Vehicle-to-infrastructure (V2I) communication is essential for reliable deployment of connected automated vehicle technology, contributing to the advanced safety and optimization of our transportation networks. However, supplying and maintaining necessary wireless infrastructure is a challenging task, particularly when it comes to rural areas. This study proposes a novel methodology that uses artificial intelligence, machine vision, and smart traffic signs to support V2I in areas where availability of wireless communication infrastructure is limited. The objective of this paper is to investigate the operational challenges of the proposed low-cost solution in different V2I applications, including a MapData message in an unsignalized traffic intersection, traveler information message in a work zone, and a red-light violation warning with the help of a smart sign. The proposed system showed some important advantages, such as invulnerability to third-party alterations and robust operation under harsh environmental conditions.

车辆到基础设施 (V2I) 通信对于可靠部署互联自动车辆技术至关重要，有助于提高我们的交通网络的安全性和优化。然而，提供和维护必要的无线基础设施是一项具有挑战性的任务，尤其是在农村地区。这项研究提出了一种新颖的方法，该方法使用人工智能、机器视觉和智能交通标志来支持无线通信基础设施可用性有限的地区的 V2I。本文的目的是研究所提议的低成本解决方案在不同 V2I 应用程序中的操作挑战，包括无信号交通交叉口中的 MapData 消息、工作区中的旅客信息消息、并在智能标志的帮助下发出闯红灯警告。所提出的系统显示出一些重要的优势，例如不受第三方更改的影响以及在恶劣环境条件下的稳健运行。