Cooperative Intelligent Transport Systems (C-ITS) create, share and process massive amounts of data which needs to be real-time managed to enable new cooperative and autonomous driving applications. Vehicle-to-Everything (V2X) communications facilitate information exchange among vehicles and infrastructures using various protocols. By providing computer power, data storage, and low latency capabilities, Multi-access Edge Computing (MEC) has become a key enabling technology in the transport industry. The Local Dynamic Map (LDM) concept has consequently been extended to its utilisation in MECs, into an efficient, collaborative, and centralised Edge Dynamic Map (EDM) for C-ITS applications. This research presents an EDM architecture for V2X communications and implements a real-time proof-of-concept using a Time-Series Database (TSDB) engine to store vehicular message information. The performance evaluation includes data insertion and querying, assessing the system's capacity and scale for low-latency Cooperative Awareness Message (CAM) applications. Traffic simulations using SUMO have been employed to generate virtual routes for thousands of vehicles, demonstrating the transmission of virtual CAM messages to the EDM.

翻译：协作式智能交通系统（C-ITS）需要创建、共享和处理海量数据，这些数据必须实时管理，以支持新型协作与自动驾驶应用。车联网（V2X）通信利用多种协议促进车辆与基础设施间的信息交换。多接入边缘计算（MEC）凭借其计算能力、数据存储和低延迟特性，已成为交通运输行业的关键使能技术。本地动态地图（LDM）概念因此被扩展应用于MEC，发展为面向C-ITS应用的高效、协作且集中化的边缘动态地图（EDM）。本研究提出了一种面向V2X通信的EDM架构，并利用时序数据库（TSDB）引擎实现了实时概念验证，用于存储车辆消息信息。性能评估涵盖数据插入与查询，测试了系统在低延迟协作感知消息（CAM）应用中的容量与规模。通过使用SUMO进行交通仿真，生成了数千辆虚拟车辆的行驶路线，验证了虚拟CAM消息向EDM的传输过程。