In modern smart cities, road networks are becoming more and more complicated, resulting in more complex format of graphs. This brings many challenges to the forecasting of traffic flow in road graphs.

Abstract: We present a processing pipeline for flow-based throughput classification based on a machine learning component using deep neural networks (DNNs) that is trained to predict the likely bit ...

This solution is designed to support activities such as network performance monitoring, diagnostics, and traffic flow optimization. The project integrates a simulated network environment (Mininet) to ...

Keywords: urban traffic construction, traffic flow analysis, deep learning, graph, prediction model. Citation: Yao B, Ma A, Feng R, Shen X, Zhang M and Yao Y (2022) A Deep Learning Framework About ...