A Multi-Attribute Performance Measurement Model for Advanced Public Transit Systems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Public transit systems are subject to irregularities due to traffic, weather conditions, and incidents along the route. Transit agencies usually employ real-time control strategies in order to remedy the specific problems as they occur. Recently, new technologies, such as automatic vehicle location systems and global positioning systems, have made it possible to design advanced public transit systems. In such systems, an accurate performance measurement that helps managers and controllers with monitoring and control of operations is an essential task. This article presents a new approach to measuring the performance of services in advanced public transit systems. The novelty of the work presented herein lies in integrating two operation control tools, which are schedule and headway adherences applicable respectively to high and low frequency services. These control tools aid managers in depicting deviations in schedules and take proactive corrective actions to effectively prevent service interruptions. A new mathematical model is developed and illustrative numerical examples are provided.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it