{"title":"用于道路碰撞预测的人在环集合融合框架：应对来自驾驶员-车辆-环境系统的不平衡异构数据","authors":"Dauha Elamrani Abou Elassad, Zouhair Elamrani Abou Elassad, Abdel Majid Ed-Dahbi, Othmane El Meslouhi, Mustapha Kardouchi, Moulay Akhloufi, Nusrat Jahan","doi":"10.1080/19427867.2024.2392063","DOIUrl":null,"url":null,"abstract":"Road accidents are an inevitable aspect of daily life, and predicting crashes is crucial for minimizing disruptions and advancing intelligent transportation technologies. This study aims to design ...","PeriodicalId":501080,"journal":{"name":"Transportation Letters","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A human-in-the-loop ensemble fusion framework for road crash prediction: coping with imbalanced heterogeneous data from the driver-vehicle-environment system\",\"authors\":\"Dauha Elamrani Abou Elassad, Zouhair Elamrani Abou Elassad, Abdel Majid Ed-Dahbi, Othmane El Meslouhi, Mustapha Kardouchi, Moulay Akhloufi, Nusrat Jahan\",\"doi\":\"10.1080/19427867.2024.2392063\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Road accidents are an inevitable aspect of daily life, and predicting crashes is crucial for minimizing disruptions and advancing intelligent transportation technologies. This study aims to design ...\",\"PeriodicalId\":501080,\"journal\":{\"name\":\"Transportation Letters\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-03\",\"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/10.1080/19427867.2024.2392063\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Letters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/19427867.2024.2392063","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A human-in-the-loop ensemble fusion framework for road crash prediction: coping with imbalanced heterogeneous data from the driver-vehicle-environment system
Road accidents are an inevitable aspect of daily life, and predicting crashes is crucial for minimizing disruptions and advancing intelligent transportation technologies. This study aims to design ...
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
