{"id":"https://openalex.org/W4387914366","doi":"https://doi.org/10.1109/codit58514.2023.10284295","title":"Weighted Classification Model to Predict Traffic Accident Severity","display_name":"Weighted Classification Model to Predict Traffic Accident Severity","publication_year":2023,"publication_date":"2023-07-03","ids":{"openalex":"https://openalex.org/W4387914366","doi":"https://doi.org/10.1109/codit58514.2023.10284295"},"language":"en","primary_location":{"id":"doi:10.1109/codit58514.2023.10284295","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/codit58514.2023.10284295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-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/A5068910253","display_name":"Mohamed Mouaici","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mohamed Mouaici","raw_affiliation_strings":[],"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":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068910253"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4151,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60534899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"632","last_page":"637"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10370","display_name":"Traffic and Road Safety","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9977999925613403,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9492999911308289,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/weighting","display_name":"Weighting","score":0.7605002522468567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5899025201797485},{"id":"https://openalex.org/keywords/accident","display_name":"Accident (philosophy)","score":0.5234931707382202},{"id":"https://openalex.org/keywords/traffic-accident","display_name":"Traffic accident","score":0.45526909828186035},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.453977108001709},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4412873685359955},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.41172724962234497},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36819028854370117},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36213743686676025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3125861585140228},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27886587381362915},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19933447241783142},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1735159456729889},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17007654905319214}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7605002522468567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5899025201797485},{"id":"https://openalex.org/C2780289543","wikidata":"https://www.wikidata.org/wiki/Q424630","display_name":"Accident (philosophy)","level":2,"score":0.5234931707382202},{"id":"https://openalex.org/C2989506057","wikidata":"https://www.wikidata.org/wiki/Q9687","display_name":"Traffic accident","level":2,"score":0.45526909828186035},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.453977108001709},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4412873685359955},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.41172724962234497},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36819028854370117},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36213743686676025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3125861585140228},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27886587381362915},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19933447241783142},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1735159456729889},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17007654905319214},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit58514.2023.10284295","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/codit58514.2023.10284295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5400000214576721,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1993220166","https://openalex.org/W2767026970","https://openalex.org/W2790700651","https://openalex.org/W2893845879","https://openalex.org/W2930108727","https://openalex.org/W2939078647","https://openalex.org/W2973700402","https://openalex.org/W2996312338","https://openalex.org/W2996705655","https://openalex.org/W3112352110","https://openalex.org/W3129499366","https://openalex.org/W3138006982","https://openalex.org/W3189646258","https://openalex.org/W3206704750","https://openalex.org/W4225145440","https://openalex.org/W4283732265"],"related_works":["https://openalex.org/W2488460099","https://openalex.org/W2354836866","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","https://openalex.org/W2390805942"],"abstract_inverted_index":{"Traffic":[0],"accident":[1,63],"prediction":[2],"is":[3,58,126],"an":[4],"interesting":[5],"research":[6],"domain":[7],"with":[8],"the":[9,34,37,106,112,115,131,159,172,182],"goal":[10],"of":[11,39,49,114],"providing":[12],"analysis":[13],"and":[14,29,36,69,74,95,105,139,141,166,170],"methods":[15],"to":[16,89],"prevent":[17],"road":[18,92,96],"accidents.":[19],"This":[20],"paper":[21],"presents":[22],"a":[23,47,75,121,149],"solution":[24],"for":[25,66,71,78,134,164,168],"predicting,":[26],"in":[27,42,110],"real-time":[28],"as":[30,32],"early":[31],"possible,":[33],"occurrence":[35],"severity":[38],"traffic":[40,93],"accidents":[41,68,80],"France.":[43],"For":[44],"this":[45],"purpose,":[46],"dataset":[48,84],"more":[50],"than":[51],"200,000":[52],"observations":[53,113],"collected":[54],"over":[55,181],"three":[56,116,183],"years":[57],"used.":[59],"We":[60],"consider":[61],"two":[62],"classes,":[64],"C1":[65,138,165],"minor":[67],"C2":[70],"serious":[72],"accidents;":[73],"third":[76],"class":[77,136],"non-":[79],"cases":[81],"(C0).":[82],"The":[83,152],"includes":[85],"explanatory":[86],"variables":[87],"related":[88],"meteorological":[90],"conditions,":[91],"flow,":[94],"network":[97],"infrastructures.":[98],"Initially,":[99],"eleven":[100],"predictive":[101],"models":[102,133],"are":[103],"tested,":[104],"results":[107,154],"show":[108],"discrepancies":[109],"predicting":[111],"classes.":[117],"To":[118],"address":[119],"this,":[120],"Weighted":[122],"Classification":[123],"Model":[124],"(WCM)":[125],"proposed.":[127],"WCM":[128,157],"relies":[129],"on":[130,145],"best":[132,173],"each":[135],"(C0,":[137],"C2)":[140],"penalizes":[142],"them":[143],"based":[144],"their":[146],"classifications":[147],"using":[148],"weighting":[150],"coefficient.":[151],"evaluation":[153],"demonstrate":[155],"that":[156],"improves":[158],"F1":[160,174,179],"score":[161,176,180],"by":[162],"4%":[163],"2.3%":[167],"C2,":[169],"achieves":[171],"macro":[175],"(the":[177],"average":[178],"classes).":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
