CoLLMLight
CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal Control
Network-wide optimization in traffic signal control (TSC) requires agents to cooperate across intersections. However, recent Large Language Model (LLM)-based TSC agents are designed as independent agents without inter-intersection cooperation, which limits their effectiveness at the network level. To address this gap, we propose CoLLMLight, a cooperative LLM agent framework for network-wide traffic signal control. CoLLMLight introduces a spatiotemporal-aware cooperative reasoning module to analyze interactions with neighboring agents and produce cooperative suggestions.
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curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
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