{"id":"https://openalex.org/W4410975587","doi":"https://doi.org/10.3390/data10060085","title":"Event Prediction Using Spatial\u2013Temporal Data for a Predictive Traffic Accident Approach Through Categorical Logic","display_name":"Event Prediction Using Spatial\u2013Temporal Data for a Predictive Traffic Accident Approach Through Categorical Logic","publication_year":2025,"publication_date":"2025-06-03","ids":{"openalex":"https://openalex.org/W4410975587","doi":"https://doi.org/10.3390/data10060085"},"language":"en","primary_location":{"id":"doi:10.3390/data10060085","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data10060085","pdf_url":"https://www.mdpi.com/2306-5729/10/6/85/pdf?version=1748937788","source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2306-5729/10/6/85/pdf?version=1748937788","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043712853","display_name":"Eleftheria Koutsaki","orcid":null},"institutions":[{"id":"https://openalex.org/I28710699","display_name":"Hellenic Mediterranean University","ror":"https://ror.org/039ce0m20","country_code":"GR","type":"education","lineage":["https://openalex.org/I28710699"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Eleftheria Koutsaki","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Hellenic Mediterranean University, 71410 Heraklion, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Hellenic Mediterranean University, 71410 Heraklion, Greece","institution_ids":["https://openalex.org/I28710699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088685315","display_name":"G. E. Vardakis","orcid":null},"institutions":[{"id":"https://openalex.org/I28710699","display_name":"Hellenic Mediterranean University","ror":"https://ror.org/039ce0m20","country_code":"GR","type":"education","lineage":["https://openalex.org/I28710699"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"George Vardakis","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Hellenic Mediterranean University, 71410 Heraklion, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Hellenic Mediterranean University, 71410 Heraklion, Greece","institution_ids":["https://openalex.org/I28710699"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048367123","display_name":"Nikos Papadakis","orcid":"https://orcid.org/0000-0002-3640-1768"},"institutions":[{"id":"https://openalex.org/I28710699","display_name":"Hellenic Mediterranean University","ror":"https://ror.org/039ce0m20","country_code":"GR","type":"education","lineage":["https://openalex.org/I28710699"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Nikos Papadakis","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Hellenic Mediterranean University, 71410 Heraklion, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Hellenic Mediterranean University, 71410 Heraklion, Greece","institution_ids":["https://openalex.org/I28710699"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048367123"],"corresponding_institution_ids":["https://openalex.org/I28710699"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16281698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"6","first_page":"85","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.7324947118759155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5739136934280396},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5685203671455383},{"id":"https://openalex.org/keywords/accident","display_name":"Accident (philosophy)","score":0.5155882239341736},{"id":"https://openalex.org/keywords/event-data","display_name":"Event data","score":0.4568735659122467},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4346412718296051},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4241005480289459},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2554871439933777}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.7324947118759155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5739136934280396},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5685203671455383},{"id":"https://openalex.org/C2780289543","wikidata":"https://www.wikidata.org/wiki/Q424630","display_name":"Accident (philosophy)","level":2,"score":0.5155882239341736},{"id":"https://openalex.org/C2987896495","wikidata":"https://www.wikidata.org/wiki/Q5416716","display_name":"Event data","level":3,"score":0.4568735659122467},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4346412718296051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4241005480289459},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2554871439933777},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/data10060085","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data10060085","pdf_url":"https://www.mdpi.com/2306-5729/10/6/85/pdf?version=1748937788","source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9100daeb07574ff793057d421e98cfc5","is_oa":true,"landing_page_url":"https://doaj.org/article/9100daeb07574ff793057d421e98cfc5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data, Vol 10, Iss 6, p 85 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/data10060085","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data10060085","pdf_url":"https://www.mdpi.com/2306-5729/10/6/85/pdf?version=1748937788","source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410975587.pdf","grobid_xml":"https://content.openalex.org/works/W4410975587.