Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

PD Controller: Design01:26

PD Controller: Design

193
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,...
193
Feedback control systems01:26

Feedback control systems

288
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
288
Control Systems: Applications01:25

Control Systems: Applications

578
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...
578
Control Systems01:10

Control Systems

1.1K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.1K
Control System Problem01:21

Control System Problem

108
In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
108
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

98
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...
98

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Frame-Based Randomized Scheduling of Packets with Random-Deadlines for Multi-Flow Wireless Networks.

Ad hoc networks·2019
Same author

Effects of wireless packet loss in industrial process control systems.

ISA transactions·2017
Same journal

Towards Deep Transfer Learning in Industrial Internet of Things.

IEEE internet of things journal·2026
Same journal

Remotely Controlled Continuous Surveillance of Viral RNA in Wastewater Using a LoRa Network.

IEEE internet of things journal·2026
Same journal

Ground Reaction Force Estimation via Time-aware Knowledge Distillation.

IEEE internet of things journal·2025
Same journal

REDA: A Real-Time Event-Detection Approach To Minimize IoT Visual Data Generation With Computation Efficiency.

IEEE internet of things journal·2025
Same journal

Uncertainty-aware Topological Persistence Guided Knowledge Distillation on Wearable Sensor Data.

IEEE internet of things journal·2025
Same journal

Engagement-free and Contactless Bed Occupancy and Vital Signs Monitoring.

IEEE internet of things journal·2024
查看所有相关文章

相关实验视频

Updated: Jun 7, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.3K

采用网络物理系统:在路口交叉点进行动态交通信号控制.

Ossama Younis1, Nader Moayeri2

  • 1Smart Streets LLC, Rockville, MD 20850 USA.

IEEE internet of things journal
|November 13, 2024
PubMed
概括
此摘要是机器生成的。

动态交通信号控制 (DTLC) 使用传感器将信号适应实时交通,减少车辆等待时间和拥堵. 这种智能交通信号灯系统优化了流量,以实现高效的城市交通.

关键词:
分布式算法 分布式算法传感器网络 传感器网络智慧城市是智慧城市.交通流量优化 交通流量优化交通信号灯 (TL) 控制器

更多相关视频

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.2K
Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
06:38

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior

Published on: June 9, 2020

4.8K

相关实验视频

Last Updated: Jun 7, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.3K
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.2K
Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
06:38

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior

Published on: June 9, 2020

4.8K

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.
  • 计算机科学 计算机科学

背景情况:

  • 传统的交通信号灯按照固定的时间表运行,无法适应动态的交通条件和拥堵.
  • 目前的交通控制系统缺乏响应能力,导致交通流量效率低下,车辆延误增加.

研究的目的:

  • 建议在道路交叉点进行动态交通信号灯控制 (DTLC) 的新框架.
  • 开发低开销算法,用于实时流量数据处理和拥堵管理.
  • 为了优化流量流量指标,包括吞吐量,等待时间和队列长度.

主要方法:

  • 实施传感器网络,用于全面收集交通数据.
  • 开发和应用用于动态交通信号调整的新型协议.
  • 在各种交通场景下分析和模拟DTLC框架.

主要成果:

  • 在流量吞吐量方面表现出显著的改善.
  • 展示了平均车辆等待时间的减少.
  • 验证了DTLC在尽量减少排队长度方面的有效性.

结论:

  • 拟议的动态交通信号灯控制 (DTLC) 框架为优化城市交通流量提供了切实可行的解决方案.
  • DTLC系统对于智能城市和智能交通基础设施的发展至关重要.
  • 这项研究为智能交通管理系统的未来进步提供了基础.