Anaheim Resort Schedule v2

Anaheim Resort Schedule v2#

GTFS Stop Time Updates Anaheim Resort Schedule v2 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

Anaheim Resort Schedule v2
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 1,355,385 97.8% 21.3% 1.2 3.0 65.0% 75.0% 26.1 10.3 4.3
2025-06-02 1,192,473 97.6% 21.3% 1.1 3.0 51.0% 75.0% 23.6 9.6 4.1
2025-06-03 1,079,418 97.7% 22.2% 0.8 3.0 51.0% 77.0% 19.9 9.0 4.1
2025-06-04 1,236,042 97.8% 21.8% 1.0 3.0 66.0% 75.0% 19.9 9.4 4.0
2025-06-05 1,094,238 97.7% 21.3% 1.0 3.0 55.0% 75.0% 21.8 9.9 4.1
2025-06-06 1,314,300 97.3% 23.0% 1.2 3.0 64.0% 74.0% 23.4 9.5 3.8
2025-06-07 1,066,248 97.8% 21.6% 0.9 3.0 50.0% 77.0% 20.8 9.6 4.4
2025-06-08 1,260,546 97.6% 23.6% 1.1 3.0 62.0% 73.0% 21.6 10.0 3.6
2025-06-09 1,145,415 97.8% 22.9% 0.9 3.0 52.0% 75.0% 22.8 9.8 4.1
2025-06-10 972,852 97.7% 22.5% 0.8 3.0 53.0% 75.0% 20.2 10.0 4.2
2025-06-11 1,362,000 97.5% 21.9% 1.1 3.0 65.0% 75.0% 28.9 9.9 4.2
2025-06-12 982,623 97.2% 21.9% 0.8 2.9 59.0% 77.0% 20.2 9.8 4.6
2025-06-13 1,255,353 97.5% 21.5% 1.2 3.0 59.0% 75.0% 22.0 9.6 4.2
2025-06-14 1,047,666 97.8% 22.0% 1.0 3.0 57.0% 77.0% 23.6 9.9 4.3
2025-06-15 535,920 98.0% 24.4% 0.6 3.0 45.0% 78.0% 18.4 8.9 3.9