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Updated: Jul 16, 2025

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机器学习和贝叶斯空间Poisson模型的综合方法用于大规模的实时交通冲突预测

Dongya Li1, Chuanyun Fu2, Tarek Sayed3

  • 1School of Transportation, Southeast University, China; Department of Civil Engineering, The University of British Columbia, Canada.

Accident; analysis and prevention
|September 10, 2023
PubMed
概括

这项研究引入了一种新的方法,将机器学习和贝叶斯空间Poisson模型结合起来,用于实时预测交通冲突. 综合方法准确地预测了交通冲突的发生和频率,增强了道路安全分析.

关键词:
贝叶斯空间波桑模型是贝叶斯空间波桑模型.综合的方法 综合的方法.大规模的大规模.机器学习 机器学习实时冲突预测和预测.

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