{"id":"https://openalex.org/W4405112758","doi":"https://doi.org/10.1016/j.procs.2024.11.077","title":"Keynote","display_name":"Keynote","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4405112758","doi":"https://doi.org/10.1016/j.procs.2024.11.077"},"language":"es","primary_location":{"id":"doi:10.1016/j.procs.2024.11.077","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2024.11.077","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2024.11.077","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023861844","display_name":"Yves Vanrompay","orcid":"https://orcid.org/0000-0002-4208-5925"},"institutions":[{"id":"https://openalex.org/I878454856","display_name":"Hasselt University","ror":"https://ror.org/04nbhqj75","country_code":"BE","type":"education","lineage":["https://openalex.org/I878454856"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Yves Vanrompay","raw_affiliation_strings":["Hasselt University, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hasselt University, Belgium","institution_ids":["https://openalex.org/I878454856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023861844"],"corresponding_institution_ids":["https://openalex.org/I878454856"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2632295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"251","issue":null,"first_page":"6","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.11969999969005585,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.11969999969005585,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.06650000065565109,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12406","display_name":"IoT and GPS-based Vehicle Safety Systems","score":0.03779999911785126,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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":0.9138844013214111}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9138844013214111}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2024.11.077","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2024.11.077","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2024.11.077","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2024.11.077","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"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":{"Driver":[0],"competence":[1],"plays":[2],"a":[3,10,55,67,82,88,97,103,106,122,151],"crucial":[4],"role":[5],"in":[6,169,206],"road":[7,40,58],"safety.":[8],"However,":[9],"driver's":[11,83],"capability":[12],"is":[13,52],"affected":[14],"by":[15,148],"numerous":[16],"internal":[17],"factors":[18,28,34],"(e.g.,":[19,178],"age,":[20],"experience":[21],"and":[22,26,30,32,42,57,61,99,133,142,145,154,168,181,200,212,228],"judgement),":[23],"concurrent":[24],"physical":[25],"psychological":[27],"(fatigue":[29],"distractions)":[31],"external":[33],"(weather,":[35],"time":[36,188],"of":[37,47,130,150,184,224,232],"day,":[38],"speed,":[39],"conditions":[41],"traffic":[43],"volume).":[44],"The":[45],"aim":[46],"the":[48,78,166,170,204,221,225],"EU-funded":[49],"i-DREAMS":[50,226],"project":[51],"to":[53,85,203],"establish":[54],"driver":[56,205],"environment":[59],"assessment":[60],"monitoring":[62],"system":[63,79],"that":[64],"will":[65,80,91,229],"define":[66],"safety":[68,192],"tolerance":[69],"zone":[70],"for":[71],"drivers.":[72],"By":[73],"considering":[74],"all":[75],"driving-related":[76],"influences,":[77],"gauge":[81],"ability":[84],"safely":[86],"operate":[87],"vehicle.":[89],"It":[90],"also":[92],"provide":[93],"real-time":[94],"alerts":[95],"during":[96],"trip":[98,104,139],"make":[100],"recommendations":[101],"after":[102],"(through":[105],"smartphone":[107,152],"app)":[108],"when":[109],"tolerable":[110],"limits":[111],"are":[112,172,187,197,201],"reached,":[113],"thus":[114],"mitigating":[115],"driving":[116],"risks.":[117],"To":[118],"achieve":[119],"this":[120,158,215],"goal,":[121],"secure":[123],"technological":[124,222],"platform":[125,227],"was":[126],"set":[127],"up":[128],"consisting":[129],"in-vehicle":[131,191],"sensors":[132],"interventions,":[134],"wireless":[135],"communication":[136,147],"with":[137,174],"cloud-based":[138],"processing,":[140],"scoring":[141],"gamifications":[143],"systems,":[144],"end-user":[146],"means":[149],"app":[153],"web":[155],"dashboard.":[156],"Within":[157],"ubiquitous":[159],"computing":[160],"system,":[161],"own":[162],"developments":[163],"(both":[164],"on":[165],"edge":[167],"cloud)":[171],"integrated":[173],"third":[175],"party":[176],"applications":[177],"OSM":[179],"tiles)":[180],"hardware.":[182],"Some":[183],"these":[185],"components":[186,196],"critical":[189,199],"(e.g.":[190],"interventions),":[193],"while":[194],"other":[195],"non-time":[198],"presented":[202],"an":[207],"intelligent":[208],"way":[209],"(post-trip":[210],"feedback":[211],"-interventions).":[213],"During":[214],"presentation,":[216],"we":[217],"delve":[218],"deeper":[219],"into":[220],"aspects":[223],"demonstrate":[230],"some":[231],"its":[233],"key":[234],"functionalities.":[235]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2024-12-07T00:00:00"}