Analytics Dashboard

Comprehensive historical analysis and performance trends

From

May 8, 2026 – Jun 7, 2026 (31d)

Predictions

0 days of data

Avg On-Time

0.0%

Grade: F

Routes

5587 vehicles

Bunching

vehicles arriving too close

Route Comparison

0 routes selected

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Prediction Accuracy

Avg Error (MAE)

6:57

7 minutes avg

Within 3 Min

85.7%

of predictions accurate

Bias

-5:51

tends early

Sample Size

421.5K

predictions analyzed

Accuracy Bands

Within 1 min

79.3%

Within 2 min

83.1%

Within 3 min

85.7%

Within 5 min

88.7%

Accuracy by Data Source

Source	MAE	On-Time	Sample
HIGH GTFS-RT TripUpdate	24:29	51.7%	117,315
MEDIUM GPS Interpolation	10:11	35.9%	5,722
LOW Schedule Only	0:00	100.0%	298,438

Prediction Error by Hour

Prediction Accuracy by Distance

How prediction error decreases as the vehicle gets closer to the stop

Vehicle Performance

Top 10 Most Reliable

#	Vehicle	On-Time	Routes
1	1507243	100.0%	1
2	1507260	100.0%	1
3	1507242	100.0%	1
4	1507196	100.0%	1
5	1507246	100.0%	1
6	1507237	100.0%	1
7	1507119	100.0%	1
8	1507203	100.0%	1
9	1507152	100.0%	1
10	1507263	100.0%	1

Bottom 10 Least Reliable

#	Vehicle	On-Time	Avg Delay
1	1508900	0.0%	-151:55 early
2	1508109	0.0%	-60:00 early
3	1508383	0.0%	-69:36 early
4	1508379	0.0%	-80:26 early
5	1507351	0.0%	-120:00 early
6	1507349	0.0%	-89:32 early
7	1508238	0.0%	-119:44 early
8	1508290	0.0%	-120:00 early
9	1507297	0.0%	-81:49 early
10	1508907	0.0%	-44:52 early