Traffic prediction via spatial-temporal graph learning network based on multi-domain temporal gated self-attention and attentive spectral graph attention network
Recently, traffic prediction, which serves as a fundamental component of intelligent transportation systems, has become essential for traffic planning and management. Nevertheless, existing traffic prediction methods still face challenges in capturing critical information from traffic data, such as spatial-temporal dep...