Intelligent Transportation System (ITS) is observing significant evolution in terms of technology and investment worldwide. This has given birth to the new concept of Internet of vehicles (IoV) as one of the leading applications of the Internet of Things. IoV aims to offer a better sharing of information and communication between vehicles, enabling higher cooperation for common interests. IoV is increasingly attracting the interest of a significant body of research. The e ort was mostly focused on solving various problems encountered in traditional VANETs, such as lack of coordination between vehicles, insufficient information, scalability, etc. Rapidly, IoV observed, particularly interesting advances taking advantage of exponential growth in communication and data analysis technologies. This includes cloud and/or fog computing, large data analytics, machine learning, and artificial intelligence. In this paper, we make a survey of the existing and recently proposed architecture solutions for IoV systems. Moreover, we define a list of criteria, features, and properties associated to the various architectures in order of making critical and insightful comparisons and assessments. Finally, we outline the key future research perspectives on the topic and define the key technical aspects that will help drive the future of IoV architectures.

智能交通系统 (ITS) 正在观察全球技术和投资方面的重大发展。这催生了作为物联网领先应用之一的车联网（IoV）新概念。车联网旨在提供车辆之间更好的信息共享和通信，为共同利益实现更高程度的合作。车联网越来越引起大量研究的兴趣。努力主要集中在解决传统 VANET 中遇到的各种问题，例如车辆之间缺乏协调、信息不足、可扩展性等。 IoV 迅速观察到，特别是利用通信和数据分析技术呈指数增长的有趣进步。这包括云和/或雾计算，大数据分析、机器学习和人工智能。在本文中，我们对车联网系统现有的和最近提出的架构解决方案进行了调查。此外，我们定义了与各种架构相关的标准、特性和属性列表，以便进行关键和有见地的比较和评估。最后，我们概述了有关该主题的关键未来研究观点，并定义了有助于推动车联网架构未来发展的关键技术方面。