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W304292935","https://openalex.org/W809874004","https://openalex.org/W1513576223","https://openalex.org/W1525361479","https://openalex.org/W1538372379","https://openalex.org/W1969542443","https://openalex.org/W1979192143","https://openalex.org/W1990836268","https://openalex.org/W2003680192","https://openalex.org/W2016152450","https://openalex.org/W2037825302","https://openalex.org/W2048326507","https://openalex.org/W2051530877","https://openalex.org/W2054992406","https://openalex.org/W2072592647","https://openalex.org/W2079446734","https://openalex.org/W2083003676","https://openalex.org/W2138980410","https://openalex.org/W2144979178","https://openalex.org/W2151755225","https://openalex.org/W2153836901","https://openalex.org/W2163698217","https://openalex.org/W2178026316","https://openalex.org/W2238337252","https://openalex.org/W2262232454","https://openalex.org/W2334978306","https://openalex.org/W2495951328","https://openalex.org/W2498119267","https://openalex.org/W2506664684","https://openalex.org/W2548006041","https://openalex.org/W2584186900","https://openalex.org/W2592496877","https://openalex.org/W2592635417","https://openalex.org/W2612301670","https://openalex.org/W2621772777","https://openalex.org/W2892554003","https://openalex.org/W2953231487","https://openalex.org/W2953364528","https://openalex.org/W2963610939","https://openalex.org/W3009111239","https://openalex.org/W3044144773","https://openalex.org/W3049601002","https://openalex.org/W3101001020","https://openalex.org/W3103240321","https://openalex.org/W3177547797","https://openalex.org/W3197310459","https://openalex.org/W3197393168","https://openalex.org/W3201605825","https://openalex.org/W4214510498","https://openalex.org/W4234917632","https://openalex.org/W4280555631","https://openalex.org/W4287981142","https://openalex.org/W4296491872","https://openalex.org/W4380837925","https://openalex.org/W4401752117","https://openalex.org/W6606954019","https://openalex.org/W6632312326","https://openalex.org/W6644888518","https://openalex.org/W6683951458","https://openalex.org/W6769056841","https://openalex.org/W6781327263"],"related_works":["https://openalex.org/W4386799044","https://openalex.org/W4388257641","https://openalex.org/W2025614457","https://openalex.org/W4385573527","https://openalex.org/W4308672222","https://openalex.org/W4319877673","https://openalex.org/W4309044578","https://openalex.org/W3111366672","https://openalex.org/W2185070550","https://openalex.org/W4206497353"],"abstract_inverted_index":{"An":[0],"event":[1],"is":[2,80],"an":[3,187],"occurrence":[4],"that":[5,14,128,189,213,251],"takes":[6],"place":[7],"at":[8,174],"a":[9,46,49,93,129,191,196,222,232,240],"specific":[10,165],"time":[11],"and":[12,43,67,91,109,141,171,246],"location":[13],"can":[15,193],"be":[16,56],"either":[17],"weather-related":[18],"(snowfall),":[19],"social":[20],"(crime),":[21],"natural":[22],"(earthquake),":[23],"political":[24],"(political":[25],"unrest),":[26],"or":[27,40],"medical":[28],"(pandemic)":[29],"in":[30,45,48,60,98,119,124,167,272],"nature.":[31],"These":[32],"events":[33,105],"do":[34],"not":[35],"belong":[36],"to":[37,65,89,100,133,181,183,217],"the":[38,73,122,125,143,150,158,175,179,210,236,259,265,269],"\u201cnormal\u201d":[39],"\u201cusual\u201d":[41],"spectrum":[42],"result":[44],"change":[47],"given":[50],"situation;":[51],"thus,":[52],"their":[53,69,137],"prediction":[54,262],"would":[55],"very":[57],"beneficial,":[58],"both":[59],"terms":[61,135,168],"of":[62,75,96,136,169,242],"timely":[63],"response":[64],"them":[66,148],"for":[68,71,83,103,153,164,224],"prevention,":[70],"example,":[72],"prevention":[74],"traffic":[76,226,260],"accidents.":[77],"However,":[78],"this":[79,120,156,206],"currently":[81],"challenging":[82],"researchers,":[84],"who":[85],"are":[86],"called":[87],"upon":[88],"manage":[90],"analyze":[92,247],"huge":[94],"volume":[95],"data":[97,127,163,203],"order":[99],"design":[101],"applications":[102,161,212],"predicting":[104,225],"using":[106,201,228,235,264],"artificial":[107],"intelligence":[108],"high":[110],"computing":[111],"power.":[112],"Although":[113],"significant":[114],"progress":[115],"has":[116],"been":[117,215],"made":[118],"area,":[121],"heterogeneity":[123],"input":[126],"forecasting":[130,160,211],"application":[131,188],"needs":[132],"process\u2014in":[134],"nature":[138],"(spatial,":[139],"temporal,":[140],"semantic)\u2014and":[142],"corresponding":[144,270],"complex":[145],"dependencies":[146],"between":[147],"constitute":[149],"greatest":[151],"challenge":[152],"researchers.":[154],"For":[155],"reason,":[157],"initial":[159],"process":[162],"situations,":[166,185],"number":[170],"characteristics,":[172],"while,":[173],"same":[176],"time,":[177],"having":[178],"possibility":[180],"respond":[182],"different":[184,202,254],"e.g.,":[186],"predicts":[190],"pandemic":[192],"also":[194,220],"predict":[195],"central":[197],"phenomenon,":[198],"simply":[199],"by":[200],"types.":[204],"In":[205],"work,":[207],"we":[208,257],"present":[209,221],"have":[214],"designed":[216],"date.":[218],"We":[219,244],"model":[223,263],"accidents":[227],"categorical":[229],"logic,":[230],"creating":[231],"Knowledge":[233],"Base":[234],"Resolution":[237],"algorithm":[238],"as":[239],"proof":[241],"concept.":[243],"study":[245],"all":[248],"possible":[249],"scenarios":[250],"arise":[252],"under":[253],"conditions.":[255],"Finally,":[256],"implement":[258],"accident":[261],"Prolog":[266],"language":[267],"with":[268],"Queries":[271],"JPL.":[273]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
