LiRA-CD:用于道路状况建模和研究的开源数据集.
Asmus Skar1, Anders M Vestergaard1, Thea Brüsch2
1Environmental and Resource Engineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.
Data in brief
|July 31, 2023
概括
本研究介绍了实时道路评估定制数据集 (LiRA-CD),这是一种用于道路状况研究的开源资源. 它提供了来自电动汽车的广泛传感器数据,用于建模道路参数和路面工程.
科学领域:
- 土木工程 土木工程是指土木工程.
- 运输工程 运输工程
- 数据科学数据科学数据科学
背景情况:
- 准确的道路状况评估对于基础设施维护和车辆性能至关重要.
- 现有的数据集可能缺乏全面的传感器数据或现实世界的道路覆盖.
- 开发先进的道路状况模型需要多样化和高质量的数据.
研究的目的:
- 引入实时道路评估定制数据集 (LiRA-CD).
- 为道路状况建模和研究提供一个有价值的资源.
- 为了促进对道路参数预测算法的基准测试.
主要方法:
- 收集了来自电动汽车车队的GPS轨迹和时间序列传感器数据.
- 通过50个车载传感器在哥本哈根230公里的高速公路和城市道路上获取数据.
- 使用标准测量车辆进行高质量的路况测量.
- 使用物联网 (IoT) 设备用于车载数据收集和传输.
主要成果:
- LiRA-CD数据集包括全面的车载传感器数据和参考测量.
- 该数据集涵盖了各种道路类型,包括高速公路和城市环境.
- 数据包括GPS轨迹,时间序列传感器读数和道路状况参数.
结论:
- LiRA-CD是一个有价值的开源数据集,用于道路状况研究和预测建模.
- 该数据集可用于建模表面摩擦,纹理,粗度,损坏和能源消耗.
- 研究人员和路面工程师可以利用LiRA-CD进行算法基准测试和未来研究.
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