Modification of stopping sight distance and length of crest vertical curve using air resistance and drag force parameters
Bibliographic record
Abstract
There are two parts to Stopping Sight Distance (SSD): Distance traveled during reaction time and Braking distance. It is the standard practice, according to Indian Roads Congress (IRC), American Association of State and Highway Transportation Officials (AASHTO), Australian, and Canadian guidelines, to determine SSD based on these two distances. However, these practices do not take into account the role of air resistance, drag force and wind speed on SSD. A vehicle will move from one place to another after removing air. Air resistance reduces the sight distance, as does drag force. Wind velocity reduces SSD in cases in which the wind moves in the opposite direction of vehicle movement and vice versa. SSD is used to determine the length of the vertical curve. Using all these parameters, including aerodynamic drag coefficient, frontal area of vehicle and mass of vehicle, SSD has been modified. Reported herein are SSDs for various situations.
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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 | 0.000 | 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 | 0.000 |
| 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 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".