Bay Area 511 Union City Transit Schedule

Bay Area 511 Union City Transit Schedule#

GTFS Stop Time Updates Bay Area 511 Union City Transit 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

Bay Area 511 Union City Transit 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)
2025-06-01 338,490 91.2% 74.3% 0.5 1.6 75.0% 62.0% 4.8 2.6 0.3
2025-06-02 711,426 90.5% 65.0% 0.2 1.6 70.0% 59.0% 7.0 3.1 0.3
2025-06-03 628,500 91.5% 66.4% 0.2 1.5 68.0% 58.0% 6.4 2.8 0.2
2025-06-04 968,241 92.1% 66.7% 0.5 1.9 79.0% 56.0% 6.1 3.0 0.1
2025-06-05 1,080,618 92.4% 66.7% 0.3 1.3 67.0% 59.0% 6.8 2.9 0.3
2025-06-06 815,487 90.7% 68.6% 0.3 1.1 80.0% 61.0% 7.9 2.7 0.1
2025-06-07 358,911 92.5% 70.7% 0.2 1.3 86.0% 64.0% 6.0 2.2 0.2
2025-06-08 427,377 91.7% 71.4% 0.2 1.6 84.0% 68.0% 6.3 2.7 0.7
2025-06-09 727,596 92.0% 65.3% 0.6 1.9 76.0% 66.0% 7.8 3.0 0.6
2025-06-10 812,811 91.6% 64.8% 0.3 1.4 70.0% 61.0% 6.9 3.2 0.3
2025-06-11 960,597 92.1% 72.7% 0.3 1.7 73.0% 58.0% 6.6 2.6 0.2
2025-06-12 898,719 91.9% 63.8% 0.3 1.4 67.0% 59.0% 7.5 3.2 0.4
2025-06-13 890,766 93.2% 66.1% 0.4 1.6 57.0% 62.0% 7.3 3.0 0.5
2025-06-14 126,213 89.3% 67.0% 0.3 1.9 41.0% 50.0% 4.7 2.8 0.0
2025-06-15 19,473 90.6% 56.0% 0.3 2.8 50.0% 41.0% 16.1 3.5 -0.3