PDR-STGCN: An Enhanced STGCN with Multi-Scale Periodic Fusion and a Dynamic Relational Graph for Traffic Forecasting

Accurate traffic flow prediction is a core component of intelligent transportation systems, supporting proactive traffic management, resource optimization, and sustainable urban mobility. However, urban traffic networks exhibit heterogeneous multi-scale periodic patterns and time-varying spatial int...

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書目詳細資料

Principais autores:	Jie Hu, Bingbing Tang, Langsha Zhu, Yiting Li, Jianjun Hu, Guanci Yang
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2026-01-01
叢編:	Systems
主題:	traffic flow prediction multi-scale periodicity dynamic relational graph spatio-temporal graph neural networks intelligent transportation systems
在線閱讀:	https://www.mdpi.com/2079-8954/14/1/102
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