Design of Minimum Horizontal Curve Radius in Plateau Areas: Psychophysiological Approach
Bibliographic record
Abstract
The unique natural geographic environment at high altitudes, characterized by low partial pressure, significantly reduces blood oxygen levels and affects human systems. These impacts directly influence drivers’ psychophysiological states, increasing their mental workload and compromising driving safety. Currently, two-lane highways represent the primary type of plateau highways, comprising over 90% of the overall mileage. Therefore, it is essential to examine the minimum radius of the horizontal curve applied to two-lane highways in plateau areas, considering the effects of low atmospheric pressure and hypoxia conditions of plateau areas on drivers. The segments from Nyingchi to the Mountain Shegyla on G318 in the Tibetan plateau region were selected for the field experiment. The model for the simulated experiment was established using the UC/Win-Road software to increase the adequate sample size. The consistency of the field and simulated experiments was validated using the paired sample t-test. Sample entropy is adopted to process the collected multisource data from field and simulation experiments, including the velocity of the vehicles and the heart rate and electroencephalogram of the drivers. Further, principal component analysis was used to evaluate a sample entropy index (SEI), which comprehensively represented the psychophysiological state of drivers. Subsequently, the correlation of SEI with the radius is anatomized, validating that the lateral acceleration ah was the index of most significant influence on SEI from the perspective of driving dynamics. Values of the minimum radius of the horizontal curve for two-lane highways in plateau areas were proposed to amend the current Chinese design specifications for highway alignments. Overall, this research could be essential in alignment design in plateau areas and conspicuously deepens our theoretical and practical understanding of driving safety under low-atmospheric pressure and hypoxia environments.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".