德克萨斯州东南部的路面状况和气候数据:评估洪水对路面性能的影响的数据集
Hossein Hariri Asli1, Nicholas Brake1, Mahdi Feizbahr1
1Department of Civil and Environmental Engineering, Lamar University, Beaumont, TX 77710, United States.
Data in brief
|September 2, 2025
概括
这项研究介绍了德克萨斯州东南部路面性能预测的综合数据集. 它有助于了解道路对环境的影响和改善维护策略.
科学领域:
- 土木工程
- 数据科学
- 环境科学
背景情况:
- 有效地维护路面对于经济稳定,网络性能和安全至关重要.
- 准确的路面状况评估对于优化维护和恢复 (M&R) 策略至关重要.
- 数据驱动的建模需要标准化,高质量的数据集来进行稳健的基础设施分析.
研究的目的:
- 提供全面的路面性能预测数据集,重点是德克萨斯州东南部.
- 为了能够检查与负载相关的和非负载相关的路面退化机制.
- 支持对受洪水影响地区的维护需求和抵御能力的预测工具的开发.
主要方法:
- 组建了一个数据集,包括路面,交通,气象,洪水模拟,地面变形和地形数据.
- 使用ArcGIS Pro,Microsoft Excel和Python进行数据预处理并确保机器学习的可用性.
- 气候/环境因素的分析,预测特征的识别和相关性分析.
主要成果:
- 该数据集可以详细检查路面退化因各种因素.
- 确定了各种变量之间的关键预测特征和相关性.
- 在路面性能建模的输入变量选择中填补空白.
结论:
- 标准化数据集对于推进路面管理实践至关重要.
- 这一数据集为基础设施性能建模和提高路面弹性提供了坚实的基础.
- 通过准确的情况评估,支持改善资源分配和管理和调整策略.
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