Influence of tyre pressure on an urban bus transient and steady state handling performance
Bibliographic record
Abstract
The influence of the variation in the tyre inflation pressure on the steady state and transient handling dynamics of an urban bus are investigated through analysis of a three-dimensional (3D) vehicle model. A five-degrees-of-freedom handling dynamic model of the bus is formulated incorporating the non-linear models of the suspension components and the tyre. The vertical stiffness properties of the tyre are characterized through a regression model under normal load and the inflation pressure that was formulated on the basis of the laboratory measured data. The available tyre data on the cornering properties of tyres are analysed to derive a modified ‘magic formula’ for predicting the cornering properties as functions of the inflation pressure and the normal load. The proposed model responses showed reasonably good agreement with the available measured data over ranges of the inflation pressures and normal loads. The 3D handling dynamic model was subsequently analysed under sinusoidal and ramp-step steering inputs to study the influence of the tyre pressure on the steady state and transient handling responses. The results show notable influences of the tyre pressures on both the steady state and the transient handling properties.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".