{"id":"https://openalex.org/W4403534392","doi":"https://doi.org/10.1109/codit62066.2024.10708384","title":"Real-time Prediction of Traffic Accident Risk Focused on the Most Accident-Prone Zones","display_name":"Real-time Prediction of Traffic Accident Risk Focused on the Most Accident-Prone Zones","publication_year":2024,"publication_date":"2024-07-01","ids":{"openalex":"https://openalex.org/W4403534392","doi":"https://doi.org/10.1109/codit62066.2024.10708384"},"language":"en","primary_location":{"id":"doi:10.1109/codit62066.2024.10708384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit62066.2024.10708384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)","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/A5068910253","display_name":"Mohamed Mouaici","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohamed Mouaici","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5093120733","display_name":"Fr\u00e9d\u00e9ric Royet","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fr\u00e9d\u00e9ric Royet","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1299","last_page":"1304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13751","display_name":"Diverse Approaches in Healthcare and Education Studies","score":0.890500009059906,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T13751","display_name":"Diverse Approaches in Healthcare and Education Studies","score":0.890500009059906,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14484","display_name":"Technology and Data Analysis","score":0.8849999904632568,"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/T14412","display_name":"Marine and Coastal Research","score":0.8235999941825867,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/accident","display_name":"Accident (philosophy)","score":0.8233973383903503},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5779236555099487},{"id":"https://openalex.org/keywords/traffic-accident","display_name":"Traffic accident","score":0.47240155935287476},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.333884060382843},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20959210395812988}],"concepts":[{"id":"https://openalex.org/C2780289543","wikidata":"https://www.wikidata.org/wiki/Q424630","display_name":"Accident (philosophy)","level":2,"score":0.8233973383903503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5779236555099487},{"id":"https://openalex.org/C2989506057","wikidata":"https://www.wikidata.org/wiki/Q9687","display_name":"Traffic accident","level":2,"score":0.47240155935287476},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.333884060382843},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20959210395812988},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit62066.2024.10708384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit62066.2024.10708384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2622838661","https://openalex.org/W2893845879","https://openalex.org/W2973700402","https://openalex.org/W2991137082","https://openalex.org/W2996312338","https://openalex.org/W3112352110","https://openalex.org/W3129499366","https://openalex.org/W3138006982","https://openalex.org/W4200212136","https://openalex.org/W4212807813","https://openalex.org/W4225145440","https://openalex.org/W4283732265","https://openalex.org/W4387914366"],"related_works":["https://openalex.org/W2488460099","https://openalex.org/W2354836866","https://openalex.org/W4401743298","https://openalex.org/W852515486","https://openalex.org/W2384322858","https://openalex.org/W2366187940","https://openalex.org/W2364212620","https://openalex.org/W2352065077","https://openalex.org/W2527775010","https://openalex.org/W596831420"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,19,48,74,82,162],"solution":[4],"designed":[5],"to":[6,51,121,136,170],"predict":[7],"accident":[8],"risk":[9],"in":[10,15,73,116,150,165,178],"the":[11,52,96,110,117,129,138,166,171,185,189],"most":[12],"accident-prone":[13],"zones":[14,30],"France.":[16],"Drawing":[17],"on":[18,64],"comprehensive":[20],"dataset":[21,75,80],"of":[22,69,109,128,152,188],"210,007":[23],"accidents":[24],"spanning":[25],"four":[26,44],"years,":[27],"22":[28],"high-risk":[29],"are":[31,61,176],"identified":[32,53],"for":[33],"focused":[34],"models":[35,39],"development.":[36],"The":[37,79,106,142,158],"predictive":[38,104,147],"leverage":[40],"35":[41],"features":[42],"from":[43],"data":[45],"sources,":[46],"enabling":[47],"tailored":[49],"approach":[50],"zones.":[54],"To":[55,90],"enable":[56],"real-time":[57],"predictions,":[58],"non-accident":[59],"scenarios":[60],"generated":[62],"based":[63],"temporal":[65],"and":[66,101,155,180],"spatial":[67],"dimensions":[68],"each":[70],"accident,":[71],"resulting":[72],"comprising":[76],"770,880":[77],"observations.":[78],"exhibits":[81,161],"significant":[83],"imbalance,":[84],"with":[85],"only":[86],"8.2%":[87],"representing":[88],"accidents.":[89],"address":[91],"this":[92],"challenge,":[93],"we":[94],"employ":[95],"SMOTE":[97],"technique.":[98],"Then":[99],"train":[100],"evaluate":[102],"11":[103],"models.":[105],"initial":[107],"version":[108,127],"Weighted":[111],"Classification":[112],"Model":[113],"(WCM)":[114],"proposed":[115,190],"literature":[118],"is":[119,131],"adapted":[120],"our":[122],"context.":[123],"Additionally,":[124],"an":[125],"enhanced":[126,159],"WCM":[130,160],"introduced,":[132],"incorporating":[133],"Exponential":[134],"Ponderation":[135],"refine":[137],"weighted":[139],"classification":[140],"score.":[141,157],"Evaluation":[143],"results":[144],"demonstrate":[145],"improved":[146],"performances,":[148],"particularly":[149],"terms":[151],"precision,":[153],"recall,":[154],"F1":[156,167],"1.3%":[163],"improvement":[164],"score":[168],"compared":[169],"classical":[172],"version.":[173],"Real-time":[174],"evaluations":[175],"conducted":[177],"France":[179],"showcase":[181],"promising":[182],"results,":[183],"underscoring":[184],"practical":[186],"applicability":[187],"solution.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
