{"id":"https://openalex.org/W3207822236","doi":"https://doi.org/10.1109/jiot.2021.3118834","title":"Machine Learning Insights for Behavioral Data Analysis Supporting the Autonomous Vehicles Scenario","display_name":"Machine Learning Insights for Behavioral Data Analysis Supporting the Autonomous Vehicles Scenario","publication_year":2021,"publication_date":"2021-10-10","ids":{"openalex":"https://openalex.org/W3207822236","doi":"https://doi.org/10.1109/jiot.2021.3118834","mag":"3207822236"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2021.3118834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2021.3118834","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/A5018712726","display_name":"Edoardo Prezioso","orcid":"https://orcid.org/0000-0002-0401-8422"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Edoardo Prezioso","raw_affiliation_strings":["Department of Mathematics and Applications “R. Caccioppoli,”, University of Naples Federico II, Naples, Italy"],"raw_orcid":"https://orcid.org/0000-0002-0401-8422","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Applications “R. Caccioppoli,”, University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022404875","display_name":"Fabio Giampaolo","orcid":"https://orcid.org/0000-0001-5414-3435"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Giampaolo","raw_affiliation_strings":["Department of Mathematics and Applications “R. Caccioppoli,”, University of Naples Federico II, Naples, Italy"],"raw_orcid":"https://orcid.org/0000-0001-5414-3435","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Applications “R. Caccioppoli,”, University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046445668","display_name":"Carlo Mazzocca","orcid":"https://orcid.org/0000-0001-8949-2221"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carlo Mazzocca","raw_affiliation_strings":["Department of Computer Science, University of Bologna (Alma Mater Studiorum), Bologna, Italy"],"raw_orcid":"https://orcid.org/0000-0001-8949-2221","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Bologna (Alma Mater Studiorum), Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036232005","display_name":"Armir Bujari","orcid":"https://orcid.org/0000-0002-1955-7699"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Armir Bujari","raw_affiliation_strings":["Department of Computer Science, University of Bologna (Alma Mater Studiorum), Bologna, Italy"],"raw_orcid":"https://orcid.org/0000-0002-1955-7699","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Bologna (Alma Mater Studiorum), Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061211606","display_name":"Valeria Mele","orcid":"https://orcid.org/0000-0002-2643-3483"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Valeria Mele","raw_affiliation_strings":["Department of Mathematics and Applications “R. Caccioppoli,”, University of Naples Federico II, Naples, Italy"],"raw_orcid":"https://orcid.org/0000-0002-2643-3483","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Applications “R. Caccioppoli,”, University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056262036","display_name":"Flora Amato","orcid":"https://orcid.org/0000-0002-5128-5558"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Flora Amato","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy"],"raw_orcid":"https://orcid.org/0000-0002-5128-5558","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0551,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.74649273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"10","issue":"4","first_page":"3107","last_page":"3117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9980000257492065,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8163753747940063},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7096338272094727},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.460484117269516},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.43125295639038086},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.43115586042404175},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41784459352493286},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.41728681325912476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4092519283294678},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3779529333114624},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3422434329986572},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32573816180229187},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.26315146684646606},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.14126357436180115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8163753747940063},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7096338272094727},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.460484117269516},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.43125295639038086},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.43115586042404175},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41784459352493286},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