Symbiotic Evolution and Simulation of Motorized and Nonmotorized Vehicles at Right‐Turns
Bibliographic record
Abstract
This paper constructs a dynamic crossing model for motorized and nonmotorized vehicles at right‐turn intersections based on the Lotka–Volterra framework. The study explores equilibrium points and stability conditions within the symbiotic evolution model. By incorporating the Allee effect, the model simulates various stability scenarios and proposes strategies for optimizing the symbiotic evolution of motorized and nonmotorized vehicles. The findings reveal that the evolutionary trends of the interaction system align closely with the predicted trajectories of the proposed model. The stability of the symbiotic evolution model is influenced by the threshold of the Allee effect, initial crossing scales, and the cooperation and suppression coefficients between motorized and nonmotorized vehicles. These insights not only provide a novel perspective for understanding the interaction dynamics of motorized and nonmotorized vehicles but also offer theoretical guidance for improving safety and efficiency at right‐turn intersections.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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 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".