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相关概念视频

SFG Algebra01:16

SFG Algebra

138
In Signal Flow Graph (SFG) algebra, the value a node represents is determined by the sum of all signals entering that node. This summed value is then transmitted through every branch leaving the node, making the SFG a powerful tool for visualizing and analyzing control systems.
Each node in an SFG corresponds to a variable, and the interactions between nodes are represented by branches with associated gains. When multiple branches lead into a node, the value at that node is the sum of the...
138
Signal Flow Graphs01:18

Signal Flow Graphs

255
Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
In a signal-flow graph, branches denote the system's transfer functions, while nodes represent the signals. The direction of signal flow is indicated by arrows, with the corresponding...
255
PD Controller: Design01:26

PD Controller: Design

282
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,...
282
Block Diagram Reduction01:22

Block Diagram Reduction

244
The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
244
The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

258
Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk​, phase angle δk​, real power Pk​, and reactive power Qk​. Two of these four variables are inputs, while the...
258
Manipulation and Analysis01:21

Manipulation and Analysis

43
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
43

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相关实验视频

Updated: Jul 19, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
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分析车辆流量,并使用信号分布控制算法最大限度地减少车辆队列等待时间.

Srinivasagam Solaiappan1, Bharathi Ramesh Kumar2, N Anbazhagan3

  • 1Department of Mathematics, Anna University, University College of Engineering, Ramanathapuram 623513, Tamilnadu, India.

Sensors (Basel, Switzerland)
|August 12, 2023
PubMed
概括

本研究介绍了一种算法,用于估计城市交通系统中的车辆等待时间. 拟议的交通信号控制方法提高了交通流量的效率,并减少了延误.

关键词:
在 MATLAB 中编码.在TSM模式下,使用TSM模式.数据收集中断 交叉路口数据收集中断信号参数 信号参数车辆交通分类的车辆交通分类.车辆交通拥堵 车辆交通拥堵车辆交通检测系统 车辆交通检测

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科学领域:

  • 智能运输系统 智能运输系统
  • 交通工程是交通工程.
  • 控制理论 控制理论

背景情况:

  • 实时车辆交通系统对于城市移动至关重要,它提出了复杂的分布式控制挑战.
  • 有效的交通信号控制对于管理多方面的交通网络和确保高效的服务流程至关重要.
  • 协调车辆流量,特别是在多车道的场景中,需要仔细考虑控制参数,如时间和车辆体积.

研究的目的:

  • 开发和评估一个算法来估计车辆等待时间在不同的方向在一个交通网络.
  • 提出一个优化的车辆交通信号分配控制系统.
  • 提高城市车辆交通流量的效率和协调.

主要方法:

  • 检查车辆交通流动的动态.
  • 开发一种算法,根据交通参数估计车辆等待时间.
  • 交通信号分配控制系统的实施和数值说明.
  • 通过将拟议系统与实时车辆交通系统进行比较进行实验验证.

主要成果:

  • 拟议的算法准确地估计了车辆等待时间.
  • 开发的交通信号控制系统在管理交通流量方面表现出有效性.
  • 实验结果验证了拟议系统在现有实时交通系统上的优势.
  • 数字插图证实了该系统的性能和适用性.

结论:

  • 开发的算法和控制系统为优化城市车辆交通提供了可行的解决方案.
  • 有效的交通信号分配可以显著减少车辆等待时间,提高整体交通效率.
  • 这些发现有助于推进智慧城市的智能交通系统.