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Updated: Jan 19, 2026

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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一个基于图形的时空框架,用于预测在没有信号的行人过道上安全关键的行人与车辆的相互作用

Kaliprasana Muduli1, Indrajit Ghosh1, Satish V Ukkusuri2

  • 1Transportation Engineering Group, Department of Civil Engineering, Indian Institute of Technology (IIT) Roorkee, Roorkee 247667, Uttarakhand, India.

Accident; analysis and prevention
|January 17, 2026
PubMed
概括

本研究引入了一种新的图形框架,通过分析行人与车辆之间的复杂相互作用来提高行人安全. 新模型提高了预测准确性,优于现有方法,用于更安全的道路环境.

关键词:
预测冲突,预测冲突.脱而出的多尺度聚合.图形神经网络是一个神经网络.混合交通环境中的混合交通环境.多关系图表多关系图表对于行人安全而言,行人安全是非常重要的.步行者与车辆的互动时间空间建模.

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