Big Blue Bus Swiftly Schedule#
GTFS Stop Time Updates Big Blue Bus Swiftly 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
| Big Blue Bus Swiftly 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) |
|---|---|---|---|---|---|---|---|---|---|---|
| 2025-06-02 | 7,626,477 | 98.6% | 75.6% | 0.2 | 3.0 | 0.0% | 68.0% | 5.4 | 2.4 | 0.7 |
| 2025-06-03 | 7,794,225 | 98.5% | 76.1% | 0.2 | 3.0 | 0.0% | 65.0% | 5.3 | 2.4 | 0.6 |
| 2025-06-04 | 7,828,242 | 98.5% | 73.1% | 0.2 | 3.0 | 0.0% | 69.0% | 5.8 | 2.6 | 0.8 |
| 2025-06-05 | 7,644,099 | 98.5% | 73.9% | 0.2 | 2.9 | 0.0% | 67.0% | 5.5 | 2.5 | 0.7 |
| 2025-06-06 | 7,289,340 | 98.6% | 74.9% | 0.2 | 3.0 | 0.0% | 61.0% | 5.1 | 2.5 | 0.4 |
| 2025-06-09 | 7,047,723 | 98.6% | 76.9% | 0.2 | 3.0 | 0.0% | 60.0% | 4.8 | 2.4 | 0.4 |
| 2025-06-10 | 7,390,965 | 98.6% | 76.6% | 0.2 | 2.9 | 0.0% | 61.0% | 5.1 | 2.4 | 0.4 |
| 2025-06-13 | 7,226,751 | 98.6% | 74.1% | 0.3 | 3.0 | 0.0% | 57.0% | 5.1 | 2.5 | 0.3 |