Traffic Network

Traffic network research focuses on optimizing the flow of vehicles through road systems to improve efficiency, safety, and sustainability. Current research emphasizes developing sophisticated predictive models, often employing graph neural networks, reinforcement learning, and other deep learning architectures, to forecast traffic conditions, optimize signal timing, and manage incidents. These advancements aim to reduce congestion, improve transportation planning, and enhance the overall efficiency of urban and highway networks, impacting both scientific understanding and practical applications like smart city initiatives and autonomous vehicle navigation.