LLM-Driven Signal Control Method for Signalized Intersections with Mixed Traffic Flow
This paper proposes integrating a Large Language Model (LLM) into signal control: roadside devices perceive traffic states, prompt engineering is constructed, and the LLM is driven to reason and generate control signals, on this basis, a CAV speed guidance algorithm is proposed.