Reducing Congestion at Banff National Park's East Gate
Bibliographic record
Abstract
Banff National Park is faced with some unique operational problems at its East Gate: this main entrance station to the Park is on the mainline westbound lanes of the Trans-Canada Highway, and; vehicles already possessing entry permits or traveling non-stop through the Parks are not required to stop at the entrance station. The Trans-Canada Highway provides the major road link from the Canadian prairies to the Pacific coast, and is a 70 mph freeway facility approaching the Park. Westbound traffic volumes at the East Gate entrance station have exceeded 23,000 vehicles per day on the busiest summer day. Vehicles that already hold an entry permit and vehicles that do not intend to stop in Banff National Park are not required to stop at the entrance station. These vehicles may use a bypass lane around the entrance station. An honor system is used, and Park staff perform routine audits to ensure entry permit compliance within the Park. The East Gate is the main entrance station for the mountain parks in Canada where, like many National Parks in Canada and the United States, an entrance fee is charged. This entrance station processes up to 5,300 vehicles per day on summer long weekends. During these peak times, long queues back up onto the high speed facility, which presents a safety issue and results in long wait times. This paper describes the study that evaluated the operational problems at the Banff East Gate and developed recommendations for reducing the congestion.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".