Connectivity in inter-vehicle ad hoc networks
Why this work is in the frame
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Bibliographic record
Abstract
A two-stage simulation model is developed to investigate the effects of free flow traffic on connectivity in inter-vehicle ad hoc networks. A traffic microsimulator generates vehicle movement in a multi-lane, unidirectional highway, and a simple network model maintains connectivity graphs between the moving vehicles. The free flow conditions allow vehicles to travel at their maximum velocities, virtually unobstructed by other vehicles because of low vehicle density. We examine some factors that determine the network's ability to maintain an active communication session between a pair of vehicles. Vehicle density, relative velocity, and number of lanes are found to have a key influence on connectivity. The effect of distance, however, depends on the communication range. We also find that the probability distribution of connection lifetime resembles a power law function.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it