San Francisco Bay Ferry Schedule

San Francisco Bay Ferry Schedule#

GTFS Stop Time Updates San Francisco Bay Ferry 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

San Francisco Bay Ferry 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 68,007 98.9% 47.6% 0.1 3.0 100.0% 27.0% 2.6 1.3 -0.0
2025-06-02 98,742 98.7% 46.8% 0.1 2.9 100.0% 30.0% 2.7 1.4 0.1
2025-06-03 98,301 98.7% 45.0% 0.1 2.9 100.0% 33.0% 3.4 1.6 0.3
2025-06-04 126,111 98.8% 45.2% 0.1 3.0 100.0% 34.0% 3.0 1.3 0.3
2025-06-05 124,482 98.9% 46.9% 0.1 3.0 100.0% 34.0% 3.0 1.2 0.2
2025-06-06 127,818 98.7% 46.5% 0.1 3.0 100.0% 34.0% 3.0 1.4 0.3
2025-06-07 67,929 98.8% 46.0% 0.1 3.0 100.0% 33.0% 3.8 1.5 0.2
2025-06-08 67,806 98.8% 47.6% 0.1 2.9 100.0% 32.0% 3.0 1.1 0.2
2025-06-09 95,784 98.5% 47.4% 0.1 2.9 100.0% 31.0% 2.6 1.3 0.1
2025-06-10 97,524 98.6% 45.7% 0.1 2.9 100.0% 30.0% 2.9 1.6 0.1
2025-06-11 122,247 98.8% 46.4% 0.1 3.0 100.0% 31.0% 3.1 1.4 0.1
2025-06-12 114,813 97.8% 46.3% 0.1 2.8 100.0% 33.0% 3.2 1.5 0.3
2025-06-13 124,764 98.7% 45.9% 0.1 3.0 100.0% 30.0% 3.4 1.4 0.1
2025-06-14 68,967 98.9% 48.8% 0.1 3.0 100.0% 27.0% 2.4 1.2 -0.0
2025-06-15 44,889 98.9% 47.6% 0.1 3.0 100.0% 28.0% 2.3 1.4 0.0