{"id":"https://openalex.org/W2568878817","doi":"https://doi.org/10.1109/cdc.2016.7798508","title":"Gear management for fuel-efficient heavy-duty vehicle platooning","display_name":"Gear management for fuel-efficient heavy-duty vehicle platooning","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2568878817","doi":"https://doi.org/10.1109/cdc.2016.7798508","mag":"2568878817"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2016.7798508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2016.7798508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 55th 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/A5016529155","display_name":"Valerio Turri","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Valerio Turri","raw_affiliation_strings":["ACCESS Linnaeus Centre and the Department of Automatic Control, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"ACCESS Linnaeus Centre and the Department of Automatic Control, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083507299","display_name":"Bart Besselink","orcid":"https://orcid.org/0000-0001-5194-3306"},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Bart Besselink","raw_affiliation_strings":["Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen, Groningen, Netherlands"],"affiliations":[{"raw_affiliation_string":"Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen, Groningen, Netherlands","institution_ids":["https://openalex.org/I169381384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045975901","display_name":"Karl Henrik Johansson","orcid":"https://orcid.org/0000-0001-9940-5929"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Karl H. Johansson","raw_affiliation_strings":["ACCESS Linnaeus Centre and the Department of Automatic Control, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"ACCESS Linnaeus Centre and the Department of Automatic Control, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016529155"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":0.5356,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.71393635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T12095","display_name":"Vehicle emissions and performance","score":0.9991000294685364,"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":0.9983999729156494,"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":0.949421763420105},{"id":"https://openalex.org/keywords/fuel-efficiency","display_name":"Fuel efficiency","score":0.7963207960128784},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.7497906684875488},{"id":"https://openalex.org/keywords/heavy-duty","display_name":"Heavy duty","score":0.5381278991699219},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5026211738586426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4679390788078308},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.43079569935798645},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3902493417263031},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3501201272010803}],"concepts":[{"id":"https://openalex.org/C2777735972","wikidata":"https://www.wikidata.org/wiki/Q1061967","display_name":"Platoon","level":3,"score":0.949421763420105},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.7963207960128784},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.7497906684875488},{"id":"https://openalex.org/C2993573757","wikidata":"https://www.wikidata.org/wiki/Q3784054","display_name":"Heavy duty","level":2,"score":0.5381278991699219},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5026211738586426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4679390788078308},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.43079569935798645},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3902493417263031},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3501201272010803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cdc.2016.7798508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2016.7798508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 55th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:rug:oai:pure.rug.nl:publications/d1bee85f-5f52-40ad-931b-f456bbf5faf5","is_oa":false,"landing_page_url":"https://research.rug.nl/en/publications/d1bee85f-5f52-40ad-931b-f456bbf5faf5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"STARTPAGE=1687;ENDPAGE=1694;TITLE=55th IEEE Conference on Decision and Control, CDC 2016","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7699999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320322327","display_name":"Knut och Alice Wallenbergs Stiftelse","ror":"https://ror.org/004hzzk67"},{"id":"https://openalex.org/F4320322509","display_name":"Kungliga Tekniska H\u00f6gskolan","ror":"https://ror.org/026vcq606"},{"id":"https://openalex.org/F4320322581","display_name":"Vetenskapsr\u00e5det","ror":"https://ror.org/03zttf063"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W135675982","https://openalex.org/W267505160","https://openalex.org/W581869730","https://openalex.org/W822974666","https://openalex.org/W1118937102","https://openalex.org/W1576506168","https://openalex.org/W1828716639","https://openalex.org/W1920086472","https://openalex.org/W1941866442","https://openalex.org/W1974046185","https://openalex.org/W2060129668","https://openalex.org/W2094311908","https://openalex.org/W2117240747","https://openalex.org/W2135875165","https://openalex.org/W2157955366","https://openalex.org/W2168225829","https://openalex.org/W2341171179","https://openalex.org/W6605429126","https://openalex.org/W6623081933","https://openalex.org/W6627211209","https://openalex.org/W6634418130"],"related_works":["https://openalex.org/W4286572054","https://openalex.org/W2587159204","https://openalex.org/W2883090849","https://openalex.org/W2163875247","https://openalex.org/W4388855948","https://openalex.org/W4389544977","https://openalex.org/W4385236313","https://openalex.org/W3006156193","https://openalex.org/W2774872268","https://openalex.org/W3109067418"],"abstract_inverted_index":{"Vehicle":[0],"platooning":[1],"has":[2],"great":[3],"potential":[4],"for":[5,147],"the":[6,27,46,56,70,73,83,86,98,110,120,124,128,140,148,162,176],"reduction":[7],"of":[8,15,29,51,72,85,100,123,143,153,161,170,178],"greenhouse":[9],"gas":[10],"emissions":[11],"and":[12,48,76,79,103,150],"fuel":[13,49],"consumption":[14,50],"heavy-duty":[16],"vehicles.":[17,87],"However,":[18],"previous":[19],"works":[20],"on":[21,45,133],"fuel-efficient":[22,149],"platoon":[23],"control":[24,94],"largely":[25],"ignore":[26],"effect":[28],"gear":[30,39,63,101,144],"changes,":[31],"even":[32],"though":[33],"experimental":[34],"studies":[35],"have":[36,41],"shown":[37],"that":[38,96,112,138],"shifts":[40,102,145],"a":[42,62,93,106,134,154],"large":[43,67],"impact":[44],"behavior":[47,122],"vehicle":[52],"platoons.":[53],"In":[54,88,126],"particular,":[55],"interruption":[57],"in":[58,69,82],"traction":[59],"force":[60],"during":[61],"shift":[64],"can":[65,80],"cause":[66],"deviations":[68],"tracking":[71,152],"reference":[74,156],"speed":[75,157],"inter-vehicle":[77],"distance":[78],"result":[81],"braking":[84],"this":[89],"paper,":[90],"we":[91,104],"discuss":[92],"architecture":[95],"includes":[97],"management":[99],"propose":[105],"method":[107,130],"to":[108],"select":[109],"gears":[111],"takes":[113],"fuel-efficiency":[114],"into":[115],"account,":[116],"but":[117],"also":[118],"targets":[119],"good":[121],"platoon.":[125],"detail,":[127],"proposed":[129,163],"is":[131,165],"based":[132],"dynamic":[135],"programming":[136],"formulation":[137],"computes":[139],"optimal":[141],"sequence":[142],"necessary":[146],"smooth":[151],"given":[155],"profile.":[158],"The":[159],"performance":[160,177],"approach":[164],"finally":[166],"analyzed":[167],"by":[168,172],"means":[169],"simulations":[171],"comparing":[173],"it":[174],"with":[175],"alternative":[179],"solutions.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
