North County Schedule#

GTFS Stop Time Updates North County 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

North County 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 7,809,696 98.9% 83.2% 0.1 3.0 100.0% 65.0% 4.2 1.9 0.5
2025-06-02 14,069,496 98.9% 76.3% 0.2 3.0 100.0% 68.0% 5.1 2.3 0.7
2025-06-03 14,064,828 98.9% 74.4% 0.2 3.0 100.0% 69.0% 5.4 2.4 0.8
2025-06-04 14,106,123 98.8% 76.5% 0.1 3.0 100.0% 76.0% 5.3 2.3 1.0
2025-06-05 13,993,302 98.8% 77.2% 0.1 3.0 100.0% 75.0% 5.2 2.3 0.9
2025-06-06 14,066,313 98.9% 75.7% 0.1 3.0 100.0% 75.0% 5.4 2.3 0.9
2025-06-07 9,095,052 98.9% 81.9% 0.1 3.0 100.0% 65.0% 4.2 2.0 0.5
2025-06-08 7,791,732 98.9% 85.6% 0.1 3.0 100.0% 66.0% 3.8 1.7 0.5
2025-06-09 13,901,691 98.8% 76.8% 0.1 3.0 99.0% 74.0% 5.2 2.3 0.9
2025-06-10 14,070,756 98.8% 75.3% 0.1 3.0 100.0% 75.0% 5.6 2.3 1.0
2025-06-11 13,962,921 98.8% 75.6% 0.1 3.0 100.0% 74.0% 5.4 2.3 0.9
2025-06-12 13,264,152 98.2% 75.6% 0.1 2.9 100.0% 73.0% 5.4 2.3 0.9
2025-06-13 13,967,292 98.9% 74.9% 0.1 2.9 100.0% 75.0% 5.4 2.4 1.0
2025-06-14 9,059,157 98.8% 79.1% 0.2 3.0 100.0% 67.0% 4.8 2.2 0.6
2025-06-15 5,507,292 98.9% 83.5% 0.1 3.0 100.0% 67.0% 4.3 1.8 0.5