Bay Area 511 Santa Clara Transit Schedule

Bay Area 511 Santa Clara Transit Schedule#

GTFS Stop Time Updates Bay Area 511 Santa Clara Transit 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

Bay Area 511 Santa Clara Transit 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)
2025-06-01 28,940,706 98.7% 76.4% 0.2 2.9 99.0% 63.0% 5.2 2.3 0.5
2025-06-02 46,979,967 98.8% 75.6% 0.1 2.9 99.0% 72.0% 5.5 2.3 0.8
2025-06-03 48,385,440 98.8% 74.9% 0.1 3.0 98.0% 73.0% 5.6 2.4 0.9
2025-06-04 47,484,042 98.8% 74.2% 0.1 2.9 98.0% 73.0% 5.6 2.4 0.9
2025-06-05 48,664,377 98.8% 76.1% 0.1 2.9 99.0% 72.0% 5.3 2.3 0.8
2025-06-06 48,195,765 98.8% 75.7% 0.1 2.9 99.0% 72.0% 5.4 2.3 0.8
2025-06-07 32,665,824 98.8% 78.2% 0.2 3.0 100.0% 64.0% 4.7 2.2 0.5
2025-06-08 29,837,232 98.8% 78.7% 0.1 3.0 99.0% 60.0% 4.5 2.2 0.4
2025-06-09 48,262,617 98.8% 78.2% 0.1 3.0 99.0% 70.0% 5.0 2.1 0.7
2025-06-10 49,837,377 98.9% 78.4% 0.1 2.9 99.0% 71.0% 5.1 2.2 0.7
2025-06-11 48,629,343 98.9% 78.6% 0.1 3.0 99.0% 71.0% 5.0 2.1 0.7
2025-06-12 46,840,740 98.3% 77.9% 0.1 2.8 98.0% 72.0% 5.2 2.2 0.7
2025-06-13 49,012,101 98.8% 77.4% 0.1 2.9 99.0% 71.0% 5.2 2.2 0.7
2025-06-14 32,066,520 98.8% 78.0% 0.2 2.9 99.0% 65.0% 5.0 2.2 0.5
2025-06-15 18,948,471 98.9% 80.4% 0.1 3.0 100.0% 65.0% 4.6 2.1 0.5