Special Issue "Neural Network for Traffic Forecasting".

Traffic forecasting is an important research topic in intelligent transportation systems and smart cities. This Special Issue aims to collect the state-of-the-art results of applying neural networks for traffic forecasting. A collection of five papers are accepted and included in this Special Issue, covering the latest methods such as Artificial Neural Networks (ANN), Physics-Informed Neural Networks (PINNs), spatio-temporal attention-boosted autoencoder and Deep Reinforcement Learning (DRL). [Extracted from the article]