System Metrics

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Transit data

2026-09-01 → 2026-09-30

Downloads a ZIP containing:

  • metrics_chunks.csvpre-rolled KPI aggregates
  • timepoint_stop_events.csvraw per-stop delays
  • cancellations.csvcancelled trips
  • alerts.csvservice alerts
  • metric_passages.csvscreened GPS passages with source IDs
  • metric_rebuilds.csvrecipe and timetable provenance
  • metric_timetables.csv / metric_calendar.csvthe archived service-date schedule
  • README.txtfield reference

Estimated size ~5.6 MB

These are unofficial statistics based on the transit data feed. Send feedback

Based on 30 days of observations this month. Select a metric to compare routes and explore its trend.

On-Time Schedule
95 % avg
Departures reported from 1 minute early to 5 minutes late at scheduled checkpoints. Higher is better.
98Morning
92Midday
95Evening
Cancellation Rate Schedule
8.5 % avg
Scheduled trips reported cancelled. Missed trips that were not reported are not included. Lower is better.
9.9Morning
7.5Midday
8.2Evening
Excess Wait Time Delay
2.8 min avg
Estimated extra waiting compared with buses running to schedule. Uneven spacing between buses can increase waits even when the same number of buses runs.
2.9Morning
2.3Midday
2.5Evening
Bus Spacing Regularity
0.20 avg
How much the time between buses varies. A lower score means buses arrive more evenly spaced.
0.19Morning
0.18Midday
0.21Evening

Route Comparison

Trend — On-Time Performance

Daily readings and a 30-day average. Gaps mean there isn’t enough data.

Daily 30-day average September 2026 · selected month