Road congestion assessment: from theory to practice: case of the Greater Montréal road network
Bibliographic record
Abstract
This paper outlines the current congestion-related concepts, the measurements and indicators used elsewhere, and describes the method and indicators developed for Greater Montreal. The paper also explains the computerized methods used to measure queues. The systems were designed in the framework of an MTQ ongoing traffic survey program in the Montreal area, aimed at measuring the evolution of travel times. Two computerized survey methods were designed to measure the position of vehicles. The Odometer technique uses vehicle odometers, while the other method relies on Global Positioning Systems. Either apparatus allows recording, second-by-second, of the exact position of vehicles and computes running speed, travel time and position, length and duration of queues, and delay rates. Computer applications were developed to process collected data and generate synthesis reports that yield a comprehensive rendering of the morphology of congestion on the Greater Montreal road network. Results, depicting queues, travel times, and speeds were mapped and are shown in MapInfo format.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".