An optimal preview driver model applied to a non-linear vehicle and an impaired driver
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.
Bibliographic record
Abstract
This paper proposes an improved driver model based on the one introduced by MacAdam in 1981 where optimal preview control is applied. The details of the optimal preview driver model are derived. The modified model incorporating the steering angle into the performance index is used to compute the steering input. The parameters associated with reaction time and preview time characterize the adaptation of the driver to the changes of the vehicle, the road and the environment. The modified model exhibits better performance and its parameters are well related to the performance of the driver. The driver model is then coupled with a non-linear vehicle. Initial tests are performed to identify the driver’s parameters. The coupling of the driver and the non-linear vehicle introduces enhanced path-following. An impaired driver model can be obtained by reducing the optimal parameters. When the safety criteria are chosen, the threshold for safe driving is identified.
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 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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it