沈阳大东区车路协同突发处理场景中6类分析后的数据

本数据集包含车路协同6类分析后数据。6类分析后数据：
1）交通参与者识别与提醒数据。通过采集到车辆或者行人轨迹数据，并通过轨迹数据识别出交通参与者信息，比如提醒司机有行人闯入。
2）交通事件感知与智能处理数据。通过采集到车辆轨迹数据，分析出停车、逆行等各种交通事件，并通知到司机。
3）路口三维地图数据。因为边缘采集数据时，已采集摄像头和雷达覆盖区域的高精地图信息，并保存在边缘计算硬件中。所以采集到的车辆信息包含精准的经纬度信息。
4）交通障碍物监测与预警数据。依赖摄像头的视觉能力，项目中还加载了道路抛洒物识别算法，道路边缘实施预警抛洒物事件。
5）交通传感设备状态监测数据。通过边缘计算硬件采集摄像头、雷达传感器设备实时状态,在云平台上可以查看采集到的设备状态信息，大大提升运维效率。
6）智能浮动车数据数据。边缘计算根据采集的车辆信息，生成车辆路侧安全消息（RSM），并把RSM消息广播给路上所有的车辆，所以路上的V2X车辆都可以知道周边行驶的车辆信息，提升安全性。

This dataset contains 6 categories of post-analyzed data for vehicle-road collaboration. The 6 categories of post-analyzed data are listed as follows:
1) Traffic participant recognition and reminder data: Based on collected vehicle or pedestrian trajectory data, traffic participant information is identified, e.g., reminding drivers of intruding pedestrians.
2) Traffic event perception and intelligent processing data: By collecting vehicle trajectory data, various traffic events such as stopped vehicles and wrong-way driving are analyzed, and relevant notifications are sent to drivers.
3) Intersection 3D map data: During edge data collection, high-precision map information covering the coverage areas of cameras and radars has been collected and stored in edge computing hardware. Therefore, the collected vehicle information includes accurate latitude and longitude data.
4) Traffic obstacle monitoring and early warning data: Leveraging the vision capabilities of cameras, the project integrates road debris recognition algorithms to issue early warnings for road debris incidents occurring at road edges.
5) Traffic sensing device status monitoring data: The edge computing hardware collects real-time status data of cameras and radar sensors, and the collected device status information can be viewed on the cloud platform, which greatly improves operation and maintenance efficiency.
6) Intelligent floating car data: The edge computing generates Roadside Safety Messages (RSM) based on the collected vehicle information, and broadcasts the RSM to all vehicles on the road. Thus, all V2X-equipped vehicles on the road can acquire information about surrounding moving vehicles, enhancing driving safety.

搜集汇总

背景与挑战

背景概述

该数据集源自沈阳大东区的车路协同突发处理场景，包含六类分析后数据，涉及交通参与者识别、事件感知、三维地图、障碍物监测、设备状态监测和智能浮动车信息。这些数据旨在通过边缘计算和智能分析，提升交通安全预警和运维效率。