Development of a Fleet Allocator Model for Calgary, Canada
Bibliographic record
Abstract
The Calgary commercial vehicle model is an attempt to model all commercial vehicle movements in Calgary, Alberta, Canada, as part of a larger model system that includes a personal travel model. One type of commercial vehicle initially modeled in a simple, gravity-based fashion because of limited data is the fleet allocator. Fleet allocators are commercial vehicles that make many stops in a coordinated pattern. These include services such as garbage pickup, newspaper and mail delivery, and couriers. From an existing linear regression trip generation model and a gravity-based distribution model, a more complex tour-based model system consistent with the approach for the remainder of the commercial vehicles was adopted. With available aggregate fleet allocator information provided with the cooperation of the City of Edmonton, Canada, along with the parameters estimated for other types of commercial vehicles in the existing tour-based Calgary commercial vehicle model, a full tour-based fleet allocator model was developed and calibrated to match the available observed data. The process used was a successful demonstration of using an existing model to cover a different set of movements by calibrating the model parameters using the additional available data.
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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 | 0.010 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".