Graph Neural Networks: Advancing Intelligent Transportation Systems with Innovative Applications and Emerging Trends

Graph Neural Networks (GNNs) have emerged as a highly promising deep learning approach within the Intelligent Transportation Systems (ITS) domain, demonstrating excellent performance across various applications such as traffic forecasting, vehicle control, traffic signal control, transportation safety, demand prediction, and parking management.