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Updated: Jun 16, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

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预测碰撞频率的新框架:基于大墨尔本地区基于代理活动模型的地理支向量回归

Quynh Duong1, Hulya Gilbert2, Hien Nguyen3

  • 1Department of Engineering, School of Computing, Engineering and Mathematical Sciences, La Trobe University, Plenty Rd, Bundoora, VIC 3086, Australia.

Accident; analysis and prevention
|August 20, 2024
PubMed
概括

交通安全的空间分析显示,活跃运输用户面临的风险更高. 新的地理支向量回归 (GSVR) 框架通过分析交通和土地使用等因素来改善撞车预测.

关键词:
基于活动的建模.崩频率预测的预测功能选择 功能选择地理支向量回归的地理支向量回归机器学习是机器学习.变量的重要性变量.

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