A human-in-the-loop ensemble fusion framework for road crash prediction: coping with imbalanced heterogeneous data from the driver-vehicle-environment system

Dauha Elamrani Abou Elassad, Zouhair Elamrani Abou Elassad, Abdel Majid Ed-Dahbi, Othmane El Meslouhi, Mustapha Kardouchi, Moulay Akhloufi, Nusrat Jahan
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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 ...
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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
道路交通事故是日常生活中不可避免的一个方面,预测交通事故对于最大限度地减少交通中断和推进智能交通技术的发展至关重要。本研究旨在设计...
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