Turlock Schedule#

GTFS Stop Time Updates Turlock 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:

  1. Increase prediction reliability and accuracy

  2. Increase the availability and completeness of GTFS RT

  3. Decrease the inconsistency and fluctuations of predictions

Turlock 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 1,039,602 98.9% 78.7% 0.1 3.0 100.0% 65.0% 4.4 1.9 0.5
2025-06-03 1,038,516 98.9% 76.3% 0.1 3.0 100.0% 72.0% 4.8 2.0 0.8
2025-06-04 1,039,827 98.7% 77.2% 0.1 3.0 100.0% 69.0% 4.4 1.9 0.7
2025-06-05 1,040,979 98.9% 77.1% 0.1 3.0 100.0% 69.0% 4.6 2.0 0.8
2025-06-06 1,035,480 98.9% 82.1% 0.1 3.0 100.0% 68.0% 3.7 1.6 0.6
2025-06-07 660,912 98.9% 73.8% 0.1 3.0 100.0% 68.0% 4.8 2.1 0.7
2025-06-09 1,040,124 98.9% 77.0% 0.1 3.0 100.0% 67.0% 4.6 1.9 0.6
2025-06-10 1,040,562 98.9% 78.7% 0.1 3.0 100.0% 69.0% 4.2 1.8 0.6
2025-06-11 1,039,407 98.9% 77.9% 0.1 3.0 100.0% 71.0% 4.3 1.8 0.7
2025-06-12 990,744 98.5% 80.0% 0.1 2.9 100.0% 72.0% 4.0 1.8 0.8
2025-06-13 1,040,187 98.9% 78.8% 0.1 3.0 100.0% 69.0% 4.3 1.8 0.7
2025-06-14 663,957 98.9% 79.3% 0.1 3.0 100.0% 66.0% 4.4 1.7 0.6