In recent years, Vision-Language Models (VLMs) have exhibited powerful capacity of reasoning, decomposing long-horizon tasks and motion planning in robotic manipulation tasks. However, the current ...

Abstract: This paper proposes a novel real-time traffic congestion prediction framework based on dynamic risk field modeling and multi-source data fusion, tailored for complex urban road networks. By ...