Disentangling Heterogeneous Traffic Dynamics for Multi-Step Traffic Forecasting via Adaptive Spectral Decomposition
The Adaptive Decomposition Network (ADNet), a component-specific forecasting framework that adaptively disentangles traffic dynamics into dominant and residual components, is proposed, and the effectiveness of adaptive decomposition and component-specific modeling for multi-step traffic forecasting is demonstrated.
Zi-Jun Huang, Chen-Rui Fu, Wen-Hao Wang et al.
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