智能公路发展现状与关键技术（双语出版）

借鉴美国自动公路系统（Automated Highway Systems，AHS）技术框架，系统回顾了初级应用、通信技术、绿色能源技术、自动驾驶技术等不同因素驱动下智能公路的概念演化、技术发展和未来变革。根据当前信息技术的发展趋势，在AHS的研究基础上延伸和扩展了智能公路的概念和技术框架，提出了未来智能公路系统的演化方向以及包含信息管理层、网络通信层和感应控制层的智能公路体系架构。同时，瞄准当前主流技术和未来科技发展方向，总结了泛在无线通信、高精度定位与导航、车辆队列控制、无线充电、道路智能材料、道路主动安全控制、面向出行即服务的车路信息交互、基于基础设施的智能决策规划等驱动智能公路快速发展的新兴技术研究现状，并基于这8项关键技术的自身发展特点，提出了未来智能公路技术应用和推广的建议措施；分析了车路协同一体化、智能平行系统、人工智能、交通信息安全、自动驾驶等新兴技术将对未来智能公路发展带来的冲击和影响；系统性地预测了智能公路技术的商业化推广路线以及未来智能公路的应用将进一步降低自动驾驶的技术设备成本，为自动驾驶提供了一个更安全、更稳定和高效的交通环境。研究成果将对当前和未来智能公路的技术研发和工程应用具有一定指导意义。

A Review on Intelligent Road and Its Related Key Technologies（in English）

Based on the technical framework of automated highway systems (AHSs), the influence of different driving factors such as primary application, communications technology, green energy technology, and automated driving technology, the evolution of concepts, development of technology, and future changes in intelligent roads (IRs) were reviewed in this paper. According to the current development trend in information technology, the concept and technical framework of IRs have been extended and expanded on the basis of studies on AHSs. The direction of evolution of the IR system in the future, and its system architecture, which consists of a management layer, network layer, and application layer, were presented. Meanwhile, focusing on the current popular technologies and the development direction of science and technology in the future, the status of research on emerging technologies driving the rapid development of IRs were summarized, such as ubiquitous wireless communication, high-precision positioning and navigation, vehicle platoon control, wireless charging, road intelligent materials, road active safety control technology, vehicle-to-road information interaction for Mobility-as-a-Service, intelligent decision planning technology combined with infrastructure, etc. Based on the development characteristics of these eight key technologies, some recommendations on the application and promotion of IR technology in the future are presented. Meanwhile, the influence and impact of emerging technologies such as vehicle-integrated integration, intelligence parallel systems, artificial intelligence, and traffic information security on the future development of IR were analyzed. Finally, this paper systematically predicted the commercialization promotion route of IR technologies, and that the application of IR will further reduce the cost of technologies and equipment in autonomous driving, providing a safer, more stable and efficient traffic environment for autonomous driving in the future. The research results of this paper have significance as reference for current and future technology research and development of IR and engineering applications of IR.