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基于雨量监测系数的高速公路雨量监测研究
Xingyu Wang1,2, Haixia Feng3,4, Na Wang1,2
1School of Transportation and Logistics Engineering, Shandong Jiaotong University, Jinan, 250023, China.
Scientific reports
|February 23, 2024
概括
这项研究引入了一种新的降雨系数模型,以准确监测降雨期间的高速公路状况. 经过验证的算法精确识别雨天并评估降雨强度,提高道路安全.
科学领域:
- 计算机科学 计算机科学
- 环境科学 环境科学
- 土木工程 土木工程是指土木工程.
背景情况:
- 实时监测恶劣天气对于减少高速公路交通事故至关重要.
- 目前以视频为基础的降雨监测通常侧重于雨水的去除,而不是强度的评估.
- 为了提高高速公路安全,需要精确监测降雨条件.
研究的目的:
- 开发一个雨天和降雨强度的监测模型.
- 为了在雨天期间精确监测高速公路状况.
- 通过精确的天气检测,提高高速公路上的驾驶安全.
主要方法:
- 算法结合了频率和空间域处理.
- 使用高通过,全域值分割和OTSU方法.
- 包含面具处理和形态开放用于消除噪音.
- 开发了一种降雨系数模型 (P降雨系数) 来确定降雨强度.
主要成果:
- 降雨系数模型 (P降雨系数) 准确地识别了阴天和雨天.
- 该模型有效地评估了降雨强度.
- 该算法在验证测试中表现出最高的准确性.
- 该方法适用于高速公路和普通道路段.
结论:
- 开发的降雨系数模型显著提高了雨天监测的准确性.
- 这项研究为提高恶劣天气期间道路交通安全提供了至关重要的工具.
- 该算法的高精度和广泛适用性使其在各种道路环境中具有价值.
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