To handle this issue, this paper proposes a graph deep learning-based fast traffic flow forecasting method in urban road networks. Firstly ... graph-level forecasting can be realized with the use of ...

the deep learning models, allows to use convolutional neural networks to solve traffic prediction problems. In this article, we analyze the architecture of the graph convolution network for traffic ...

This project aims to develop an artificial intelligence application capable of analyzing network traffic captures generated using a Mininet topology. The application leverages machine learning ...