OCTA Schedule

OCTA Schedule#

GTFS Stop Time Updates OCTA 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

OCTA 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 32,818,005 98.9% 78.6% 0.2 3.0 100.0% 69.0% 5.1 2.2 0.6
2025-06-02 55,484,484 98.8% 76.3% 0.2 3.0 100.0% 75.0% 5.5 2.4 0.9
2025-06-03 55,610,334 98.9% 74.9% 0.2 3.0 100.0% 76.0% 5.8 2.5 1.0
2025-06-04 55,082,460 98.8% 74.8% 0.2 2.9 100.0% 77.0% 5.8 2.5 1.0
2025-06-05 55,431,735 98.9% 75.1% 0.2 3.0 100.0% 78.0% 5.6 2.5 1.0
2025-06-06 55,468,464 98.9% 74.1% 0.2 3.0 100.0% 78.0% 5.8 2.5 1.0
2025-06-07 35,303,214 98.9% 79.2% 0.2 3.0 100.0% 69.0% 5.0 2.2 0.6
2025-06-08 33,679,518 98.9% 79.5% 0.2 3.0 100.0% 72.0% 5.1 2.1 0.8
2025-06-09 55,422,858 98.9% 79.1% 0.1 2.9 100.0% 74.0% 5.0 2.2 0.8
2025-06-10 55,375,230 98.9% 78.5% 0.2 2.8 100.0% 74.0% 5.2 2.2 0.8
2025-06-11 55,347,735 98.9% 78.5% 0.2 2.9 100.0% 74.0% 5.1 2.2 0.8
2025-06-12 52,963,620 98.5% 79.5% 0.1 2.9 100.0% 73.0% 5.0 2.1 0.8
2025-06-13 55,243,527 98.9% 78.8% 0.1 2.8 100.0% 72.0% 5.1 2.2 0.8
2025-06-14 34,953,804 98.9% 79.9% 0.2 3.0 100.0% 64.0% 4.9 2.1 0.4
2025-06-15 23,019,051 98.9% 81.7% 0.1 2.8 100.0% 68.0% 4.6 2.0 0.5
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