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Record W1487938238 · doi:10.4271/2004-01-1103

Matching of Chassis and Variable Ratio Steering Characteristics to Improve High Speed Stability

2004· article· en· W1487938238 on OpenAlex
Andrew Heathershaw

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2004
Typearticle
Languageen
FieldEngineering
TopicMechanical Engineering and Vibrations Research
Canadian institutionsBishop's University
Fundersnot available
KeywordsChassisVariable (mathematics)Matching (statistics)Automotive engineeringStability (learning theory)Computer scienceControl theory (sociology)EngineeringMathematicsArtificial intelligenceStatisticsMechanical engineeringMachine learning

Abstract

fetched live from OpenAlex

<div class="htmlview paragraph">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.</div>

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.954
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.232
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it