English(EN) Autonomous Traffic Signal Optimization Using Digital Twin and Agentic AI for Real-Time Decision-Making

代理AI和数字孪生优化交通信号，实现实时决策

作者 PulseAugur 编辑部 · [2 个来源] · 2026-04-30 11:43

研究人员开发了一个新颖的框架，利用由代理AI管理的交通基础设施数字孪生来优化交通信号。该系统利用物理传感器和边缘计算收集实时交通数据，然后由LangChain在概念化层进行处理。该框架旨在通过根据拥堵和出行模式自主调整交通信号来最大限度地减少等待时间并提高整体交通流量效率。 AI

影响引入了一种新颖的AI驱动的交通管理方法，有望减少拥堵并改善城市交通。

排序理由这是一篇研究论文，详细介绍了使用AI和数字孪生技术进行交通信号优化的新框架。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

报道来源 [2]

arXiv cs.AI TIER_1 English(EN) · Salman Jan, Toqeer Ali Syed, Shahid Kamal, Qamar Wali, Ali Akarma · 2026-05-01 04:00

Autonomous Traffic Signal Optimization Using Digital Twin and Agentic AI for Real-Time Decision-Making

arXiv:2604.27753v1 Announce Type: new Abstract: 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…
arXiv cs.AI TIER_1 English(EN) · Ali Akarma · 2026-04-30 11:43

Autonomous Traffic Signal Optimization Using Digital Twin and Agentic AI for Real-Time Decision-Making

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 inf…