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来自上海十字路口的高精度车辆轨迹数据:无人机和GNSS接收器收集的微观交通流量研究的独特数据集
Jing Zhao1, Ruoming Ma1, Meng Wang2
1Department of Traffic Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Data in brief
|September 18, 2024
概括
这项研究引入了使用无人机和厘米级全球导航卫星系统 (GNSS) 技术的新型,高度准确的车辆轨迹数据集. 这一数据集为精确的驾驶行为和交通流模型验证提供了基本真相.
科学领域:
- 运输工程 运输工程
- 交通流动动态 交通流动动态
- 自主系统 自主系统
背景情况:
- 微观的交通流和驾驶行为研究需要准确的车辆轨迹数据.
- 现有的数据集存在错误,缺乏基本真相,限制了它们的实用性.
- 高精度数据对于开发和验证先进的交通模型至关重要.
研究的目的:
- 为了呈现一个新的,高精度的车辆轨迹数据集.
- 为验证无人机提取的轨迹提供地面真相数据.
- 支持驾驶行为分析和交通流量建模方面的研究.
主要方法:
- 使用无人机和高精度全球导航卫星系统 (GNSS) 接收器收集车辆轨迹数据.
- 达到厘米级准确度 (小于5厘米的误差).
- 记录了70个完整的轨迹 (10,840个数据点),包括左转,通过和右转的机动.
主要成果:
- 创建了一个具有厘米级精度的全面数据集.
- 该GNSS数据作为可靠的地面真相,以无人机为基础的轨迹提取.
- 数据集包括各种转向行为 (27左,27通过,16右).
结论:
- 这一数据集为微观交通分析提供了前所未有的准确性.
- 能够验证和校准微观的流量模型.
- 促进了轨迹重建和驾驶行为研究的进步.
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