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Related Concept Videos

Controller Configurations01:22

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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...
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Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

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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...
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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.
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Related Experiment Video

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Can We Study Autonomous Driving Comfort in Moving-Base Driving Simulators? A Validation Study.

Hanna Bellem, Malte Klüver, Michael Schrauf

  • 1Daimler AG, Sindelfingen, Germany.

Human Factors
|December 23, 2016
PubMed
Summary
This summary is machine-generated.

Researchers validated moving-base driving simulators for studying autonomous driving comfort. One simulator configuration proved behaviorally valid, with results depending on motion system parameterization for accurate comfort assessments.

Keywords:
autonomous drivingbehavioral validitydriving simulationimmersive environmentsmultisensory integrationtrust in automationusability/acceptance measurement and researchvehicle automationvehicle designvirtual environmentsvisual-vestibular integration

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Area of Science:

  • Human-Computer Interaction
  • Automotive Engineering
  • Psychology

Background:

  • Driving comfort is crucial for autonomous vehicles, necessitating research in simulated environments.
  • Existing research lacks validation for simulator-based studies on autonomous driving comfort compared to real-world driving.
  • Moving-base simulators offer a safe platform for evaluating perceived comfort in autonomous driving scenarios.

Purpose of the Study:

  • To assess the behavioral validity of two moving-base simulator configurations for studying autonomous driving comfort.
  • To compare simulator-based comfort assessments with those conducted in a real-world test-track setting.
  • To establish a basis for reliable research on autonomous driving comfort using driving simulators.

Main Methods:

  • Seventy-two participants experienced six parameterized lane-change and deceleration maneuvers.
  • Comfort ratings were collected for each maneuver across a test-track setting and two distinct moving-base simulator configurations.
  • Behavioral validity was assessed by contrasting simulator results with the real-world test-track data.

Main Results:

  • One of the two tested moving-base simulator configurations demonstrated relative and absolute behavioral validity.
  • Simulator validity was found to be highly dependent on the specific parameterization of the motion system.
  • Analysis indicated that simulator validity is contingent upon how motion cues are scaled.

Conclusions:

  • Moving-base simulators are viable research tools for investigating driving comfort in autonomous vehicles.
  • Optimal results require specific motion cue scaling, with a preference for subunity factors (50-60%) for lateral and longitudinal motion.
  • Underestimation of speed in virtual environments may explain the need for adjusted motion scaling factors.