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相关概念视频

PD Controller: Design01:26

PD Controller: Design

210
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
210

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相关实验视频

Updated: Jun 18, 2025

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
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使用车辆姿势数据检测异常路面状况,考虑速度变化.

Qihua Zhan1, Yuxin Ding1, Tian Lei1

  • 1College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen 518118, China.

Sensors (Basel, Switzerland)
|July 27, 2024
PubMed
概括

本研究介绍了一种低成本的移动系统,使用传感器和机器学习来监测路面状况. 随机森林模型,结合车辆速度,在检测道路异常方面表现最好.

关键词:
惯性导航系统是一种惯性导航系统.机器学习是机器学习.路面状况检测 路面状况检测车辆的姿势 车辆的姿势车辆的速度是非常快的.

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相关实验视频

Last Updated: Jun 18, 2025

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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:

  • 有效的道路资产管理依赖于准确的路面状况监测.
  • 及时检测异常路面状况对于有效的维护决策至关重要.

研究的目的:

  • 开发一个具有成本效益的移动路面状况监测系统.
  • 利用低成本的传感器和机器学习进行实时数据收集和分析.
  • 确定影响路面状况识别的关键特征,并评估车辆速度的影响.

主要方法:

  • 一个带有惯性测量单元 (IMU) 和全球定位系统 (GPS) 的车载单元 (OBU) 收集了实时车辆姿势数据.
  • 分析了正常和异常路面条件的时间和频率域特征.
  • 开发和评估了六种机器学习模型,包括随机森林 (RF) 模型,并考虑了车辆速度间隔.

主要成果:

  • 特征工程确定了用于识别异常路面状况的关键因素.
  • 采用车辆速度的随机森林 (RF) 模型在路面状况监测中实现了最高的性能.
  • 为不同的车辆速度间隔开发了分类模型,显示了速度对评估的影响.

结论:

  • 拟议的移动系统为路面状况监测提供了一个具有成本效益的解决方案.
  • 机器学习,特别是考虑速度的射频模型,对于检测路面异常是有效的.
  • 这项研究为路面维护部门提供了宝贵的见解.