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相关概念视频

Survey Safety01:28

Survey Safety

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Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
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Design Consideration01:22

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Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
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使用基于多源传感数据的极端值模型对重型车辆驾驶员的安全评估

Chenxiao Zhang1, Yongfeng Ma2, Tarek Sayed3

  • 1School of Transportation, Southeast University, Nanjing 211189, China; Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Nanjing 211189, China; Department of Civil Engineering, The University of British Columbia, Canada.

Accident; analysis and prevention
|August 26, 2025
PubMed
概括

这项研究引入了使用极端价值建模的重型车辆的新安全框架. 它确定了有效预测和管理事故风险的关键驱动指标和门.

关键词:
极端价值模型重型车辆多源传感数据安全评估替代安全措施

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科学领域:

  • 运输工程
  • 数据科学
  • 风险管理

背景情况:

  • 智能网络平台收集重型车辆的多源传感数据,以确保安全.
  • 现有的碰撞风险管理和安全评估方法不能充分利用这些驾驶数据.

研究的目的:

  • 为重型车辆提出新的安全评估框架.
  • 制定确定崩风险值和分析指标依赖性的方法.

主要方法:

  • 采用极端价值建模,包括基于单变量和双变量的物流模型.
  • 在3,452个重型车辆行程的数据集中应用了区块最大模型.
  • 对于速度变动的随机波动 (速度-Vf) 和冲动的确定的值.

主要成果:

  • 速度-Vf和冲动是重型车辆驾驶风险评估的有效指标.
  • 没有负载的条件和高分心/疲劳警告增加了碰撞的风险.
  • 确定了速度-Vf和Jerk的最佳值以进行撞击估计.

结论:

  • 拟议的框架有效评估重型车辆的安全性.
  • 双变量模型提供比单变量模型更可靠的撞车风险估计.
  • 这项研究强调了分析共同概率对于准确的风险评估的重要性.