{"title":"Traffic accident severity prediction based on interpretable deep learning model","authors":"Yulong Pei, Yuhang Wen, Sheng Pan","doi":"10.1080/19427867.2024.2398336","DOIUrl":null,"url":null,"abstract":"Accurately predicting traffic accident severity is crucial for road safety. However, existing studies lack interpretability in revealing the relationship between accident severity and key factors. ...","PeriodicalId":501080,"journal":{"name":"Transportation Letters","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Letters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/19427867.2024.2398336","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Accurately predicting traffic accident severity is crucial for road safety. However, existing studies lack interpretability in revealing the relationship between accident severity and key factors. ...
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