M. Arif

Congestion Propagation Identification and Prediction Using Self Attention–Based Diffusion Convolutional Approach

A propagation probability matrix is utilizes to identify congestion propagation patterns and finds traffic behavior over 24 h, revealing critical insights into congestion trends in a selected road network and proposing a novel self attention–based diffusion convolutional network (SADCN) that effectively predicts traffic congestion propagation.