],"consumed":[119],"controlled":[123],"modeled":[127],"used":[129],"within":[130],"MPC":[132],"controller.":[133],"efficiency":[135],"proposed":[138],"verified":[141],"simulation":[143],"examples":[144],"benchmarked":[147],"currently":[150],"available":[151],"solution.":[153]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}