Exclusive Truck Facilities in Toronto, Ontario, Canada
Bibliographic record
Abstract
Segregation of truck traffic from passenger traffic through implementation of exclusive truck facilities in key economic corridors can lead to improvements in traffic flow characteristics, safety, and freight efficiency in congested corridors. A model of the 400 series highways around Toronto, Ontario, Canada, assesses alternative configurations of exclusive truck facilities. The demands are based on passenger travel data from a household travel survey, intercity truck travel information from a roadside survey, and urban truck travel information from a three-stage model based on shipper survey data. Origin–destination (O-D) flows are assigned to a regional road network by using a generalized cost multiclass user equilibrium model, and preliminary ramp-to-ramp matrices are extracted from the results of the traffic assignment model. Ramp-to-ramp matrices are improved by using O-D matrix updating. After the O-D matrix updating, observed freeway volumes by vehicle type are replicated very closely in the base case. Converting a lane of mixed traffic to an exclusive truck lane on Highway 401 results in an increase in truck demand and lower truck travel times. Construction of a new exclusive truck highway in an existing hydro corridor through Toronto improves travel times moderately for passenger cars and significantly for medium and heavy trucks.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".