In any simulation, correlation is about trust in the numbers. For a DIL simulator to have value, the telemetry it produces - for example, steering angle traces, tyre slip angles, aerodynamic loads, and so on - must reflect reality within fine but acceptable margins. In addition, finite modeling variations must trend correctly, such that targeted changes are human-perceivable and of the correct magnitude. If a virtual car shows one behaviour and a real car another, decisions based on that data are without foundation.
However, achieving strong correlation is far from trivial. Good data alignment depends on three things: accurate vehicle and environment models, robust validation against physical test data and a simulator experience that ensures the driver behaves naturally enough that their interactions don’t distort virtual test driving results. This is why human factors and sensory realism matters in sims: it's not explicitly what correlation is due to the subjective nature – but these aspects affect correlation nonetheless.
In motorsport applications – as but one example – the best teams build correlation checks into everyday workflows. This means running regular comparison sessions, monitoring telemetry drift, and updating models as soon as new real-world data becomes available. A well-correlated simulator can become a trusted test environment for exploring bold ideas in a fraction of the time and cost of physical testing.
At Ansible Motion, correlation has always been our priority. We understand that all the hardware, software and computation systems that make up a simulator ecosystem all exist to produce interactive human experiences that mirror reality. Ultimately, this is what gives engineers the freedom to be engineers in simulator labs.
In modern vehicle developments and motorsport activities, engineering responsibilities have expanded across increasingly complex systems, and timelines have simultaneously – and paradoxically – been compressed. Driver-in-the-Loop simulators represent one engineering tool for tackling these challenges – DIL simulation is one tool that is incredibly effective and efficient when it’s correlated, trusted and reliable.
Read the full article on the Engineering Magazine website.