{"id":"https://openalex.org/W3013696755","doi":"https://doi.org/10.1109/jiot.2020.2983332","title":"Vehicular Networking-Enabled Vehicle State Prediction via Two-Level Quantized Adaptive Kalman Filtering","display_name":"Vehicular Networking-Enabled Vehicle State Prediction via Two-Level Quantized Adaptive Kalman Filtering","publication_year":2020,"publication_date":"2020-03-25","ids":{"openalex":"https://openalex.org/W3013696755","doi":"https://doi.org/10.1109/jiot.2020.2983332","mag":"3013696755"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2020.2983332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2020.2983332","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5076938763","display_name":"Liping Qian","orcid":"https://orcid.org/0000-0001-6210-2617"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Ping Qian","raw_affiliation_strings":["College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101058060","display_name":"Anqi Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anqi Feng","raw_affiliation_strings":["College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101471295","display_name":"Ningning Yu","orcid":"https://orcid.org/0000-0003-1375-2116"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ningning Yu","raw_affiliation_strings":["College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063181504","display_name":"Wenchao Xu","orcid":"https://orcid.org/0000-0003-0983-387X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wenchao Xu","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082844557","display_name":"Yuan Wu","orcid":"https://orcid.org/0000-0001-6661-9461"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yuan Wu","raw_affiliation_strings":["Department of Computer and Information Science, State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5076938763"],"corresponding_institution_ids":["https://openalex.org/I55712492","https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":1.4384,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.81470541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"7","issue":"8","first_page":"7181","last_page":"7193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9994000196456909,"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/T10524","display_name":"Traffic control and management","score":0.9984999895095825,"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/computer-science","display_name":"Computer science","score":0.7481381893157959},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.7135557532310486},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6597503423690796},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.6587432026863098},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.641965925693512},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5421690344810486},{"id":"https://openalex.org/keywords/vehicular-ad-hoc-network","display_name":"Vehicular ad hoc network","score":0.5057001113891602},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.4800166189670563},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.46172183752059937},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.4375779926776886},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4195812940597534},{"id":"https://openalex.org/keywords/vehicle-tracking-system","display_name":"Vehicle tracking system","score":0.4140608012676239},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.2446480691432953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.193389892578125},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17328807711601257},{"id":"https://openalex.org/keywords/wireless-ad-hoc-network","display_name":"Wireless ad hoc network","score":0.14572927355766296},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1278763711452484},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.11589998006820679},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.08782264590263367}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7481381893157959},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.7135557532310486},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6597503423690796},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6587432026863098},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.641965925693512},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5421690344810486},{"id":"https://openalex.org/C192448918","wikidata":"https://www.wikidata.org/wiki/Q682677","display_name":"Vehicular ad hoc network","level":4,"score":0.5057001113891602},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.4800166189670563},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.46172183752059937},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.4375779926776886},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4195812940597534},{"id":"https://openalex.org/C84119951","wikidata":"https://www.wikidata.org/wiki/Q3498530","display_name":"Vehicle tracking system","level":3,"score":0.4140608012676239},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.2446480691432953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.193389892578125},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17328807711601257},{"id":"https://openalex.org/C94523657","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Wireless ad hoc