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相关概念视频

Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

778
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
778
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

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The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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PD Controller: Design01:26

PD Controller: Design

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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,...
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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

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Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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基于连接的车载数据的动态路段风险识别模型.

Yongjian Zhang1,2, Ge Yang3, Tian Xie4

  • 1School of Civil Engineering, Central South University of Forestry & Technology, Changsha, China.

PloS one
|October 6, 2025
PubMed
概括

本研究介绍了车载单元和贝叶斯网络模型,使用高级驾驶辅助系统 (ADAS) 数据识别道路风险. 这些模型通过分析驾驶行为和接近撞车事件,有效地评估路段风险.

科学领域:

  • 道路安全工程 道路安全工程
  • 交通运输 数据科学 数据科学
  • 交通运输中的人工智能

背景情况:

  • 先进的驾驶辅助系统 (ADAS) 为了解驾驶行为产生了有价值的数据.
  • 识别动态路段风险对于提高交通安全至关重要.
  • 现有的方法可能无法完全捕捉驾驶行为和道路风险之间的复杂相互作用.

研究的目的:

  • 开发一个动态系统来识别道路路段的风险.
  • 分析不同类型的道路 (城市,高速公路,高速公路) 驾驶行为和道路风险之间的关系.
  • 使用现实世界驾驶数据创建道路安全的预测模型.

主要方法:

  • 设计了一个车载单元,从配备ADAS的车辆收集动态驾驶行为数据.
  • 用定义的标准将道路划分为城市,高速公路和高速公路类别.
  • 利用贝叶斯网络 (BN) 模型,DBSCAN集群,以及近碰撞事件分析 (制动减速,碰撞时间).

主要成果:

  • 为城市道路,高速公路和高速公路开发了单独的BN模型.
  • 成功地根据严重程度识别和分类了接近撞车事件.
  • 匹配的驾驶行为数据和加权的接近碰撞事件来评估道路段的风险水平.

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  • 模型对观察到的数据节点表现出高灵敏度.
  • 结论:

    • 拟议的系统有效地使用动态驾驶数据识别路段风险.
    • 贝叶斯网络模型为分析驾驶行为和道路安全提供了强大的框架.
    • 这种方法为实时道路风险评估和主动安全措施提供了一个有希望的方法.