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相关概念视频

Decision Making: P-value Method01:09

Decision Making: P-value Method

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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
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Uncertainty: Overview00:59

Uncertainty: Overview

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In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
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Decision Making: Traditional Method01:14

Decision Making: Traditional Method

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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
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Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

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Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
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Uncertainty: Confidence Intervals00:54

Uncertainty: Confidence Intervals

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The confidence interval is the range of values around the mean that contains the true mean. It is expressed as a probability percentage. The interpretation of a 95% confidence interval, for instance, is that the statistician is 95% confident that the true mean falls within the interval. The upper and lower limits of this range are known as confidence limits. The confidence limits for the true mean are estimated from the sample's mean, the standard deviation, and the statistical factor...
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Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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相关实验视频

Updated: Jun 16, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
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使用可解释的深度学习和不确定性量化,在无保护的左转过程中建模决策.

Yubin Chen1, Yajie Zou1, Jun Liu2

  • 1Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, China.

Accident; analysis and prevention
|June 13, 2025
PubMed
概括
此摘要是机器生成的。

司机在无保护的左转时面临复杂的决策. 这项研究量化了决策不确定性,揭示了更高的不确定性与增加的风险和不安全的机动有关,影响自动驾驶汽车的安全.

关键词:
决策不确定性 决策不确定性司机决策的过程交叉路口的安全安全.时间压力时间压力.没有保护的左转.

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科学领域:

  • 交通安全 交通安全
  • 人与计算机的交互
  • 自主系统 自主系统

背景情况:

  • 不受保护的左转是复杂的驾驶场景,需要独特的决策.
  • 现有的模型往往忽视了信息变化和内在决策机制.
  • 了解在不确定性下驾驶员的决策对于道路安全至关重要.

研究的目的:

  • 通过决策不确定性的透视来分析驾驶员在不受保护的左转时的决策.
  • 探索决策不确定性与驾驶安全之间的关系.
  • 确定影响左转决策的关键变量并量化不确定性.

主要方法:

  • 冲突区域计算以确定相互作用事件.
  • 变压器模型和沙普利添加式解释,以确定关键决策变量.
  • 詹森-香农分歧来量化决策不确定性.

主要成果:

  • 左转车辆优先考虑静态变量 (等待时间,车辆类型);相对车辆关注动态变量 (停车时间,速度差异).
  • 时间压力增加了侧向速度和曲折角度的重视.
  • 更高的不确定性与更长的谈判时间,更短的侵占后时间以及紧急制动的可能性增加有关.

结论:

  • 决策不确定性是无保护左转安全的一个关键因素.
  • 洞察力为自动驾驶汽车的决策框架提供信息,以实现更安全的导航.
  • 在无保护的左转中,驾驶员的行为受到静态和动态变量的复杂相互作用的影响.