Matching of Chassis and Variable Ratio Steering Characteristics to Improve High Speed Stability
Bibliographic record
Abstract
Although a vehicle with understeer is defined as a stable system, above the characteristic speed there is a reduction in yaw damping which can lead to highly oscillatory response particularly at high steering frequency inputs associated with an avoidance manoeuvre. Research was conducted to study the effect of reducing the amount of understeer to increase the characteristic speed and hence make the vehicle response less steering frequency dependent at high speed. However this also had the effect of increasing the yaw gain with regards to the steering wheel input. The yaw gain was then tuned to achieve different targets through the use of Variable Ratio (VR) steering mechanisms. This study included both a physical test of a vehicle tuned to achieve different understeer coefficients and the confirmation of the results using a vehicle model to confirm transient effects. The work indicates that by reducing the degree of understeer in conjunction with the application of a VR steering characteristic, the vehicle can be made more stable in a high speed avoidance situation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".