Forecast network-wide traffic states for multiple steps ahead: A deep learning approach considering dynamic non-local spatial correlation and non-stationary temporal dependency
Xinglei Wang, Xuefeng Guan, Jun Cao, Na Zhang, Huayi Wu
Topics & Concepts
Computer scienceData miningDependency (UML)Artificial intelligenceGraphDeep learningConvolution (computer science)Spatial correlationMachine learningTheoretical computer scienceArtificial neural networkTelecommunicationsTraffic Prediction and Management TechniquesTransportation Planning and OptimizationTraffic control and management