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Updated: Jul 6, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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Published on: July 3, 2020

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单个车辆撞车严重性的高效和可靠估计:混合逻辑模型,平均值和差异异性异质

Zhenning Li1, Chengyue Wang2, Haicheng Liao2

  • 1State Key Laboratory of Internet of Things for Smart City and Departments of Civil and Environmental Engineering and Computer and Information Science, University of Macau, Macao Special Administrative Region of China.

Accident; analysis and prevention
|December 29, 2023
PubMed
概括

本研究使用强大的混合逻辑模型确定了影响单车撞车严重性的关键因素. 优化的估计方法显著提高了计算效率和模型准确性,以便更好地分析道路安全.

关键词:
哈尔顿序列的时间序列.平均值和差异的异质性和差异性.混合 logit 的情况.单一车辆发生的撞车事故.

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