Operating Speed Based Criteria for Design Consistency Evaluation on Motorways in China
Bibliographic record
Abstract
Operating speed is the final presentation of vehicles influenced by integration of highway geometric alignment, road environment, vehicle performance as well as drivers behavior; moreover, the larger speed differential between two consecutive segments is, the worse the design consistency of the section will be, where the probability of traffic accidents will be higher. In this paper, the existing operating speed based criteria for evaluation of design consistency are reviewed, however without comprehensive verification and calibration of the criteria in China, the adaptability and effectiveness of the criteria cannot be verified. The more personalized criteria for China highways are needed. The theoretical analysis of various operating speed based evaluation methods were put forward in order to decide the more localized evaluation method in China; afterwards, a traffic accident based analysis of different road sections of a motorway in northeastern China are put forward in order to verify the critical nominal road segments for road safety audit. Both of the operating speed and traffic accident resources of the verified road segments have been collected from the selected motorway. By applying graphic-arts technique and statistical analysis method, the operating speed based design consistency criteria were developed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".