{"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":"9 1","pages":""},"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\":\"9 1\",\"pages\":\"\"},\"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 ...
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