VLALight: A Vision-Language-Action Model for Traffic Signal Control
cs.AI
Submitted: 2026-09-29
Updated: 2026-09-29
Code: https://github.com/usail-hkust/VLALight
Sources
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- OpenVLA: An Open-Source Vision-Language-Action Model
- GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
- LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments
- TranSimHub:A Unified Air-Ground Simulation Platform for Multi-Modal Perception and Decision-Making
- A Survey on Traffic Signal Control Methods
- Efficient Pressure: Improving efficiency for signalized intersections
- Robotic Control via Embodied Chain-of-Thought Reasoning
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