Measuring Benefits of Adaptive Traffic Signal Control: Case Study of Mill Plain Boulevard, Vancouver, Washington
Bibliographic record
Abstract
The City of Vancouver, Washington implemented an adaptive control system for traffic signal operations at 12 intersections along Mill Plain Blvd. Performance measurement of this system was the main objective of this research. Link, intersection, and travel-time data were compiled and statistically analyzed. Data observed from travel-time runs (collected via a “floating car”) and data collected from system detectors were used to compare performance of the system in the control case (time of day signal control) and the treatment case (adaptive signal control). This research showed that adaptive traffic signal control generally has a positive impact on the system; however, differences could be observed based on the direction of traffic and volume thresholds. Based on the operational studies, average speed improved up to 25%, the travel time decreased up to 20% and number of stops decreased up to 44% under adaptive control in the eastbound direction. Westbound traffic, however, was impacted…negatively!
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".