Relation-diffusion augmented network-wide traffic state estimation under sparse sensor deployment
The Relation-Augmented Diffusion Graph Convolution Network (RADGCN), a relation-aware adaptive diffusion framework for traffic state estimation under sparse observations, is proposed, which learns functional relationships among observed nodes using reliable temporal traffic features and graph-aware attention and propag...