Transportation Modeling for the 2010 Winter Olympic Games
Bibliographic record
Abstract
In preparation for the 2010 Winter Olympic Games, the City of Vancouver joined the Olympic and Paralympic Transportation Team (OPTT), a multi-agency organization responsible for the transportation planning and operations of the Games. Consisting of the Vancouver Organizing Committee for the 2010 Winter Olympic and Paralympic Games (VANOC) and several government partners, such as the BC Ministry of Transportation and TransLink (SCBCTA), the OPTT streamlined their process for decision-making by defining specific roles and responsibilities for each of its member agencies. The City of Vancouver took on the responsibility of modeling traffic and projecting travel demand during Games-time in the Greater Vancouver Area (GVA) to assist in the preparation and planning for this world-class event. This paper details the development and implementation of three transportation network models created by the City of Vancouver and PTV America, Inc. which were used for decision support and aided in the creation of the Host City Olympic Transportation Plan (HCOTP).
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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 | 0.001 | 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 | 0.001 |
| 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".