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Updated: Sep 13, 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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一个适应的时空动态图卷积网络用于交通预测

Zhiguo Xiao1,2, Qi Shen1, Changgen Li1

  • 1School of Computer Science & Technology, Beijing Institute of Technology, Beijing, 100811, China.

Scientific reports
|July 27, 2025
PubMed
概括

这项研究引入了一个适应的时空动态图卷积网络 (AST-DGCN),用于改进交通预测. 这种新型模型通过动态捕捉复杂的时空交通模式来提高准确性,优于现有的方法.

关键词:
动态图表生成的动态图表生成有门的经常性单位.图表 卷积网络 卷积网络交通预测,交通预测.

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