{"id":"https://openalex.org/W4385309204","doi":"https://doi.org/10.3390/s23156708","title":"On-Board Unit (OBU)-Supported Longitudinal Driving Behavior Monitoring Using Machine Learning Approaches","display_name":"On-Board Unit (OBU)-Supported Longitudinal Driving Behavior Monitoring Using Machine Learning Approaches","publication_year":2023,"publication_date":"2023-07-27","ids":{"openalex":"https://openalex.org/W4385309204","doi":"https://doi.org/10.3390/s23156708","pmid":"https://pubmed.ncbi.nlm.nih.gov/37571492"},"language":"en","primary_location":{"id":"doi:10.3390/s23156708","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23156708","pdf_url":"https://www.mdpi.com/1424-8220/23/15/6708/pdf?version=1690427212","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/15/6708/pdf?version=1690427212","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107895923","display_name":"Leyu Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leyu Wei","raw_affiliation_strings":["CETHIK Group Co., Ltd., Hangzhou 314501, China","School of Electronic and Information, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CETHIK Group Co., Ltd., Hangzhou 314501, China","institution_ids":[]},{"raw_affiliation_string":"School of Electronic and Information, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104148784","display_name":"Lichan Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lichan Liang","raw_affiliation_strings":["College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen 518118, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen 518118, China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089969477","display_name":"Lei Tian","orcid":"https://orcid.org/0000-0002-4856-5161"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tian Lei","raw_affiliation_strings":["College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen 518118, China"],"raw_orcid":"https://orcid.org/0000-0002-4856-5161","affiliations":[{"raw_affiliation_string":"College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen 518118, China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032235313","display_name":"Xiaohong Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohong Yin","raw_affiliation_strings":["College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen 518118, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen 518118, China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115592564","display_name":"Yanyan Wang","orcid":"https://orcid.org/0009-0002-6159-604X"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Wang","raw_affiliation_strings":["College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen 518118, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen 518118, China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068219856","display_name":"Mingyu Gao","orcid":"https://orcid.org/0000-0002-5930-9526"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyu Gao","raw_affiliation_strings":["School of Electronic and Information, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013505263","display_name":"Yunpeng Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunpeng Liu","raw_affiliation_strings":["Zhejiang HIKAILINK Technology Co., Ltd., Hangzhou 311100, China"],"raw_orcid":"https://orcid.org/0000-0002-1816-2716","affiliations":[{"raw_affiliation_string":"Zhejiang HIKAILINK Technology Co., Ltd., Hangzhou 311100, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5089969477"],"corresponding_institution_ids":["https://openalex.org/I4210152380"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.0747,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.75969017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"23","issue":"15","first_page":"6708","last_page":"6708"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7854489088058472},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7375038862228394},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6075847148895264},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5861353874206543},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5741098523139954},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5425219535827637},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4304896295070648},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3731487989425659},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.33943748474121094}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7854489088058472},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7375038862228394},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6075847148895264},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5861353874206543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5741098523139954},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5425219535827637},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4304896295070648},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3731487989425659},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.33943748474121094}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23156708","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23156708","pdf_url":"https://www.mdpi.com/1424-8220/23/15/6708/pdf?version=1690427212","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37571492","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37571492","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10422608","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10422608","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10422608/pdf/sensors-23-06708.