Traffic Forecasting

A lightweight multi-layer perceptron for efficient multivariate time series forecasting

Efficient and effective multivariate time series (MTS) forecasting is critical for real-world applications, such as traffic management and energy dispatching. Most of the current deep learning studies (e.g., Spatio-Temporal Graph Neural Networks and …

T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction

Accurate and real-time traffic forecasting plays an important role in the intelligent traffic system and is of great significance for urban traffic planning, traffic management, and traffic control. However, traffic forecasting has always been …