{"id":"https://openalex.org/W2971275317","doi":"https://doi.org/10.1109/ivs.2019.8814160","title":"Ego-Vehicle Speed Prediction Using Fuzzy Markov Chain With Speed Constraints","display_name":"Ego-Vehicle Speed Prediction Using Fuzzy Markov Chain With Speed Constraints","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2971275317","doi":"https://doi.org/10.1109/ivs.2019.8814160","mag":"2971275317"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2019.8814160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2019.8814160","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Vehicles Symposium (IV)","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/A5101060546","display_name":"Jaewook Shin","orcid":null},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaewook Shin","raw_affiliation_strings":["Department of Automotive Engineering, Hanyang University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automotive Engineering, Hanyang University, Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088757396","display_name":"Sun-Bin Kim","orcid":"https://orcid.org/0000-0002-6872-2152"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sunbin Kim","raw_affiliation_strings":["Department of Automotive Engineering, Hanyang University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automotive Engineering, Hanyang University, Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054452311","display_name":"Myoungho Sunwoo","orcid":"https://orcid.org/0000-0002-3505-6675"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myoungho Sunwoo","raw_affiliation_strings":["Department of Automotive Engineering, Hanyang University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automotive Engineering, Hanyang University, Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088520190","display_name":"Manbae Han","orcid":"https://orcid.org/0000-0002-8140-4175"},"institutions":[{"id":"https://openalex.org/I52010207","display_name":"Keimyung University","ror":"https://ror.org/00tjv0s33","country_code":"KR","type":"education","lineage":["https://openalex.org/I52010207"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Manbae Han","raw_affiliation_strings":["Department of Mechanical and Automotive Engineering, Keimyung University, Daegu, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Automotive Engineering, Keimyung University, Daegu, Korea","institution_ids":["https://openalex.org/I52010207"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6378,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7281272,"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":"2106","last_page":"2112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9997000098228455,"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":0.9997000098228455,"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/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.9952999949455261,"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":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.782075047492981},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6830683946609497},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.657293975353241},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6368322968482971},{"id":"https://openalex.org/keywords/powertrain","display_name":"Powertrain","score":0.45358848571777344},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.45149537920951843},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.44032520055770874},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4142220616340637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25334256887435913},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19703659415245056},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1831035614013672}],"concepts":[{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.782075047492981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6830683946609497},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.657293975353241},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6368322968482971},{"id":"https://openalex.org/C76047896","wikidata":"https://www.wikidata.org/wiki/Q1786258","display_name":"Powertrain","level":3,"score":0.45358848571777344},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45149537920951843},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.44032520055770874},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4142220616340637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25334256887435913},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19703659415245056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1831035614013672},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C144171764","wikidata":"https://www.wikidata.org/wiki/Q48103","display_name":"Torque","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2019.8814160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2019.8814160","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1956406133","https://openalex.org/W1966163588","https://openalex.org/W1982179375","https://openalex.org/W1989955377","https://openalex.org/W2003820370","https://openalex.org/W2020244582","https://openalex.org/W2029799049","https://openalex.org/W2040297119","https://openalex.org/W2047111123","https://openalex.org/W2095320849","https://openalex.org/W2104069963","https://openalex.org/W2109764844","https://openalex.org/W2128117598","https://openalex.org/W2135137731","https://openalex.org/W2161758672","https://openalex.org/W2205836559","https://openalex.org/W2561145466","https://openalex.org/W2569843416","https://openalex.org/W2570817651","https://openalex.org/W2580087858","https://openalex.org/W2588680078","https://openalex.org/W2625091425","https://openalex.org/W2741746516","https://openalex.org/W2753228597","https://openalex.org/W2900489907","https://openalex.org/W2902792107","https://openalex.org/W2964234718","https://openalex.org/W6683501427","https://openalex.org/W6732046175","https://openalex.org/W6756204573"],"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/W2379651310","https://openalex.org/W2113019827","https://openalex.org/W1541249122","https://openalex.org/W2413828414","https://openalex.org/W2367222340"],"abstract_inverted_index":{"Prediction":[0],"of":[1,18,24,38,62,85,141,149,189],"ego-vehicle":[2],"speed":[3,121,132,153],"for":[4,106],"powertrain":[5],"control":[6],"has":[7],"drawn":[8],"attention":[9],"to":[10,13,76,78,178],"a":[11,43,70,93,99,107,111,115,120,134,186],"means":[12],"improve":[14,35],"the":[15,22,36,60,63,83,86,139,163,168,174],"energy":[16],"efficiency":[17],"vehicles.":[19],"In":[20,40],"particular,":[21],"understanding":[23],"driving":[25,109],"situations":[26],"using":[27],"Intelligent":[28],"Transport":[29],"System":[30],"(ITS)":[31],"information":[32,57],"can":[33],"help":[34],"prediction":[37,45,64,95,187],"accuracy.":[39],"this":[41,90],"study,":[42],"velocity":[44,94],"algorithm":[46,65,96,143,175],"based":[47,97],"on":[48,98,110],"Markov":[49,101,117,126,170],"chain":[50,118,127],"is":[51,58,74,157,176],"proposed.":[52],"However,":[53],"when":[54,145],"various":[55,147],"ITS":[56],"added,":[59],"size":[61,144],"rapidly":[66],"increases,":[67],"which":[68,156],"increases":[69],"computational":[71,88,180],"time":[72,181],"and":[73,119,137],"difficult":[75],"implement":[77],"real-time":[79],"systems.":[80],"To":[81],"solve":[82],"problem":[84,140],"increased":[87],"power,":[89],"paper":[91],"proposes":[92],"fuzzy":[100,116,125,169],"chain.":[102,171],"This":[103],"algorithm,":[104],"designed":[105],"vehicle":[108],"specified":[112],"route,":[113],"combines":[114],"constraint":[122,135,154,164],"model.":[123],"The":[124,152],"stochastically":[128],"predicts":[129],"an":[130],"ego-vehicle's":[131],"within":[133],"area":[136,165],"solves":[138],"increasing":[142],"adding":[146],"pieces":[148],"input":[150],"data.":[151],"model,":[155],"estimated":[158],"by":[159,182],"empirical":[160],"matrices,":[161],"estimates":[162],"used":[166],"in":[167],"Through":[172],"simulation,":[173],"evaluated":[177],"reduce":[179],"85.5%":[183],"whilst":[184],"maintaining":[185],"accuracy":[188],"99.1%.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
