Influence of Vertical Alignment on Horizontal Curve Perception: Phase II: Modeling Perceived Radius
Bibliographic record
Abstract
Phase I of a study established that perception of horizontal curvature depends on the overlapping vertical alignment. A horizontal curve radius will be perceived incorrectly if the curve overlaps with a crest or sag vertical curve. Phase II quantified the extent of such erroneous perception. An experiment involving a three-dimensional static presentation was carried out to determine the mean value of perceived horizontal curve radius for different sets of alignment parameters. The results of the experiment were analyzed statistically to examine the effects of the alignment parameters on the perceived radius. The parameters that were found to significantly affect the perceived radius were the type of overlapping vertical curve, actual radius, and turning direction (on crest and sag curves) and sight distance (on sag curves). In addition, simple statistical models were developed using regression analysis to estimate the perceived radius of any horizontal curve in a combined alignment.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".