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:64e67915a7dd4153ad6b33a92bb86b7f","is_oa":true,"landing_page_url":"https://doaj.org/article/64e67915a7dd4153ad6b33a92bb86b7f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 15, p 6708 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/15/6708/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23156708","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 15; Pages: 6708","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23156708","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23156708","pdf_url":"https://www.mdpi.com/1424-8220/23/15/6708/pdf?version=1690427212","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G3313509999","display_name":null,"funder_award_id":"2022KCXTD027","funder_id":"https://openalex.org/F4320326279","funder_display_name":"Department of Education of Guangdong Province"},{"id":"https://openalex.org/G3804423865","display_name":null,"funder_award_id":"2021GCZX002","funder_id":"https://openalex.org/F4320326279","funder_display_name":"Department of Education of Guangdong Province"},{"id":"https://openalex.org/G4165964027","display_name":null,"funder_award_id":"2020A1515111001","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G4909488938","display_name":null,"funder_award_id":"2020A1515111001","funder_id":"https://openalex.org/F4320326279","funder_display_name":"Department of Education of Guangdong Province"},{"id":"https://openalex.org/G6061339626","display_name":null,"funder_award_id":"GDRC202130","funder_id":"https://openalex.org/F4320326279","funder_display_name":"Department of Education of Guangdong Province"},{"id":"https://openalex.org/G682786513","display_name":null,"funder_award_id":"HKZLHT2022070322","funder_id":"https://openalex.org/F4320326279","funder_display_name":"Department of Education of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320319297","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27"},{"id":"https://openalex.org/F4320326279","display_name":"Department of Education of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385309204.pdf"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1492494166","https://openalex.org/W1947279355","https://openalex.org/W1966498256","https://openalex.org/W2006303452","https://openalex.org/W2012849708","https://openalex.org/W2013480952","https://openalex.org/W2015253580","https://openalex.org/W2015358807","https://openalex.org/W2018690964","https://openalex.org/W2021410675","https://openalex.org/W2030833325","https://openalex.org/W2062843776","https://openalex.org/W2081471684","https://openalex.org/W2086461263","https://openalex.org/W2094983957","https://openalex.org/W2117716621","https://openalex.org/W2135153595","https://openalex.org/W2138997468","https://openalex.org/W2165609373","https://openalex.org/W2318053135","https://openalex.org/W2321341321","https://openalex.org/W2533654249","https://openalex.org/W2597533437","https://openalex.org/W2605751614","https://openalex.org/W2606087044","https://openalex.org/W2623684345","https://openalex.org/W2769044343","https://openalex.org/W2839695880","https://openalex.org/W2883499538","https://openalex.org/W2952293382","https://openalex.org/W2963195425","https://openalex.org/W2991531480","https://openalex.org/W3001866431","https://openalex.org/W3012502004","https://openalex.org/W3015058102","https://openalex.org/W3044901219","https://openalex.org/W3087776899","https://openalex.org/W3088033175","https://openalex.org/W3091649779","https://openalex.org/W3202375294","https://openalex.org/W4200006434","https://openalex.org/W4200538794","https://openalex.org/W4210893859","https://openalex.org/W4281725692","https://openalex.org/W4285179475","https://openalex.org/W4289785399","https://openalex.org/W4294390748","https://openalex.org/W4295832403","https://openalex.org/W4309022363","https://openalex.org/W4313244824","https://openalex.org/W4323341693","https://openalex.org/W4366085645","https://openalex.org/W4380318404","https://openalex.org/W6700735978"],"related_works":["https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W4367336074","https://openalex.org/W2955796858","https://openalex.org/W3154045278","https://openalex.org/W4379620016","https://openalex.org/W4393666307","https://openalex.org/W3210764983","https://openalex.org/W4393443811","https://openalex.org/W4367335949"],"abstract_inverted_index":{"Driving":[0],"behavior":[1,22,49,134],"recognition":[2],"can":[3],"provide":[4],"an":[5,59],"important":[6,176],"reference":[7],"for":[8,178],"the":[9,44,56,83,118,126,131,142,161,167,179,186],"intelligent":[10,182],"vehicle":[11,79],"industry":[12],"and":[13,30,69,88,117,128,147,172,185],"probe":[14,136],"vehicle-based":[15],"traffic":[16,170,173],"estimation.":[17],"The":[18,40,138,158],"identification":[19],"of":[20,46,58,85,130,135,160,169,181,188],"driving":[21,48,133,156,189],"using":[23,50],"mobile":[24,78],"sensing":[25],"techniques":[26],"such":[27],"as":[28],"smartphone-":[29],"vehicle-mounted":[31],"terminals":[32],"has":[33],"gained":[34],"significant":[35],"attention":[36],"in":[37,152],"recent":[38],"years.":[39],"present":[41,162],"work":[42,163],"proposed":[43],"monitoring":[45,129],"longitudinal":[47,132,155],"a":[51,77],"machine":[52,92,98],"learning":[53,93],"approach":[54],"with":[55],"support":[57,96,177],"on-board":[60],"unit":[61],"(OBU).":[62],"Specifically,":[63],"based":[64],"on":[65],"velocity,":[66],"three-axis":[67,70],"acceleration":[68],"angular":[71],"velocity":[72],"data":[73,86],"were":[74,122],"collected":[75],"by":[76],"terminal":[80],"OBU;":[81],"through":[82],"process":[84],"preprocessing":[87],"feature":[89],"extraction,":[90],"seven":[91],"algorithms,":[94],"including":[95],"vector":[97],"(SVM),":[99],"random":[100],"forest":[101],"(RF),":[102],"k-nearest":[103],"neighbor":[104],"algorithm":[105],"(KNN),":[106],"logistic":[107],"regression":[108],"(LR),":[109],"BP":[110],"neural":[111],"network":[112],"(BPNN),":[113],"decision":[114],"tree":[115],"(DT),":[116],"Naive":[119],"Bayes":[120],"(NB),":[121],"applied":[123],"to":[124,166],"implement":[125],"classification":[127],"vehicles.":[137],"results":[139],"show":[140],"that":[141],"three":[143],"classifiers":[144],"SVM,":[145],"RF":[146],"DT":[148],"achieved":[149],"good":[150],"performances":[151],"identifying":[153],"different":[154],"behaviors.":[157],"outcome":[159],"could":[164],"contribute":[165],"fields":[168],"management":[171],"safety,":[174],"providing":[175],"realization":[180],"transport":[183],"systems":[184],"improvement":[187],"safety.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}