Traffic Congestion Signal Inference Based on Trajectory Correlation: A Trajectory Similarity-Based Graph Convolutional Network

Abstract

AbstractUrban traffic flow often exhibits significant dynamic spatiotemporal correlations, leading to uncertain and complex traffic states. Accurately forecasting congestion propagation, which reflects the network dynamics of the congestion scenarios, is ...