基于三维路面形态分析的非接触方法来检测和评估人行道的非机动使用情况
Shengchuan Jiang1, Hui Wang2, Wenruo Fan2
1Department of Traffic Engineering, Business School, University of Shanghai for Science and Technology, Shanghai 200090, China.
Sensors (Basel, Switzerland)
|April 28, 2025
概括
无接触激光扫描精确测量路面纹理和摩擦,以确保骑自行车者和行人安全. 像碎形尺寸 (FD) 和微纹理密度 (WL) 这样的关键指标可以预测干燥和湿条件下的滑动阻力,有助于路面管理.
科学领域:
- 土木工程 土木工程是指土木工程.
- 材料科学 材料科学 材料科学
- 运输安全运输安全
背景情况:
- 共享的路边路面需要强大的滑动阻力,以确保骑自行车者和行人的安全.
- 目前用于评估路面摩擦的方法可能是接触密集的,并且对于大规模评估来说是低效的.
研究的目的:
- 开发和验证一种非接触式框架,用3D激光扫描和摩擦测试来评估路面的滑动阻力.
- 为了确定关键的表面纹理和关节参数,影响各种环境条件下的滑动阻力.
主要方法:
- 摩擦测试仪和激光扫描仪的集成,用于同步的3D表面纹理表征和摩擦系数测量.
- 从3D激光扫描中推导纹理指标 (碎形维度,纹理深度,关节尺寸).
- 层次回归分析以确定纹理,关节,材料和排水参数对滑动阻力的影响.
主要成果:
- 抬高的宏观纹理和高分形维度 (FD>2.5) 提高了干滑阻力,而深陷的纹理则降低了它.
- 碎形尺寸 (FD) 和平均纹理深度 (MTD) 是干燥摩擦的主要预测因素.
- 微纹理密度 (WL) 和深度对于湿滑阻力至关重要,较低的WL表示更好的排水和更高的摩擦.
结论:
- 无接触激光扫描为大规模评估提供了一种有效的方法,用于绘制路面纹理和摩擦特性.
- 建立了表面指标 (纹理,形态,排水) 和滑动阻力之间的数据驱动联系.
- 结果支持主动人行道安全管理,为标准化设计和风险评估提供基础.
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