AI RESEARCH
LISA: Cognitive Arbitration for Signal-Free Autonomous Intersection Management
arXiv CS.AI
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ArXi:2605.12321v1 Announce Type: new Large language models (LLMs) show strong potential for Intelligent Transportation Systems (ITS), particularly in tasks requiring situational reasoning and multi-agent coordination. These capabilities make them well suited for cooperative driving, where rule-based approaches struggle in complex and dynamic traffic environments. Intersection management remains especially challenging due to conflicting right-of-way demands, heterogeneous vehicle priorities, and vehicle-specific kinematic constraints that must be resolved in real time.