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Updated: Sep 19, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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ST-GTrans:具有道路网络语义意识的时空图形转换器,用于交通流量预测

Pingping Dong1, Xiaoning Zhang2

  • 1Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong; School of Economics and Management, Tongji University, Siping Road 1239, Shanghai, 200092, China.

Neural networks : the official journal of the International Neural Network Society
|June 4, 2025
PubMed
概括

这项研究介绍了ST-GTrans,一种用于准确预测交通流量的新型时空图形变压器. 它有效地捕捉复杂的道路网络语义和时间模式,优于现有的方法.

关键词:
深度学习是一种深度学习.融合神经网络是一种神经网络.时间空间的依赖关系.交通预测,交通预测.变压器变压器变压器

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