Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

198
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
198
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

128
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...
128
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

180
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...
180
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

121
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...
121
Controller Configurations01:22

Controller Configurations

171
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...
171
Load-frequency control01:28

Load-frequency control

279
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
279

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Detection of Colorectal Cancer in Circulating Cell-Free DNA by Methylated CpG Tandem Amplification and Sequencing.

Clinical chemistry·2019
Same author

Strong system-bath coupling induces negative differential thermal conductance and heat amplification in nonequilibrium two-qubit systems.

Physical review. E·2019
Same author

Author Correction: Photonic Spin Hall Effect in Waveguides Composed of Two Types of Single-Negative Metamaterials.

Scientific reports·2019
Same author

A novel genotype-based clinicopathology classification of arrhythmogenic cardiomyopathy provides novel insights into disease progression.

European heart journal·2019
Same author

Synthesis, biological evaluation, and structure activity relationship (SAR) study of pyrrolidine amide derivatives as <i>N</i>-acylethanolamine acid amidase (NAAA) inhibitors.

MedChemComm·2019
Same author

Immunomodulatory effect of oleoylethanolamide in dendritic cells via TRPV1/AMPK activation.

Journal of cellular physiology·2019

Related Experiment Video

Updated: Sep 28, 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

20.6K

An en route capacity optimization model based on air traffic control process.

Jie Ren1,2, Shiru Qu1, Lili Wang2

  • 1School of Automation, Northwestern Polytechnical University, Xi'an 710072, China.

Mathematical Biosciences and Engineering : MBE
|March 28, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces an en route air traffic control model to reduce flight times and controller workload. The model improves en route air traffic capacity by optimizing operations and reducing congestion.

Keywords:
air traffic control automationair traffic control instructionsen route capacity

More Related Videos

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

3.5K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.1K

Related Experiment Videos

Last Updated: Sep 28, 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

20.6K
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

3.5K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.1K

Area of Science:

  • Air Traffic Management
  • Operations Research
  • Automation Systems

Background:

  • Airspace congestion and demand-capacity imbalances challenge current air traffic management.
  • The need for advanced air traffic control automation systems is growing.

Purpose of the Study:

  • To propose an en route air traffic control process model based on operational requirements.
  • To optimize air traffic control by minimizing operation time, instantaneous density, and controller workload.

Main Methods:

  • Developed an algorithm considering air traffic control schemes and instructions (climb, descent, speed restrictions).
  • Modeled the complete air traffic control process, incorporating historical aircraft trajectory data.
  • Utilized optimization objectives including operation time, instantaneous density, lateral displacement, and controller workload.

Main Results:

  • Reduced total operation time by 18.6% compared to actual operations.
  • Significantly decreased variance in lateral displacement and vertical separation.
  • Improved en route air traffic capacity and balanced traffic flow density.

Conclusions:

  • The model effectively addresses operational requirements in air traffic control.
  • It enhances efficiency, reduces workload, and alleviates flight conflicts.
  • The integration of historical data and controller command processes represents a key innovation.