3 papers
cs.AI2026
CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control
Qing Guo, Xinhang Li, Junyu Chen +4
Traffic signal control (TSC) is a core component of intelligent transportation systems (ITS), aiming to reduce congestion, emissions, and travel time. Recent approaches based on re…
cs.LG2025
A Dual Large Language Models Architecture with Herald Guided Prompts for Parallel Fine Grained Traffic Signal Control
Qing Guo, Xinhang Li, Junyu Chen +4
Leveraging large language models (LLMs) in traffic signal control (TSC) improves optimization efficiency and interpretability compared to traditional reinforcement learning (RL) me…
cs.AI2025
Retrieval Augmented Generation-Enhanced Distributed LLM Agents for Generalizable Traffic Signal Control with Emergency Vehicles
Xinhang Li, Qing Guo, Junyu Chen +4
With increasing urban traffic complexity, Traffic Signal Control (TSC) is essential for optimizing traffic flow and improving road safety. Large Language Models (LLMs) emerge as pr…