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

Controller Configurations01:22

Controller Configurations

84
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...
84
Root-Locus Method01:19

Root-Locus Method

123
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...
123
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

115
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
115
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

94
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...
94
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

39
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
39
The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

7.2K
In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
7.2K

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

Serum IgG, definite anti-dsDNA positivity, and advanced HBV-related liver disease: a laboratory-based retrospective study.

Clinica chimica acta; international journal of clinical chemistry·2026
Same author

Advancing proteomic discovery through optimized multi-stage scoring and deep learning-enhanced open search.

Bioinformatics (Oxford, England)·2026
Same author

Molecular characterization and correlation with β-lactam resistance of penicillin-binding protein2x, 2b, and 1a of <i>Streptococcus pneumoniae</i> in clinical pneumococcal isolates.

Microbiology spectrum·2026
Same author

Magnetic Resonance Spectroscopy Deep Learning with Magnetic Resonance Background Generator Enables In Vivo Metabolite Quantification of Hepatic Encephalopathy.

IEEE transactions on bio-medical engineering·2026
Same author

Epimedii Folium Supplementation Improves Semen Quality, Hormonal Profile, and Immune Function by Modulating Gut Microbiota and Seminal Metabolites in Aged Boars.

Animals : an open access journal from MDPI·2026
Same author

PolyMamba-Net: a lightweight and boundary-aware network for real-time polyp segmentation in colonoscopy.

Frontiers in medicine·2026

相关实验视频

Updated: May 30, 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

基于风险量化的自适应式巡航控制及其在信号交叉点接近行为中的应用.

Haozhan Ma1, Chen Qian1, Linheng Li1

  • 1School of Transportation, Southeast University, Nanjing, Jiangsu Province 211189, PR China; Institute on Internet of Mobility, Southeast University and University of Wisconsin-Madison, Southeast University, Nanjing, Jiangsu Province 211189, PR China.

Accident; analysis and prevention
|January 29, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了基于风险的自适应巡航控制 (RACC) 连接和自动驾驶汽车 (CAV) 以减少信号上的交通振荡. RACC显著减少了延误和燃料消耗,改善了交通流量和安全.

关键词:
连接和自动化车辆混合流量流的混合流量流.由模型驱动的模型.稳定性分析 稳定性分析

更多相关视频

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

4.9K
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: May 30, 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
WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

4.9K
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
  • 控制理论 控制理论
  • 汽车工程 汽车工程

背景情况:

  • 交通信号引发停止和继续行为,危及交通安全,效率和燃油经济.
  • 互联和自动驾驶汽车 (CAV) 为缓解这些问题提供了潜在的解决方案.

研究的目的:

  • 开发和评估一种新的基于风险的自适应式巡航控制 (RACC) 系统,用于CAV.
  • 为了最大限度地减少交通波动,并提高信号交叉点的性能.

主要方法:

  • RACC将交叉约束模型作为风险,确保适应性和合规性.
  • 理论分析证实了弦的稳定性和过度缩的特性.
  • 模拟验证了RACC在各种交通条件和市场透率 (MPR) 下的性能.

主要成果:

  • 通过及时基于风险的调整,RACC确保了排队安全和高吞吐量.
  • 配备RACC的CAV表现出平稳的轨迹,减少风险,延误和燃料消耗.
  • 观察到显著的减少:旅行时间延迟高达87.1%,燃油消耗高达54.8%.

结论:

  • RACC有效地减轻了信号交叉点的交通波动.
  • 该系统显示了比现有方法显著的计算效率和性能改进.
  • 未来的研究应该在复杂的场景中探索RACC,例如多车道道路和变车道.