AI RESEARCH
Autonomous Traffic Signal Optimization Using Digital Twin and Agentic AI for Real-Time Decision-Making
arXiv CS.AI
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ArXi:2604.27753v1 Announce Type: new This article outlines a new framework of traffic light optimization through a digital twin of the transport infrastructure, managed by agentic AI to ensure real-time autonomous decisions. The framework relies on physical sensors and edge computing to measure real-time traffic information and simulate traffic flow in a constantly updated digital twin. The traffic light is automatically controlled through the digital twin according to traffic congestion, travel delay and traffic patterns.