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Updated: May 28, 2025

Assessing the Autonomic and Behavioral Effects of Passive Motion in Rats using Elevator Vertical Motion and Ferris-Wheel Rotation
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Frequency Shaping-Based Control Framework for Reducing Motion Sickness in Autonomous Vehicles.

Soomin Lee1, Chunhwan Lee2, Chulwoo Moon2

  • 1Department of Future Mobility Convergence, Chonnam National University, Gwangju 61186, Republic of Korea.

Sensors (Basel, Switzerland)
|February 13, 2025
PubMed
Summary
This summary is machine-generated.

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This study developed a new control strategy to reduce motion sickness in electric autonomous vehicles (EAVs). The method significantly improves ride comfort by reducing motion sickness dose value (MSDV) during autonomous driving.

Area of Science:

  • Automotive Engineering
  • Control Systems
  • Human Factors

Background:

  • Motion sickness is a significant challenge for passenger comfort in autonomous vehicles.
  • Existing control strategies often do not adequately address motion sickness-inducing frequencies.
  • Electric Autonomous Vehicles (EAVs) present unique control challenges for ride comfort.

Purpose of the Study:

  • To introduce and evaluate a novel control strategy for reducing motion sickness in EAVs.
  • To enhance overall ride comfort and passenger experience in autonomous driving.
  • To maintain robust path-following performance while mitigating motion sickness.

Main Methods:

  • Adaptive adjustment of look-ahead distance for lateral control based on Motion Sickness Dose Value (MSDV) analysis (ISO 2631-1).
Keywords:
autonomous vehicleband-stop filtermotion sicknesspath-followingride comfort

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  • Application of Linear Quadratic Regulator (LQR) optimal control for longitudinal acceleration minimization.
  • Implementation of a band-stop filter to attenuate motion-sickness-inducing frequencies in acceleration signals.
  • Main Results:

    • Significant reduction in MSDV from 16.3 to 10.46, an improvement of up to 35.8%.
    • Effective mitigation of lateral acceleration and its motion-sickness-related frequency components.
    • Consistent lane adherence maintained throughout path-following tasks, despite a slight increase in lateral position error.

    Conclusions:

    • The proposed control strategy effectively reduces motion sickness in EAVs.
    • The method offers a promising approach to enhance ride comfort without compromising essential driving performance.
    • This research contributes to the development of more passenger-friendly autonomous vehicles.