{"id":"https://openalex.org/W4408806533","doi":"https://doi.org/10.1108/ijwis-09-2024-0281","title":"eFLEET: a framework in federated learning for enhanced electric transportation","display_name":"eFLEET: a framework in federated learning for enhanced electric transportation","publication_year":2025,"publication_date":"2025-03-25","ids":{"openalex":"https://openalex.org/W4408806533","doi":"https://doi.org/10.1108/ijwis-09-2024-0281"},"language":"en","primary_location":{"id":"doi:10.1108/ijwis-09-2024-0281","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijwis-09-2024-0281","pdf_url":null,"source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Information Systems","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/A5011466608","display_name":"David Eneko Ruiz de Gauna","orcid":"https://orcid.org/0000-0001-5362-0148"},"institutions":[{"id":"https://openalex.org/I168974976","display_name":"Universidad de La Rioja","ror":"https://ror.org/0553yr311","country_code":"ES","type":"education","lineage":["https://openalex.org/I168974976"]},{"id":"https://openalex.org/I4210144271","display_name":"National University of La Rioja","ror":"https://ror.org/03qvyzg66","country_code":"AR","type":"education","lineage":["https://openalex.org/I4210144271"]}],"countries":["AR","ES"],"is_corresponding":false,"raw_author_name":"David Eneko Ruiz de Gauna","raw_affiliation_strings":["International University of La Rioja Department of Computer Science and Technology, , La Rioja,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International University of La Rioja Department of Computer Science and Technology, , La Rioja,","institution_ids":["https://openalex.org/I168974976","https://openalex.org/I4210144271"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089170439","display_name":"Almudena Ruiz\u2010Iniesta","orcid":"https://orcid.org/0000-0002-5019-1103"},"institutions":[{"id":"https://openalex.org/I168974976","display_name":"Universidad de La Rioja","ror":"https://ror.org/0553yr311","country_code":"ES","type":"education","lineage":["https://openalex.org/I168974976"]},{"id":"https://openalex.org/I4210144271","display_name":"National University of La Rioja","ror":"https://ror.org/03qvyzg66","country_code":"AR","type":"education","lineage":["https://openalex.org/I4210144271"]}],"countries":["AR","ES"],"is_corresponding":false,"raw_author_name":"Almudena Ruiz-Iniesta","raw_affiliation_strings":["International University of La Rioja Department of Computer Science and Technology, , La Rioja,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International University of La Rioja Department of Computer Science and Technology, , La Rioja,","institution_ids":["https://openalex.org/I168974976","https://openalex.org/I4210144271"]}]},{"author_position":"last","author":{"id":null,"display_name":"Luis Enrique S\u00e1nchez Crespo","orcid":null},"institutions":[{"id":"https://openalex.org/I79189158","display_name":"University of Castilla-La Mancha","ror":"https://ror.org/05r78ng12","country_code":"ES","type":"education","lineage":["https://openalex.org/I79189158"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Luis Enrique S\u00e1nchez Crespo","raw_affiliation_strings":["University of Castilla-La Mancha Department of Information Technologies and Systems, , Ciudad Real,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Castilla-La Mancha Department of Information Technologies and Systems, , Ciudad Real,","institution_ids":["https://openalex.org/I79189158"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85743455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"21","issue":"5","first_page":"594","last_page":"623"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9829000234603882,"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":0.8481535911560059}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8481535911560059}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ijwis-09-2024-0281","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijwis-09-2024-0281","pdf_url":null,"source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W2142530961","https://openalex.org/W2150220236","https://openalex.org/W2547563495","https://openalex.org/W2568495703","https://openalex.org/W2593704234","https://openalex.org/W2597173771","https://openalex.org/W2738437596","https://openalex.org/W2759462163","https://openalex.org/W2778252806","https://openalex.org/W2791446441","https://openalex.org/W2796568833","https://openalex.org/W2798720628","https://openalex.org/W2886402280","https://openalex.org/W2905319009","https://openalex.org/W2912592113","https://openalex.org/W2914792944","https://openalex.org/W2915357843","https://openalex.org/W2919629196","https://openalex.org/W2934199089","https://openalex.org/W2940663005","https://openalex.org/W2945137226","https://openalex.org/W2947599045","https://openalex.org/W2954034773","https://openalex.org/W2958866644","https://openalex.org/W2962804345","https://openalex.org/W2996848732","https://openalex.org/W2999309192","https://openalex.org/W3002585184","https://openalex.org/W3013124972","https://openalex.org/W3015613093","https://openalex.org/W3021709370","https://openalex.org/W3047498003","https://openalex.org/W3080694619","https://openalex.org/W3084957793","https://openalex.org/W3093755649","https://openalex.org/W3105122387","https://openalex.org/W3123459983","https://openalex.org/W3135231128","https://openalex.org/W3160725325","https