{"id":"https://openalex.org/W2972981002","doi":"https://doi.org/10.23919/acc.2019.8814400","title":"Short-term Speed Forecasting Using Vehicle Wireless Communications","display_name":"Short-term Speed Forecasting Using Vehicle Wireless Communications","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2972981002","doi":"https://doi.org/10.23919/acc.2019.8814400","mag":"2972981002"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2019.8814400","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2019.8814400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 American Control Conference (ACC)","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/A5006560849","display_name":"Eunjeong Hyeon","orcid":"https://orcid.org/0000-0002-1088-2487"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eunjeong Hyeon","raw_affiliation_strings":["Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014768118","display_name":"Youngki Kim","orcid":"https://orcid.org/0000-0003-0061-7433"},"institutions":[{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Youngki Kim","raw_affiliation_strings":["Department of Mechanical Engineering, University of Michigan-Dearborn, Dearborn, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Michigan-Dearborn, Dearborn, MI, USA","institution_ids":["https://openalex.org/I4210130704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109444843","display_name":"Niket Prakash","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Niket Prakash","raw_affiliation_strings":["Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089318617","display_name":"Anna G. Stefanopoulou","orcid":"https://orcid.org/0000-0003-1695-9657"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anna G. Stefanopoulou","raw_affiliation_strings":["Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.296,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.88399781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"736","last_page":"741"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9993000030517578,"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/T10524","display_name":"Traffic control and management","score":0.9991999864578247,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9950000047683716,"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/computer-science","display_name":"Computer science","score":0.6459404230117798},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6154104471206665},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.60928875207901},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.544187605381012},{"id":"https://openalex.org/keywords/powertrain","display_name":"Powertrain","score":0.5112075805664062},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.49751952290534973},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.45635583996772766},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.4342227876186371},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.415910929441452},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4147571921348572},{"id":"https://openalex.org/keywords/torque","display_name":"Torque","score":0.30790990591049194},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.2762317657470703},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.236407071352005},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22969207167625427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15830478072166443},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14581835269927979},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13435932993888855},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08434227108955383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6459404230117798},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6154104471206665},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.60928875207901},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.544187605381012},{"id":"https://openalex.org/C76047896","wikidata":"https://www.wikidata.org/wiki/Q1786258","display_name":"Powertrain","level":3,"score":0.5112075805664062},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.49751952290534973},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.45635583996772766},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.4342227876186371},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.415910929441452},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4147571921348572},{"id":"https://openalex.org/C144171764","wikidata":"https://www.wikidata.org/wiki/Q48103","display_name":"Torque","level":2,"score":0.30790990591049194},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.2762317657470703},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.236407071352005},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22969207167625427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15830478072166443},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14581835269927979},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13435932993888855},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08434227108955383},{"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc.2019.8814400","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2019.8814400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 American Control Conference (ACC)","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":15,"referenced_works":["https://openalex.org/W1965455100","https://openalex.org/W1978917517","https://openalex.org/W2003820370","https://openalex.org/W2014414177","https://openalex.org/W2029515813","https://openalex.org/W2047111123","https://openalex.org/W2077679034","https://openalex.org/W2084008601","https://openalex.org/W2148881573","https://openalex.org/W2515170416","https://openalex.org/W2556405044","https://openalex.org/W2585308580","https://openalex.org/W2589021761","https://openalex.org/W2735751244","https://openalex.org/W2760075219"],"related_works":["https://openalex.org/W4388980375","https://openalex.org/W2142639873","https://openalex.org/W2360794504","https://openalex.org/W2356035581","https://openalex.org/W3097253201","https://openalex.org/W2069654098","https://openalex.org/W4236614235","https://openalex.org/W2007109128","https://openalex.org/W128654086","https://openalex.org/W2586052256"],"abstract_inverted_index":{"Forecasting":[0],"the":[1,46,50,56,82,97,100,120],"speed":[2,27,72],"trajectories":[3,28,48],"of":[4,36,81,99],"driving":[5,93],"vehicles":[6],"is":[7,66,85,103,108],"essential":[8],"for":[9,23,115],"vehicle/powertrain":[10],"predictive":[11],"optimal":[12],"control.":[13],"This":[14],"paper":[15],"proposes":[16],"a":[17,34,70,75,116],"simple":[18],"and":[19,40],"effective":[20],"forecasting":[21],"method":[22,102],"generating":[24],"short-term":[25],"future":[26,71],"using":[29],"vehicle-to-vehicle":[30],"(V2V)":[31],"information.":[32],"Specifically,":[33],"series":[35],"lead":[37],"vehicles'":[38],"speeds":[39],"locations":[41],"are":[42],"considered":[43],"to":[44,68],"be":[45],"potential":[47],"that":[49,114],"following":[51],"car":[52],"would":[53],"drive":[54,118],"in":[55,87,124],"near":[57],"future.":[58],"Polynomial":[59],"regression":[60],"based":[61],"on":[62],"weighted":[63],"least-squares":[64],"estimation":[65],"used":[67],"determine":[69],"trajectory":[73],"over":[74,91],"short":[76],"prediction":[77],"horizon.":[78],"The":[79],"efficacy":[80],"proposed":[83,101,121],"approach":[84],"evaluated":[86,105],"single-lane":[88],"traffic":[89],"simulations":[90],"various":[92],"scenarios.":[94],"In":[95],"addition,":[96],"performance":[98],"also":[104],"when":[106],"V2V":[107,132],"not":[109],"available.":[110],"Simulation":[111],"results":[112,123],"show":[113],"highway":[117],"cycle,":[119],"predictor":[122],"root-mean-square":[125],"errors":[126],"less":[127],"than":[128],"1":[129],"mph":[130],"with":[131],"data.":[133]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}