{"id":"https://openalex.org/W2906612854","doi":"https://doi.org/10.1109/cscn.2018.8581850","title":"Predicting Vehicles' Positions Using Roadside Units: A Machine-Learning Approach","display_name":"Predicting Vehicles' Positions Using Roadside Units: A Machine-Learning Approach","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2906612854","doi":"https://doi.org/10.1109/cscn.2018.8581850","mag":"2906612854"},"language":"en","primary_location":{"id":"doi:10.1109/cscn.2018.8581850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscn.2018.8581850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Standards for Communications and Networking (CSCN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5028130371","display_name":"Mamoudou Sangare","orcid":"https://orcid.org/0000-0001-6721-7181"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mamoudou Sangare","raw_affiliation_strings":["Centre de Recherche de Paris, 2 Rue Simone, IFF CS 42112, 75589 Paris Cedex12, INRIA EVA","INRIA EVA, Centre de Recherche de Paris"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre de Recherche de Paris, 2 Rue Simone, IFF CS 42112, 75589 Paris Cedex12, INRIA EVA","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"INRIA EVA, Centre de Recherche de Paris","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084106026","display_name":"Soumya Banerjee","orcid":"https://orcid.org/0000-0002-7649-8429"},"institutions":[{"id":"https://openalex.org/I115715567","display_name":"Birla Institute of Technology, Mesra","ror":"https://ror.org/028vtqb15","country_code":"IN","type":"education","lineage":["https://openalex.org/I115715567"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soumya Banerjee","raw_affiliation_strings":["Birla Institute of Technology, Department of Computer Science and Engeneering, Mesra, India","Department of Computer Science and Engeneering, Birla Institute of Technology, Mesra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology, Department of Computer Science and Engeneering, Mesra, India","institution_ids":["https://openalex.org/I115715567"]},{"raw_affiliation_string":"Department of Computer Science and Engeneering, Birla Institute of Technology, Mesra, India","institution_ids":["https://openalex.org/I115715567"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064401998","display_name":"Paul M\u00fchlethaler","orcid":"https://orcid.org/0000-0001-5367-5093"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Paul Muhlethaler","raw_affiliation_strings":["Centre de Recherche de Paris, 2 Rue Simone, IFF CS 42112, 75589 Paris Cedex12, INRIA EVA","INRIA EVA, Centre de Recherche de Paris"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre de Recherche de Paris, 2 Rue Simone, IFF CS 42112, 75589 Paris Cedex12, INRIA EVA","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"INRIA EVA, Centre de Recherche de Paris","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007882938","display_name":"Samia Bouzefrane","orcid":"https://orcid.org/0000-0002-0979-1289"},"institutions":[{"id":"https://openalex.org/I124158823","display_name":"Conservatoire National des Arts et M\u00e9tiers","ror":"https://ror.org/0175hh227","country_code":"FR","type":"education","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210134562"]},{"id":"https://openalex.org/I4210145724","display_name":"Centre d'\u00e9tudes et de recherche en informatique et communications","ror":"https://ror.org/044j5mm75","country_code":"FR","type":"facility","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210134562","https://openalex.org/I4210145724"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Samia Bouzefrane","raw_affiliation_strings":["CNAM, 292Rue Saint-Martin, CEDRIC Lab, 75003 Paris, France","CNAM, CEDRIC Lab, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNAM, 292Rue Saint-Martin, CEDRIC Lab, 75003 Paris, France","institution_ids":["https://openalex.org/I124158823","https://openalex.org/I4210145724"]},{"raw_affiliation_string":"CNAM, CEDRIC Lab, France","institution_ids":["https://openalex.org/I124158823","https://openalex.org/I4210145724"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9988999962806702,"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":0.9988999962806702,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7950402498245239},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.7082024812698364},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6562216281890869},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6162651181221008},{"id":"https://openalex.org/keywords/wireless-ad-hoc-network","display_name":"Wireless ad hoc network","score":0.6053760051727295},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5999372601509094},{"id":"https://openalex.org/keywords/vehicular-ad-hoc-network","display_name":"Vehicular ad hoc