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Author

Shu-Yang Li

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Preprint Sep 2026

SimTIO: A Simulation-Grounded Multi-Agent LLM Framework for Compositional Traffic Intervention Optimization

SimTIO, a simulation-grounded multi-agent large language model framework for composing and selecting traffic interventions under explicit operational constraints, supports using LLMs as constrained, feedback-guided local search operators while reserving final decision authority for executable tools, microscopic simulat...

Shu-Yang Li, Rui-Min Ke · 0 citations
Preprint Aug 2026

Risk-Adaptive Edge--Cloud Visual Reasoning for Communication-Efficient Autonomous Driving

A risk-adaptive edge-cloud architecture in which onboard traffic assessment determines when cloud reasoning is requested is presented, in which onboard traffic assessment served as a practical trigger for selective VLM inference in these experiments.

Meng Ma, Shu-Yang Li, Nai-Gang Wang et al. · 0 citations

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