Visalia Schedule#

GTFS Stop Time Updates Visalia 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

Visalia 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 2,220,846 91.2% 68.4% 0.3 1.3 93.0% 71.0% 6.4 3.0 0.7
2025-06-02 3,767,538 92.3% 64.4% 0.3 1.0 89.0% 69.0% 6.8 3.4 0.8
2025-06-03 4,165,959 92.0% 63.9% 0.3 1.1 93.0% 67.0% 7.3 3.4 0.7
2025-06-04 3,764,598 92.6% 65.5% 0.3 1.0 89.0% 70.0% 7.0 3.2 0.8
2025-06-05 2,895,819 93.2% 61.2% 0.3 1.1 82.0% 70.0% 8.1 3.7 0.9
2025-06-06 2,079,882 89.8% 64.7% 0.2 0.8 81.0% 72.0% 7.4 3.1 0.6
2025-06-07 2,294,913 92.2% 65.5% 0.3 1.7 92.0% 71.0% 7.4 3.2 0.8
2025-06-08 2,292,075 92.5% 65.1% 0.3 1.3 91.0% 70.0% 6.8 3.2 0.8
2025-06-09 4,123,452 92.6% 66.5% 0.3 0.8 96.0% 69.0% 6.9 3.2 0.7
2025-06-10 4,229,736 92.9% 66.1% 0.3 1.0 99.0% 70.0% 7.2 3.2 0.8
2025-06-11 4,372,005 93.2% 67.6% 0.3 1.0 100.0% 72.0% 7.0 3.1 0.8
2025-06-12 3,896,517 92.4% 65.4% 0.3 0.9 97.0% 72.0% 7.3 3.2 0.9
2025-06-13 3,984,342 92.5% 65.4% 0.3 1.0 91.0% 70.0% 7.4 3.2 0.9
2025-06-14 2,338,341 93.0% 66.1% 0.3 1.1 99.0% 69.0% 7.6 3.2 0.7
2025-06-15 1,844,253 92.5% 67.1% 0.3 1.2 97.0% 71.0% 7.3 3.0 0.7