An Agent Based Model to Analyze the Effects of Traffic Signal Timing on Vehicle Throughput in Inclement Weather
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This preliminary paper discusses the creation of an agent based model for a signalized traffic intersection derived from a previously developed mathematical vehicle-following micro-simulation model. The results of the agent based model are compared to the results from the mathematical model for verification purposes. The agent based model is then used to show the effects of inclement weather on vehicle throughput at a traffic intersection and to show how increasing the signal intervals in these conditions can help to partially restore traffic throughput to normal condition levels. This effort is just part of the many simulation and modeling efforts that will be required as autonomous vehicles as well as person controlled vehicles begin to share the roadway. The role of IoT will become extremely important and even more so, as driving conditions are exacerbated by unforeseen and environmentally hazardous roadway conditions making intercommunication between vehicles and infrastructure even more critical.
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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 | 0.000 |
| 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 it