://openalex.org/W3165390445","https://openalex.org/W3211199052","https://openalex.org/W4205487313","https://openalex.org/W4226017353","https://openalex.org/W4286859152","https://openalex.org/W4297915025","https://openalex.org/W4308234212","https://openalex.org/W4311591645","https://openalex.org/W4320165540","https://openalex.org/W4376312401","https://openalex.org/W4386097319","https://openalex.org/W4388591977","https://openalex.org/W4389476336","https://openalex.org/W4390342312","https://openalex.org/W4391591707","https://openalex.org/W4394761340","https://openalex.org/W4396651231","https://openalex.org/W4400570324"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Purpose":[0],"A":[1],"fully":[2],"integrated":[3,232],"electric":[4,63],"transportation":[5,80],"system":[6,92],"needs":[7],"to":[8,19,52,71,119,135,156,192,211,244,303,363,440,469],"face":[9],"some":[10],"challenges.":[11],"Therefore,":[12],"the":[13,31,37,41,44,50,123,145,158,164,170,178,185,194,214,217,252,306,318,324,341,349,359,397,421,434],"purpose":[14],"of":[15,27,33,39,43,56,61,129,150,166,173,177,196,216,256,326,345,353,361,382,400,420,457],"this":[16,21,140,246,354,372,464],"paper":[17],"is":[18,268,295,321,348,410,423],"address":[20],"problem":[22,47],"by":[23,122],"conducting":[24],"a":[25,54,59,73,88,205,222,379,385,455],"study":[26,68],"local":[28,447],"mobility":[29],"in":[30,75,117,139,169,241,270,282,290,365,384,402,472],"city":[32],"Madrid":[34],"(Spain)":[35],"with":[36,82,233,248,259,367,378],"aim":[38],"determining":[40],"importance":[42],"vehicle":[45,167,220],"routing":[46,85],"(VRP)":[48],"and":[49,115,154,258,288,293,311,343,369,448,466],"need":[51],"optimize":[53],"set":[55],"routes":[57,442,468],"for":[58,78,162,221,251,286,314,333,394,405,432,459],"fleet":[60],"autonomous":[62],"vehicles":[64,401],"(EAVs).":[65],"Design/methodology/approach":[66],"This":[67,356,409,437,452],"has":[69,133,182,189,208,230,275,392],"allowed":[70],"propose":[72],"framework":[74,374,438,465],"federated":[76,89,124,206],"learning":[77,90,152],"enhanced":[79],"(eFLEET)":[81],"dynamically":[83],"implement":[84],"solutions":[86],"through":[87,131,184,323],"(FL)":[91],"that":[93,188,199,237,424,462],"makes":[94],"decisions":[95],"based":[96,109,443],"on":[97,110,444],"images":[98,118,132,362],"using":[99],"computer":[100],"vision":[101],"(CV)":[102],"algorithms.":[103],"In":[104,227],"addition,":[105,228],"an":[106,260],"additional":[107,261],"layer":[108],"Dag":[111],"technology":[112],"provides":[113],"security":[114,262,368],"privacy":[116],"be":[120,136,470],"consumed":[121],"model.":[125],"Findings":[126],"The":[127,175,266,284,331,417],"use":[128,360,463],"geodata":[130],"proven":[134],"more":[137,276,327],"effective":[138,160],"work.":[141,355],"To":[142],"do":[143],"this,":[144],"authors":[146],"compared":[147],"different":[148],"algorithms":[149,198],"machine":[151],"(ML)":[153],"CV":[155],"determine":[157],"most":[159,179,218,350],"method":[161,357],"calculating":[163],"cost":[165],"traffic":[168,225,346,414,430],"central":[171],"district":[172],"Madrid.":[174,283],"selection":[176,215],"suitable":[180,219],"algorithm":[181],"been":[183,190,209,231,239,301],"MCC":[186],"metric":[187],"used":[191],"compare":[193],"types":[195],"ResNet":[197],"might":[200],"provide":[201,428],"better":[202],"results.":[203],"Finally,":[204],"model":[207,320],"developed":[210],"speed":[212],"up":[213,454],"given":[223],"real":[224],"situation.":[226],"it":[229,412],"other":[234,242,280,291,425],"predictive":[235],"systems":[236],"have":[238,300],"proposed":[240],"studies":[243],"validate":[245],"approach":[247],"data":[249,304],"prediction":[250],"first":[253],"quarter":[254],"(Q1)":[255],"2024":[257],"layer.":[263],"Research":[264],"limitations/implications":[265],"work":[267,422],"centered":[269],"\u201cMadrid":[271],"Central\u201d":[272],"district,":[273],"which":[274,338],"restrictions":[277],"than":[278],"any":[279],"area":[281],"potential":[285,332],"application":[287],"expansion":[289],"districts":[292],"cities":[294],"enormous.":[296],"Furthermore,":[297,371],"these":[298],"experiments":[299],"limited":[302],"from":[305],"past":[307],"full":[308],"year":[309],"(2023)":[310],"its":[312],"predictions":[313],"Q1":[315],"2024.":[316],"Improving":[317],"ML":[319],"possible":[322],"addition":[325],"data.":[328],"Practical":[329],"implications":[330,388,393],"planning":[334,342,391],"safe":[335],"future":[336],"routes,":[337],"can":[339],"improve":[340],"forecasting":[344],"changes,":[347],"significant":[351],"contribution":[352],"enables":[358],"assist":[364],"decision-making":[366],"privacy.":[370],"eFLEET":[373],"facilitates":[375],"rapid":[376],"scalability":[377],"large":[380],"number":[381],"EAVs":[383],"fleet.":[386],"Social":[387],"Improved":[389],"route":[390],"not":[395],"only":[396,427],"energy":[398],"efficiency":[399],"urban":[403],"environments":[404],"but":[406],"also":[407],"pollution.":[408],"because":[411],"avoids":[413],"jams.":[415],"Originality/value":[416],"added":[418],"value":[419],"applications":[426,461],"real-time":[429],"information":[431],"choosing":[433],"best":[435],"route.":[436],"allows":[439],"predict":[441],"climatology,":[445],"calendar,":[446],"pollution,":[449],"among":[450],"others.":[451],"opens":[453],"range":[456],"possibilities":[458],"creating":[460],"allow":[467],"planned":[471],"advance.":[473]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
