Temporary Haul Road Layout Design Optimization Based on a Rough Grading Project
Why this work is in the frame
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Bibliographic record
Abstract
Temporary haul roads are typically designed and constructed to handle mass earthworks in heavy civil and industrial construction, critical to achieving haulage efficiency and safety in earthmoving operations. Traditional temporary haul road layout design has long been based on experience rather than science. Previous research endeavors developed mathematical models and solution algorithms in an attempt to explore the possibility of analytically addressing temporary haul road layout design problems, while achieving limited progress. This study introduces a grid-based optimization methodology by adopting a mixed-integer linear programming (MILP) model, aimed to generate the optimal layout solution in real-world applications. The optimization processes and results are illustrated with a practical engineering case. A comparison of different layout designs for the same case, including the heuristics-based field design and analytical designs resulting from recent research, shows that the proposed methodology is capable of producing optimal solutions to temporary haul road layout design problems.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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