Study on avoidance behavior model based on vehicle-bicycle collision in urban interchange
Bibliographic record
Abstract
A disaggregate logit model based on collision avoidance behavior was formulated to research on the conflict of right-turning vehicles and straight bicycles in urban interchange ramp terminals. By analyzing the mechanism of the conflict of vehicle and bicycle, this paper thought that the main conflict of vehicle and bicycle could be regarded as the behavior of collision avoidance and the behavior of gap choice, and the concept of collision avoidance of vehicle and bicycle was mentioned. On the basis of the investigation, by analyzing of the factors of collision avoidance behavior and applying binary logit regression model, the disaggregate model of collision avoidance behavior was established, and then the parameters of this model was calibrated with the survey data. The results of this model test show that the value of goodness-of-fit is 4.804, and the values of accuracy for forecasting the behaviors of overtaking the bicycle and slowing down for avoidance are 91.3% and 88.9%.
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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".