Evaluation of Weigh-In-Motion Systems in Alberta
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
Weigh-In-Motion (WIM) systems are used for dynamic traffic data collection. These sensors are capable of collecting various truck characteristics such as weights, speed, and dimensions. Alberta Transportation (AT) installed 20 WIM sensors in six different highway sections across Alberta in 2004. The accuracy of these measurements and their effects on pavement design is evaluated in this thesis. To investigate the accuracy of the WIM sensors a verification test was conducted on the sensors from 2004 to 2010. The errors in the WIM sensors’ measurements were estimated. Statistical analysis was performed on the database of errors. Statistical analysis on the verification test program database showed that WIM weight errors do not comply with current standards and there is a need to improve the system. The new predicted pavement performance results from the Mechanistic Empirical Pavement Design Guide (MEPDG) showed that local WIM traffic data inputs should be used for Alberta highways.
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) | 0.000 | 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