An impaired driver model for safe driving by control of vehicle parameters
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
Abstract This paper presents the results of the investigation on a driver model that can be adjusted to perform the role of an impaired driver (especially, an alcohol-affected driver) who exhibits the deterioration in driving skills in correlation with a specific level of impairment. The linear vehicle model providing lateral displacement and yaw is coupled with the driver model that is derived as a linear quadratic regulator with delay. The decrement of performance is modelled by decreasing parameters that are preview time, visual perception, control gains and increasing reaction time. By comparing the standard deviation of the lateral position between the model and the real driver, the performance of the driver model impaired at the blood alcohol concentrations of 0.05%, 0.08% and 0.11% results in deteriorations of 21%, 26% and 30%, respectively. The lateral error is reduced if the vehicle parameters are adjusted to adapt to the impaired driver model. Keywords: vehicle modeldriver modelimpaired driverlinear quadratic regulatordelay system
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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 | 0.000 | 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 | 0.000 | 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