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相关概念视频

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

105
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
105
Root-Locus Method01:19

Root-Locus Method

141
A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block...
141
Controller Configurations01:22

Controller Configurations

90
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
90
PD Controller: Design01:26

PD Controller: Design

208
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,...
208
Control Systems: Applications01:25

Control Systems: Applications

588
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
588
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

47
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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相关实验视频

Updated: Jun 18, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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在智能城市中,指令运输在不同的点上具有线路连接,使用模式控制算法.

Shitharth Selvarajan1, Hariprasath Manoharan2, Alaa O Khadidos3,4

  • 1School of Built Environment, Engineering and Computing, Leeds Beckett University, LS1 3HE, Leeds, UK. ShitharthS@kdu.edu.et.

Scientific reports
|August 2, 2024
PubMed
概括

这项研究介绍了一种智能交通系统,以减少智慧城市的交通拥堵. 拟议的模型优化了公共交通,大大缩短了用户等待时间,改善了交通流动.

关键词:
模式控制控制方式这是一个点对点协议.智慧城市是智慧城市.运输 运输 运输 运输 运输

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科学领域:

  • 智能运输系统 智能运输系统
  • 智慧城市发展 智慧城市发展
  • 运营研究 运营研究

背景情况:

  • 智能城市的快速城市化加剧了交通拥堵.
  • 有效的公共交通对于管理城市流动性和人口增长至关重要.
  • 现有的系统面临着尽量减少用户等待时间和确保无运输操作的挑战.

研究的目的:

  • 开发和评估智能交通系统,以增强智慧城市的功能.
  • 为了减少交通拥堵,并尽量减少最终用户的等待时间.
  • 提高公共交通系统的运营效率.

主要方法:

  • 利用了集成点对点协议和模式控制优化的参数设计模型.
  • 应用多目标参数设计与min-max函数以尽量减少等待时间.
  • 整合了连接,识别和振兴功能的连接,识别和振兴功能.

主要成果:

  • 拟议的系统实现了96%适合智能运输单元的定向流量.
  • 延误减少了2%,等待时间减少了6%.
  • 由于系统改进,能源消耗增加了29%.

结论:

  • 智能交通系统通过减少拥堵,有效地提高了智能城市的流动性.
  • 优化的设计通过减少等待时间显著改善了用户体验.
  • 进一步的研究可能会探索可持续的智慧城市交通的能源效率权衡.