路侧单元通信功能和性能测试数据集

本数据集为面向智能网联汽车路侧单元通信功能及性能测试的真实道路环境数据集。数据采集于2024年1月至12月，覆盖全国8个城市超过2000个典型路口，旨在为RSU（路侧单元）的协议一致性、消息准确性、通信时延及坐标系匹配等关键性能提供系统性评估基准。数据集包含原始RSU广播消息与高精度结构化评价数据，数据采集与处理严格遵循车联网C-V2X相关标准。本数据集可用于支撑智能网联汽车“车路云一体化”系统中路侧通信设备的性能验证、算法优化、标准符合性测试及网络部署效果评估，对推动产业规模化落地具有重要价值。This dataset is a real-road environment dataset for communication function and performance testing of roadside units (RSUs) in intelligent connected vehicles (ICVs). The data was collected from January to December 2024, covering over 2,000 typical intersections across 8 cities in China. It aims to provide a systematic evaluation benchmark for key performance metrics of RSUs, including protocol conformance, message accuracy, communication latency, and coordinate system matching. The dataset contains raw RSU broadcast messages and high-precision structured evaluation data, and its data collection and processing strictly comply with relevant C-V2X (Cellular Vehicle-to-Everything) standards for vehicular networks. This dataset can support performance validation, algorithm optimization, standard conformance testing, and network deployment effect evaluation of roadside communication equipment in the integrated vehicle-road-cloud system for intelligent connected vehicles, and holds important value for promoting the large-scale industrial implementation of the relevant industry.

搜集汇总

背景与挑战

背景概述

该数据集是面向智能网联汽车路侧单元（RSU）通信功能及性能测试的真实道路环境数据集，采集于2024年1月至12月，覆盖全国8个城市超过2000个典型路口。它包含原始RSU广播消息与高精度结构化评价数据，遵循车联网C-V2X标准，旨在为RSU的协议一致性、消息准确性、通信时延及坐标系匹配等关键性能提供系统性评估基准，可用于支撑智能网联汽车“车路云一体化”系统中路侧通信设备的性能验证、算法优化和标准符合性测试。