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Updated: Jun 5, 2025

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一个基于空间时间图形卷积网络的共享自行车需求预测模型

Chaoran Zhou1, Jiahao Hu1, Xin Zhang1

  • 1School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, Jilin, China.

PeerJ. Computer science
|December 9, 2024
PubMed
概括

本研究引入了一个空间时间共享自行车需求预测 (ST-BDP) 模型,以优化自行车放置. 该模型准确预测需求,提高共享自行车效率和城市流动性.

关键词:
需求图表 需求图表需求预测需要预测.图形卷积网络 (GCN) 是一个图形卷积网络.时间空间的特征.

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