Marin GMV Schedule#

GTFS Stop Time Updates Marin GMV 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

Marin GMV 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 2,362,341 96.1% 72.2% 0.3 2.3 78.0% 58.0% 5.2 2.7 0.1
2025-06-02 3,112,149 96.2% 59.7% 0.5 2.3 82.0% 58.0% 7.7 3.8 0.2
2025-06-03 3,970,938 96.2% 67.0% 0.4 2.2 92.0% 60.0% 5.8 3.1 0.2
2025-06-04 3,400,149 96.6% 65.9% 0.4 2.3 80.0% 58.0% 5.9 3.2 0.2
2025-06-05 3,737,187 96.5% 69.1% 0.4 2.4 87.0% 56.0% 5.1 3.0 0.0
2025-06-06 1,953,774 93.7% 66.7% 0.2 1.6 89.0% 61.0% 5.7 2.8 0.0
2025-06-07 2,428,011 96.3% 71.5% 0.3 2.2 81.0% 61.0% 5.1 2.8 0.2
2025-06-08 2,437,137 96.3% 72.1% 0.4 2.4 80.0% 58.0% 4.9 2.8 0.1
2025-06-09 3,042,423 96.7% 67.1% 0.8 2.2 84.0% 60.0% 5.9 3.1 0.1
2025-06-10 2,854,461 96.9% 64.8% 0.4 2.3 77.0% 60.0% 6.2 3.3 0.2
2025-06-11 3,019,368 96.6% 64.3% 0.4 2.3 80.0% 57.0% 6.2 3.3 0.1
2025-06-12 2,804,895 95.9% 65.1% 0.4 2.3 79.0% 59.0% 6.2 3.3 0.1
2025-06-13 2,854,416 96.5% 69.4% 0.4 2.3 72.0% 59.0% 5.7 2.9 0.1
2025-06-14 2,410,356 96.5% 74.1% 0.3 2.4 82.0% 59.0% 4.8 2.6 0.1
2025-06-15 1,210,977 97.1% 69.4% 0.3 2.6 65.0% 57.0% 5.2 2.9 0.0