IntelliWay-变耦合模块化智慧高速公路系统一体化架构及测评体系

根据当前智慧高速公路系统的发展历程，总结一些典型的车路协同系统逻辑与物理模型。在总结国内外智慧高速公路系统的整体架构之后，提出新一代智慧高速系统的总体架构-IntelliWay,包括智慧高速公路系统分层模块化架构、基于变耦合程度的智能分级和基于事件驱动的数据分发机制。同时，根据当前智慧高速公路系统的主流应用技术，总结车载高精度定位、高级驾驶辅助系统(Advanced Driver Assistance System, ADAS)与车载总线、路侧设备优化、异构网络融合、网络负载均衡、网络信息安全、多传感器融合与协同感知、以用户为中心的场景自适应信息发布、车辆群体协同自动驾驶、基于大数据与人工智能的交通态势预测、车道级主动交通管理、组件式应用服务开发等驱动智慧高速公路系统快速发展的新兴技术研究现状，然后基于以上关键技术的特点提出未来智慧高速公路系统应用的实施建议；分析广播式交通信息服务、主动交通管理、伴随式信息服务、自动驾驶专用道、车辆队列协同驾驶等智慧高速公路系统的典型应用场景，进行智慧高速系统的测评方法分析和相关案例分析。最后，系统性地分析和预测智慧高速系统存在的挑战及未来发展趋势，以...

IntelliWay: An Integrated Architecture and Testing Methodology for Intelligent Highway Using Varied Coupling Modularization

Based on the development of intelligent highways, typical logical and physical models of cooperative vehicle-infrastructure systems are summarized in this paper. Through the comparative analysis of demand between cooperative vehicle infrastructure systems on highways and other advanced transportation systems, intelligent highway systems can be better studied. After summarizing the overall architecture of domestic and foreign cooperative vehicle infrastructure systems on highways, this paper proposes a novel generation method for intelligent highway system architectures, including an overall architecture, intelligent classification, and data distribution mechanism for intelligent highways based on modularization. Additionally, according to the current mainstream application technology of cooperative vehicle infrastructure systems on highways, the status of research on emerging technologies driving the rapid development of intelligent highway systems is summarized. Research topics include high-precision vehicle navigation technology, advanced driver assistance system and vehicle bus technology, roadside unit optimization technology, heterogeneous network integration technology, network load balancing technology, network information security technology, multi-sensor fusion and cooperative awareness technology, user-centered scene adaptive information publishing technology, vehicle group cooperative autonomous driving technology, forecasting of transportation technology based on big data and artificial intelligence, lane-level active traffic management technology, and component-based application service development technology. Based on the characteristics of these 12 key technologies, recommendations regarding the application and promotion of intelligent highway system technology in the future are presented. In this study, typical scenarios of cooperative vehicle infrastructure systems on highways were analyzed, including traffic information services in broadcasting, active traffic management, syndrome traffic information services, automated vehicle dedicated lanes, and cooperative autonomous driving in vehicle platoons. Additionally, evaluation methods and relevant case studies on intelligent highway systems are summarized. Finally, the challenges and future development trends of intelligent highways are systematically analyzed and predicted. Highly trusted information interactions and intelligent collaborative control between people, goods, vehicles, roads, and clouds will provide a real-time and highly reliable traffic environment for autonomous driving on highways. The results of this study are significant as a reference for current and future technology research and the development of intelligent highways and engineering applications of intelligent highway systems.