Simulation Fidelity Rating

Not All Simulation Is the Same

Some systems train correct reactions.
Others train delay.

Simulation is not defined by how much a system moves, how large the visuals are, or how immersive it appears. It is defined by whether the system delivers motion, timing, and sensory alignment in a way the brain recognizes as real.

Definition Architecture Measurement Classification Consequences Impact Evaluation Determination
The Reality

The Reality

The issue is not movement alone. The issue is whether the system delivers correct timing, motion origin, and sensory alignment.

What Most Simulators Get Wrong →

There Are Only Two Types of Simulation


In-the-Loop

In-the-Loop

  • Physics drives the motion
  • Motion is aligned to the vehicle's center of mass
  • Degrees of freedom are independent
  • Vestibular cues lead perception
  • The driver exists inside the environment
Surface-Level / Out-of-the-Loop

Surface-Level / Out-of-the-Loop

  • Motion is added after the fact
  • Axes are mechanically coupled or absent
  • Visuals dominate perception
  • Vestibular timing is delayed or missing
  • The driver exists in front of the environment

If the physics are not in the loop, neither is the driver.

Structural Comparison

In-the-Loop vs Surface-Level


Criterion In-the-Loop Surface-Level / Out-of-the-Loop
Motion Origin Driven directly by vehicle physics state Applied as effect; not derived from state
Center-of-Mass Alignment Motion resolved at the vehicle's true center of mass Rotation occurs at incorrect point; not CoM-referenced
Degrees of Freedom Independent axes; each resolves separately and correctly Coupled or blended; axes cannot be independently isolated
Yaw Fidelity Present, continuous, and correctly timed Absent, delayed, or approximated
Vestibular Validity Physical cues match vehicle event timing Cues absent, approximated, or delayed
Training Outcome Correct timing and response patterns trained Delayed, visual-dependent, or incorrect patterns trained

A Standard for Understanding Simulation


Simulation must be defined before it can be measured, measured before it can be classified, and classified before its consequences can be understood.

A Standard, Not an Opinion


This framework defines how simulation systems can be evaluated based on structure, motion, and training relevance. It is designed for engineers, researchers, and organizations seeking measurable clarity.

View Framework Documents →

Simulation Fidelity Rating (SFR)


SFR is a structured way to evaluate whether a simulation system delivers physically and neurologically valid training.

SFR = DOF + Vestibular Load + Sync + Unified Feel
This is not a style score. It is a training validity framework.
System Type SFR Profile Training Validity
True CoM Independent DOF System High Valid
Stewart Platform / Hexapod Limited Partial
Seat Mover Limited Partial
Static Simulator Low Invalid

Incorrect Simulation Has Consequences


Classification matters because simulation is not neutral. A system either reinforces correct timing and perception, or it trains deviation from them.

Delayed Reaction Timing

If the system introduces timing gaps between input and sensory response, the driver learns to act on a delayed signal.

Incorrect Muscle Memory

Repetition against wrong physical relationships builds responses that do not match the real vehicle.

Reduced Real-World Transfer

Training that does not preserve correct structural relationships cannot reliably transfer to real vehicle operation.

Compounded Correction Error

Each session in an incorrectly structured system reinforces the misalignment rather than correcting it.

If you train late, you react late.

View Consequences

Who This Matters To


Simulation quality affects far more than driver comfort or immersion. It affects training validity, decision timing, engineering interpretation, and neurological outcome.

Drivers Engineers Team Principals Parents Medical Professionals Sanctioning Bodies Buyers / Operators
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Explore the Standard


Simulation is not defined by spectacle.
It is defined by whether it matches reality.

If the timing is wrong, the training is wrong.

Application Layer

Request Evaluation

Apply the framework to a real system, environment, or use case through a structured review pathway.

For teams, facilities, researchers, and organizations seeking structured classification or review.

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