Coordinated Model Predictive Control of Active Trailer Safety Systems for Multi-Trailer Articulated Heavy Vehicles
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
Multi-trailer articulated heavy vehicles (MTAHVs) are widely used in North America and some European countries. However, due to multi-unit structures, larger sizes, and higher center of gravity compared with cars, MTAHVs exhibit poorer low-speed maneuverability and worse high-speed directional stability especially in low-friction road surface condition or emergency driving scenarios like obstacle avoidance. Passive safety systems, e.g., command steering utilized in trailers, may improve the maneuverability at low speeds; however, at high speeds they even exacerbate the lateral stability. Active safety systems categorized as reactive safety systems (RSSs) are not effective for preventing road accidents from happening, because they may only consider the current vehicle states, and not take future states into account. These RSSs, thus, may neither remove nor correct human driver errors during vehicle operations.
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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.022 | 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