Hauling with Full Axle Weights and Reduced Tire Pressures on Weight-Restricted Roads in British Columbia
Bibliographic record
Abstract
In North America, imposition of seasonal weight restrictions on thaw-weakened secondary roads may interrupt transport of raw materials to processing facilities for 6 to 12 weeks or even longer. This annual disruption forces processing facilities to operate from stockpiled inventory and typically results in large extra costs for both the processing facility and trucks. The Forest Engineering Research Institute of Canada (FERIC) has been investigating the potential for shortening the weight restriction period (i.e., lengthening the period for hauling with full, legal weights) on secondary roads by hauling with road-friendly trucks. FERIC developed a modeling process to estimate when fully loaded trucks equipped with road-friendly technologies, such as multiple axle groups, large tires, or tire pressure control systems (TPCS), could resume hauling on thaw-weakened pavements without accelerating pavement damage. From 2000 to 2003, FERIC used this modeling process to conduct full-scale tests on a variety of thin pavements in British Columbia, Canada. During these tests, fully loaded log trucks were able to haul during the last 3 to 5 weeks of the weight restriction period with no measurable increase in pavement rutting or cracking. In 2004, the British Columbia Ministry of Transportation introduced a program to exempt trucks operating with TPCS from seasonal weight restrictions on approved roads in British Columbia. FERIC, in cooperation with several forest companies, conducted operational hauling under the new program in spring 2004 and 2005. The operations experienced from 2 to 8 weeks extra hauling during the weight restriction period, with no acceleration of road damage.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".