Modelling Traffic Operations for Performance Measurement of the Port Mann-Highway 1 Project
Bibliographic record
Abstract
The Port Mann/Highway 1 (PMH1) corridor is the most congested route in the Province of British Columbia. Built in the early 1960s, when the population of Greater Vancouver was 800,000, it is one of the most important east-west corridors serving the region's 2.2 million people, and provides a critical link to the Asia Pacific Corridor through the ports of Vancouver. Many interchanges were designed using the design standards and traffic specifications of the 1960s and are not capable of carrying the current traffic demand and travel patterns. As part of the evaluation process for determining the successful design/build/finance/operate/ consortium, the Province of British Columbia developed a series of custom tools to aid in data exchange, processing of model output, and presentation of performance measures. These tools in combination with the core PARAMICS tool, form the traffic modeling suite. A series of six performance measures, capturing both system wide and individual network components, have been identified. This paper describes how PARAMICS software was used to confirm that the PMH1 Design Concept would maximize throughput and minimize travel time as well as approach delay while meeting all the specified target values for performance indices. Implementing the Design Concept will not only increase mobility but also decrease congestion and delay on the network. This will permit the gateway Program to achieve one of its goals - to reduce congestion-related idling, which contributes to reduced regional air quality.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".