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Updated: May 12, 2025

Design and Analysis for Fall Detection System Simplification
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Design and Analysis for Fall Detection System Simplification

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使用基于人工智能的视频分析进行实时应用的反向透过撞击风险预测:整合通用极端价值理论和时间序列预测模型

Md Mohasin Howlader1, Md Mazharul Haque1

  • 1Queensland University of Technology (QUT), School of Civil and Environmental Engineering, Faculty of Engineering, Brisbane, QLD 4000, Australia.

Accident; analysis and prevention
|May 8, 2025
PubMed
概括

这项研究引入了一个新的AI框架,用于在十字路口实时预测碰撞风险. 它使用交通冲突和先进模型准确预测碰撞风险,提高道路安全.

关键词:
崩预测地平线的时间门式经常性单位 门式经常性单位一般化的极端价值模型.长期短期记忆 长期短期记忆季节性自动回归集成移动平均线模型

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