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Updated: Jul 19, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
Published on: February 25, 2013
Zhengyan Cui1, Junjun Zhang1, Giseop Noh2
1Department of Computer Information Engineering, Cheongju University, Cheongju 28503, Republic of Korea.
本研究介绍了动态自适应深度时空图卷积网络 (ADSTGCN),以改善多步骤的流量预测. 该模型克服了过度平滑,并提高了适应动态交通条件的灵活性.
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