network","score":0.5337216854095459},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5053820610046387},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.45481786131858826},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4449969530105591},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.44027936458587646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43706968426704407},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.43473899364471436},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4345315992832184},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.40946292877197266},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38337773084640503},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.18176943063735962},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18029078841209412}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7950402498245239},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.7082024812698364},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6562216281890869},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6162651181221008},{"id":"https://openalex.org/C94523657","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Wireless ad hoc network","level":3,"score":0.6053760051727295},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5999372601509094},{"id":"https://openalex.org/C192448918","wikidata":"https://www.wikidata.org/wiki/Q682677","display_name":"Vehicular ad hoc network","level":4,"score":0.5337216854095459},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5053820610046387},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.45481786131858826},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4449969530105591},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.44027936458587646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43706968426704407},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.43473899364471436},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4345315992832184},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.40946292877197266},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38337773084640503},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.18176943063735962},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18029078841209412},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscn.2018.8581850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscn.2018.8581850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Standards for Communications and Networking (CSCN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1964357740","https://openalex.org/W2008112871","https://openalex.org/W2153327486","https://openalex.org/W2153635508","https://openalex.org/W2315802775","https://openalex.org/W2582743722","https://openalex.org/W2911964244","https://openalex.org/W4238530616","https://openalex.org/W4248758825"],"related_works":["https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W2004826645","https://openalex.org/W2027636740","https://openalex.org/W2062688728","https://openalex.org/W2061231656","https://openalex.org/W2771454953","https://openalex.org/W3046762796","https://openalex.org/W3202102306"],"abstract_inverted_index":{"In":[0,42,113,159],"this":[1,66,114,133,160],"paper,":[2],"we":[3,68,162],"study":[4,151,182],"positioning":[5,91,120,153],"systems":[6],"using":[7,155],"Vehicular":[8],"Ad":[9],"Hoc":[10],"Networks":[11],"(VANETs)":[12],"to":[13,108],"predict":[14,60],"the":[15,21,25,29,37,40,44,51,61,70,76,82,88,126,137,141,145,152,156,212,215],"position":[16,62,124,209],"of":[17,24,63,208],"vehicles.":[18],"We":[19,181],"use":[20,163],"reception":[22,45],"power":[23,46,142,217],"packets":[26],"received":[27,148],"by":[28,36,50],"Road":[30],"Side":[31],"Units":[32],"(RSUs)":[33],"and":[34,56,81,99,149,164,178,188,193],"sent":[35],"vehicles":[38,64,77,83],"on":[39,214],"roads.":[41],"fact,":[43],"is":[47,105,218],"strongly":[48],"influenced":[49],"distance":[52],"between":[53],"a":[54,57,74,96,101,110,116],"vehicle":[55,117,138],"RSU.":[58],"To":[59],"in":[65,87,185,206],"context,":[67],"adopt":[69],"machine-learning":[71],"methodology.":[72],"As":[73],"pre-requisite,":[75],"know":[78,140],"their":[79,85,190],"positions":[80,86],"send":[84],"packets.":[89],"The":[90,103,129],"system":[92,104],"can":[93],"thus":[94],"perform":[95],"training":[97,157],"sequence":[98],"build":[100],"model.":[102],"then":[106],"able":[107],"handle":[109],"prediction":[111],"request.":[112],"request,":[115],"without":[118],"external":[119],"will":[121,139,150],"request":[122,134,154],"its":[123],"from":[125,136],"neighboring":[127],"RSUs.":[128],"RSUs":[130],"which":[131,144],"receive":[132],"message":[135,146],"at":[143],"was":[147],"set.":[158],"study,":[161],"compare":[165],"three":[166,200],"widely":[167],"recognized":[168],"techniques:":[169],"K":[170],"Nearest":[171],"Neighbors":[172],"(KNN),":[173],"Support":[174],"Vector":[175],"Machine":[176],"(SVM)":[177],"Random":[179],"Forest.":[180],"these":[183,199],"techniques":[184,201],"various":[186],"configurations":[187],"discuss":[189],"respective":[191],"advantages":[192],"drawbacks.":[194],"Our":[195],"results":[196,205],"show":[197],"that":[198],"provide":[202],"very":[203],"good":[204],"terms":[207],"predictions":[210],"when":[211],"error":[213],"transmission":[216],"small.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}