We are on the verge of a new age of linked autonomous cars with unheard-of user experiences, dramatically improved air quality and road safety, extremely varied transportation settings, and a plethora of cutting-edge apps. A substantially improved Vehicle-to-Everything (V2X) communication network that can simultaneously support massive hyper-fast, ultra-reliable, and low-latency information exchange is necessary to achieve this ambitious goal. These needs of the upcoming V2X are expected to be satisfied by the Sixth Generation (6G) communication system. In this article, we start by introducing the history of V2X communications by giving details on the current, developing, and future developments. We compare the applications of communication technologies such as Wi-Fi, LTE, 5G, and 6G. we focus on the new technologies for 6G V2X which are brain-vehicle interface, blocked-based V2X, and Machine Learning (ML). To achieve this, we provide a summary of the most recent ML developments in 6G vehicle networks. we discuss the security challenges of 6G V2X. We address the strengths, open challenges, development, and improving areas of further study in this field.

翻译：我们正处于一个互联自动驾驶汽车新时代的前沿，这一时代将带来前所未有的用户体验、显著改善的空气质量和道路安全、极为多样化的交通环境以及大量尖端应用。要实现这一宏伟目标，需要大幅改进的车联万物（V2X）通信网络，该网络能同时支持海量超高速、超可靠且低延迟的信息交换。第六代（6G）通信系统有望满足未来V2X的这些需求。本文首先通过介绍当前的、正在发展的以及未来的发展趋势，回顾V2X通信的发展历程。我们比较了Wi-Fi、LTE、5G和6G等通信技术的应用场景，并重点分析了6G V2X的新兴技术，包括脑车接口、基于块的V2X以及机器学习（ML）。为此，我们总结了6G车辆网络中机器学习的最新进展，讨论了6G V2X面临的安全挑战，并阐述了该领域的优势、开放性挑战、发展方向以及有待进一步研究的领域。