BruinBus Schedule#
GTFS Stop Time Updates BruinBus Schedule Summary#
Generally, we want better transit user experience. Specifically, the performance metrics we can derive from GTFS RT Trip Updates distills into the following objectives:
Increase prediction reliability and accuracy
Increase the availability and completeness of GTFS RT
Decrease the inconsistency and fluctuations of predictions
| BruinBus Schedule | ||||||||||
| service_date | # Stop Time Update Messages | % Minutes with 2+ Stop Time Update Message | % Minutes with Accurate Predictions | Prediction Spread / Wobble (minutes) | Avg Stop Time Updates per Minute | % Scheduled Trips with Trip Updates | Bus Catch Likelihood (early + ontime predictions) | Prediction Padding (minutes added to avoid missing bus) | Prediction Error IQR (75th - 25th percentile) (minutes) | Prediction Error 50th percentile (minutes) |
|---|---|---|---|---|---|---|---|---|---|---|
| 2025-06-13 | 43,413 | 96.2% | 37.6% | 0.4 | 3.0 | 14.0% | 62.0% | 19.5 | 6.4 | 0.3 |
| 2025-06-15 | 46,668 | 97.8% | 18.0% | 0.7 | 3.0 | 91.0% | 84.0% | 26.7 | 15.5 | 7.6 |