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

Control Systems: Applications01:25

Control Systems: Applications

834
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...
834
Feedback control systems01:26

Feedback control systems

472
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...
472
Controller Configurations01:22

Controller Configurations

178
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...
178
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.1K
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
1.1K
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.8K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.8K
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

488
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
488

You might also read

Related Articles

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

Sort by
Same author

SR-LLM: An incremental symbolic regression framework driven by LLM-based retrieval-augmented generation.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

The anti-proliferative effects of a frankincense extract in a window of opportunity phase ia clinical trial for patients with breast cancer.

Breast cancer research and treatment·2024
Same author

The impact of nurse navigation on timeliness to treatment for benign high-risk breast pathology.

Breast cancer research and treatment·2023
Same author

Computational Efficient Motion Planning Method for Automated Vehicles Considering Dynamic Obstacle Avoidance and Traffic Interaction.

Sensors (Basel, Switzerland)·2022
Same author

Prognostic factors for residual occult disease in shave margins during partial mastectomy.

Breast cancer research and treatment·2021
Same author

Leadership Development in Academic Health Science Centers: Towards a Paradigm Shift.

Journal of healthcare leadership·2020

Related Experiment Video

Updated: Oct 5, 2025

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.6K

Experimental Evaluation of a Game-Theoretic Human Driver Steering Control Model.

Xiaoxiang Na, David J Cole

    IEEE Transactions on Cybernetics
    |January 25, 2022
    PubMed
    Summary

    A new game-theoretic driver steering model accurately represents human steering behavior in automated vehicles. This advanced model shows significant improvements over conventional methods for some drivers, enhancing road safety potential.

    More Related Videos

    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

    5.1K
    Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
    11:12

    Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects

    Published on: September 18, 2012

    17.5K

    Related Experiment Videos

    Last Updated: Oct 5, 2025

    Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
    07:15

    Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

    Published on: December 18, 2020

    4.6K
    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

    5.1K
    Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
    11:12

    Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects

    Published on: September 18, 2012

    17.5K

    Area of Science:

    • Automotive Engineering
    • Control Systems Theory
    • Human-Machine Interaction

    Background:

    • Automated vehicle steering control systems offer significant road safety benefits.
    • Accurate mathematical driver models are crucial for developing effective automated steering interventions.
    • Existing models may not fully capture human steering responses to automation.

    Purpose of the Study:

    • To experimentally evaluate a novel game-theoretic driver steering control model.
    • To compare the performance of the game-theoretic model against a conventional optimal-control-theoretic model.
    • To assess the models' ability to represent real human steering behavior during automated steering intervention.

    Main Methods:

    • Developed a game-theoretic driver model based on Nash equilibrium for driver-automated controller interaction.
    • Identified model parameters by fitting to steering behavior data from six human subjects in a driving simulator experiment.
    • Evaluated model performance by comparing fitting errors against a conventional optimal-control-theoretic driver model.

    Main Results:

    • The game-theoretic driver model demonstrated statistically significant superiority in representing the steering behavior of three out of six subjects.
    • For the remaining three subjects, both the game-theoretic and conventional models performed with statistically equivalent accuracy.
    • The study provides empirical evidence for the effectiveness of game-theoretic approaches in driver modeling.

    Conclusions:

    • The game-theoretic driver steering model offers a more accurate representation of human steering behavior compared to conventional models for a subset of drivers.
    • This improved accuracy has implications for the design and implementation of safer and more intuitive automated vehicle systems.
    • Further research can explore the factors influencing individual differences in model performance and refine game-theoretic strategies for human-automation interaction.