.41728681325912476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4092519283294678},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3779529333114624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3422434329986572},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32573816180229187},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.26315146684646606},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.14126357436180115},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/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.2021.3118834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2021.3118834","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:cris.unibo.it:11585/865905","is_oa":false,"landing_page_url":"http://hdl.handle.net/11585/865905","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"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":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W225817716","https://openalex.org/W1973148682","https://openalex.org/W1979874437","https://openalex.org/W2012897436","https://openalex.org/W2013845817","https://openalex.org/W2026600011","https://openalex.org/W2031946226","https://openalex.org/W2036785686","https://openalex.org/W2041417426","https://openalex.org/W2049329064","https://openalex.org/W2055045754","https://openalex.org/W2055376915","https://openalex.org/W2055661076","https://openalex.org/W2062843776","https://openalex.org/W2083863819","https://openalex.org/W2088251752","https://openalex.org/W2090563475","https://openalex.org/W2097749765","https://openalex.org/W2100372437","https://openalex.org/W2174602916","https://openalex.org/W2584001713","https://openalex.org/W2745090846","https://openalex.org/W2746721413","https://openalex.org/W2793820729","https://openalex.org/W2796104866","https://openalex.org/W2914462341","https://openalex.org/W2963103668","https://openalex.org/W2963182155","https://openalex.org/W2965904675","https://openalex.org/W3007164878","https://openalex.org/W3033962488","https://openalex.org/W3035078642","https://openalex.org/W3035462921","https://openalex.org/W3099769178","https://openalex.org/W3109334963","https://openalex.org/W3134316834","https://openalex.org/W3138446376","https://openalex.org/W3159838919","https://openalex.org/W3161976591","https://openalex.org/W4210966311","https://openalex.org/W6608790045"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"The":[0,175,193],"advent":[1,27],"of":[2,19,28,31,46,63,75,165],"the":[3,26,29,35,42,54,61,76,84,97,163,199,205],"digital":[4],"innovation":[5],"era":[6],"is":[7,58,178],"changing":[8],"service,":[9],"use,":[10],"and":[11,21,90,92,100,134,138,153,161,207],"resources":[12],"management":[13],"paradigms,":[14],"offering":[15],"a":[16,170,184],"wide":[17],"range":[18],"new":[20,123,181],"essential":[22],"opportunities.":[23],"In":[24,111,156],"particular,":[25],"Internet":[30],"Things":[32],"(IoT),":[33],"i.e.,":[34],"ability":[36],"to":[37,41,83,96,107,132,179,203],"connect":[38],"individual":[39,80],"objects":[40],"Internet,":[43],"also":[44,148],"capable":[45],"communicating":[47],"autonomously,":[48],"has":[49],"its":[50],"particular":[51],"declination":[52],"on":[53,68,169],"connected":[55],"vehicle.":[56],"It":[57],"combined":[59],"with":[60],"potential":[62],"advanced":[64],"sensors":[65],"placed":[66],"pervasively":[67],"vehicles,":[69],"which":[70],"offer":[71],"multifunctional":[72],"monitoring":[73],"capabilities":[74],"entire":[77],"system:":[78],"from":[79],"components":[81],"up":[82],"whole":[85],"vehicle,":[86],"including":[87],"driver":[88],"behavior":[89],"conditions":[91],"many":[93],"exogenous":[94],"parameters":[95],"vehicle":[98],"(road":[99],"weather":[101],"conditions,":[102],"congestion,":[103],"risk":[104],"situations,":[105],"changes":[106],"mobility":[108,146],"plans,":[109],"etc.).":[110],"this":[112,157],"perspective,":[113],"machine":[114],"learning":[115,167],"(ML)":[116],"models":[117],"can":[118,126,197],"transform":[119],"raw":[120],"data":[121,173],"into":[122],"knowledge;":[124],"they":[125],"contribute":[127],"in":[128],"an":[129],"innovative":[130],"way":[131],"define":[133],"suggest":[135],"decisions,":[136],"strategies,":[137],"criteria":[139],"for":[140],"resource":[141],"use.":[142],"Nowadays,":[143],"most":[144],"intelligent":[145],"projects":[147],"integrate":[149],"artificial":[150],"intelligence":[151],"(AI)":[152],"ML":[154],"solutions.":[155],"article,":[158],"we":[159],"present":[160],"discuss":[162],"application":[164],"unsupervised":[166],"techniques":[168],"vehicular":[171],"IoT":[172],"set.":[174],"main":[176],"goal":[177],"generate":[180],"knowledge":[182],"about":[183],"geographical":[185],"zone":[186],"by":[187],"analyzing":[188],"historical":[189],"drivers":[190],"behavioral":[191],"data.":[192],"autonomous":[194],"vehicle\u2019s":[195],"framework":[196],"exploit":[198],"generated":[200],"valuable":[201],"insights":[202],"optimize":[204],"routes":[206],"prevent":[208],"critical":[209],"issues.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}