Effect of Tractor-Semitrailer Velocity on Cornering Braking Stability
Bibliographic record
Abstract
A dynamic model of tractor-semitrailer cornering braking was established in this paper. The accuracy of the model was tested and verified by comparing model output with data of tractor-semitrailer test. By model simulation of the cornering braking process, initial speed such as 20km/h, 25km/h, 30km/h, 35km/h, 40km/h was chosen to analyzed the changing curve of braking distance, articulation angle, yaw rate and lateral acceleration. The result shows that during cornering braking of tractor-semitrailer, with the increasing of initial speed, braking distance greatly increased, articulation angle, yaw rate and lateral acceleration are all increasing. Thus, when braking in a turn, the vehicle speed must be reduced to ensure the stability of tractor-semitrailer cornering braking.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".