Measurement and Analysis of Vibration in the Metropolitan Distribution Environment
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 study investigates vibration hazards in business-to-business goods distribution within metropolitan areas, focusing on the Greater Toronto Area, Canada. Existing global vibration research reflects different vehicle types, infrastructure, and travel conditions, potentially misaligning with the Canadian metropolitan shipping environment. This discrepancy can lead to improper packaging, increasing environmental and economic costs. Using a triaxial data recorder mounted on a medium-duty truck, this study captures vibrational data across various road classifications. Results indicate that overall vibration energy levels are generally lower than those reported in other regions, attributed to road infrastructure, vehicle suspension, and truck size. Vertical vibrations dominate, with the exceedance of standards occurring within the 10–12-Hz range. The findings highlight discrepancies between current vibration test spectra and real-world metropolitan distribution conditions. This study provides foundational data to support the development of a new test spectrum tailored to metropolitan goods distribution, optimizing packaging design for both sustainability and product protection.
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 | 0.002 | 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