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相关概念视频

Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
395
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

456
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
456
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

329
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
329
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

481
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
481
Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

12.0K
When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...
12.0K
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

347
A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
347

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相关实验视频

Updated: Jun 21, 2025

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
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基于自动驾驶环境下的风险程度的合作运动优化.

Miaomiao Liu1, Mingyue Zhu1, Minkun Yao1

  • 1School of Transportation Science and Engineering, Beihang University, Beijing 100191, China.

Sensors (Basel, Switzerland)
|July 13, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了在十字路口的自动驾驶汽车 (AV) 合作运动优化策略. 该策略通过根据碰撞风险调整AV轨迹来提高交通效率和安全,优于传统方法.

关键词:
自动驾驶汽车是自动驾驶的合作战略 合作战略运动优化,运动优化.风险程度的风险程度的风险.交通模拟的交通模拟.

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科学领域:

  • 智能运输系统 智能运输系统
  • 自动驾驶车辆导航自动驾驶车辆导航
  • 交通工程是交通工程.

背景情况:

  • 交叉路口的交通拥堵是智能交通系统的一个主要挑战.
  • 优化交通流量和确保自动驾驶汽车 (AV) 的安全需要先进的策略.
  • 目前的方法可能无法完全解决交叉点的AV相互作用的复杂性.

研究的目的:

  • 开发一个合作的动作优化战略,在十字路口的AVs.
  • 通过尽量减少碰撞风险,提高交通效率和安全.
  • 为了提高运输网络内AV加速的稳定性.

主要方法:

  • 创建AV轨迹,考虑所有可能的出口车道.
  • 实施基于风险度的运动优化算法,以避免碰撞.
  • 制定具有约束力的合作战略,包括汽车追踪,交通信号和冲突解决.

主要成果:

  • 在典型的场景中,交通效率提高了20.51%和11.59%,而不是先到先得.
  • 在优化AV加速的稳定性显著提高.
  • 通过SUMO模拟验证合作战略.

结论:

  • 拟议的合作运动优化战略有效地提高了交叉路口的交通效率和安全性.
  • 基于风险程度的方法提供了一个强大的方法,用于防止AVS之间的碰撞.
  • 该战略展示了智能交通系统中更稳定,更高效的自动驾驶汽车运行潜力.