Traffic Intelligence

Traffic intelligence aims to optimize urban transportation systems by leveraging data-driven insights to improve efficiency and reduce congestion. Current research focuses on developing sophisticated algorithms, such as deep learning models (including deep radial basis function networks), and integrating large language models to provide a more user-friendly and comprehensive approach to traffic analysis and control. This field is significant because improved traffic management directly impacts quality of life in cities, and advancements are leading to more effective and adaptable solutions for real-world deployment.