network","level":3,"score":0.14572927355766296},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1278763711452484},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.11589998006820679},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.08782264590263367},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jiot.2020.2983332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2020.2983332","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-149683","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-149683","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G2043673203","display_name":null,"funder_award_id":"LR17F010002","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G3849265064","display_name":null,"funder_award_id":"LR16F010003","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G3946900143","display_name":null,"funder_award_id":"2019D11","funder_id":"https://openalex.org/F4320324856","funder_display_name":"Southeast University"}],"funders":[{"id":"https://openalex.org/F4320324856","display_name":"Southeast University","ror":"https://ror.org/04ct4d772"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1499828067","https://openalex.org/W2015368813","https://openalex.org/W2048294994","https://openalex.org/W2061106795","https://openalex.org/W2089910489","https://openalex.org/W2100902371","https://openalex.org/W2110747855","https://openalex.org/W2137912234","https://openalex.org/W2156064084","https://openalex.org/W2209750911","https://openalex.org/W2244651199","https://openalex.org/W2281079400","https://openalex.org/W2343781317","https://openalex.org/W2403621278","https://openalex.org/W2522693205","https://openalex.org/W2612649232","https://openalex.org/W2703451786","https://openalex.org/W2736111490","https://openalex.org/W2741746516","https://openalex.org/W2747591687","https://openalex.org/W2760889278","https://openalex.org/W2773033597","https://openalex.org/W2774231091","https://openalex.org/W2778996748","https://openalex.org/W2792854553","https://openalex.org/W2793890337","https://openalex.org/W2796104866","https://openalex.org/W2796582580","https://openalex.org/W2803184913","https://openalex.org/W2804117600","https://openalex.org/W2891776345","https://openalex.org/W2891796867","https://openalex.org/W2897268940","https://openalex.org/W2897638129","https://openalex.org/W2900489907","https://openalex.org/W2901276250","https://openalex.org/W2901778378","https://openalex.org/W2950870576","https://openalex.org/W2963103668","https://openalex.org/W2963309363","https://openalex.org/W2973372523","https://openalex.org/W3099769178","https://openalex.org/W3105115779"],"related_works":["https://openalex.org/W2171218219","https://openalex.org/W1972271943","https://openalex.org/W2774344263","https://openalex.org/W2070120713","https://openalex.org/W2802293874","https://openalex.org/W4312661457","https://openalex.org/W2884574614","https://openalex.org/W2001943318","https://openalex.org/W2762327599","https://openalex.org/W2108735200"],"abstract_inverted_index":{"The":[0],"accurate":[1],"prediction":[2,262,271],"of":[3,155,236,250],"vehicle":[4,36,76,84,98,117,138,147,163,177,293],"state":[5,37,77,118,193,294],"based":[6,65],"on":[7,66],"the":[8,12,25,35,40,67,75,79,97,105,109,116,120,127,132,141,145,156,162,168,175,180,184,188,191,198,201,208,226,234,237,248,251,269,292],"data":[9,99,103],"acquired":[10],"by":[11,100,273],"vehicular":[13,92,296],"networking":[14,93],"system":[15,94],"plays":[16],"an":[17,152],"important":[18],"role":[19],"in":[20,24,52,171,225,295],"improving":[21],"traffic":[22,102,223],"safety":[23,224],"transportation":[26],"section.":[27],"However,":[28],"it":[29],"is":[30,149,286],"difficult":[31],"to":[32,39,73,95,136,160,179,194,232],"accurately":[33],"predict":[34,74,115,137,161],"due":[38],"highly":[41],"dynamic":[42],"road":[43,202],"environment":[44],"and":[45,86,108,165,183,278],"various":[46],"drivers'":[47],"behaviors.":[48],"To":[49],"this":[50,53,217],"end,":[51],"article,":[54],"we":[55,89,114,130,173,219,246],"propose":[56,90],"a":[57,91,287],"two-level":[58,253],"quantized":[59,254],"adaptive":[60,157,255],"Kalman":[61],"filter":[62],"(KF)":[63],"algorithm":[64,266,285],"autoregressive":[68,133,238],"moving":[69,80,181,206],"average":[70],"(MA)":[71],"model":[72,135,159,240],"(including":[78],"direction,":[81],"driving":[82,185],"lane,":[83],"speed,":[85],"acceleration).":[87],"First,":[88],"acquire":[96],"exchanging":[101],"between":[104],"onboard":[106],"unit":[107,111],"roadside":[110],"(RSU).":[112],"Then,":[113,144,245],"at":[119,126,140,167,207],"edge":[121],"cloud":[122],"server":[123],"(ECS)":[124],"equipped":[125],"RSU.":[128],"Specifically,":[129],"utilize":[131],"MA":[134,239],"acceleration":[139,148],"next":[142,169],"moment.":[143],"predicted":[146,176,192],"used":[150,241],"as":[151],"input":[153],"variable":[154],"KF":[158,256],"location":[164,178],"speed":[166,270],"moment,":[170],"which":[172,281],"quantify":[174],"direction":[182],"lane.":[186],"Finally,":[187],"ECS":[189],"broadcasts":[190],"other":[195],"RSUs.":[196],"Through":[197],"communication":[199],"with":[200,259],"unit,":[203],"all":[204],"vehicles":[205,212],"intersection":[209],"can":[210,220,267],"share":[211],"states":[213],"each":[214],"other.":[215],"In":[216],"doing,":[218],"efficiently":[221],"improve":[222,268],"intersection.":[227],"We":[228],"provide":[229],"numerical":[230],"simulations":[231],"validate":[233],"effectiveness":[235],"for":[242,290],"predicting":[243,291],"acceleration.":[244],"evaluate":[247],"efficiency":[249],"proposed":[252,265],"algorithm.":[257],"Compared":[258],"five":[260],"conventional":[261],"algorithms,":[263],"our":[264,284],"accuracy":[272],"90.62%,":[274],"89.81%,":[275],"88.91%,":[276],"82.76%,":[277],"70.77%,":[279],"respectively,":[280],"implies":[282],"that":[283],"promising":[288],"scheme":[289],"networks.":[297]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
