Active Variable Wheelbase as an Innovative Approach in Vehicle Dynamic Control
Bibliographic record
Abstract
Active variable wheelbase (AVW) has been introduced here as an innovative vehicle dynamic control method in which, the position of the front or rear axle relative to the vehicle C.G. can be actively varied. An attempt has been made to show the potential capabilities of this method in improving the road handling and stability of vehicles regardless of its embedded technical difficulties. For this purpose the proposed method has been conceptually studied in the first step and has been shown that one can generate the stabilizing yaw moment by changing the distance of the vehicle C.G. from the front or rear axles. Then the proposed concept has been theoretically studied using a simple vehicle dynamic model incorporated with the Magic Formula tire model. A comprehensive nonlinear 8 DOF vehicle model and a ‘model following control strategy’ have been used to evaluate the performance of AVW systems. The vehicle dynamic behavior when it is either uncontrolled or equipped with an AVW system has been simulated. Simulation results show that AVW can be considered as an innovative method for vehicle dynamic control in future.
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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 | 0.000 |
| 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 | 0.001 | 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".