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OC Transpo station · 3055

Eagleson

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77.4% predicted within five minutes of schedule. 3,843 eligible provider predictions; arrivals not independently measured
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Station details

Step-free route

Current notice coverage cannot be confirmed. Retained notices below may have unconfirmed timing or source evidence. Check the operator before you travel.

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Buses from here

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In the station

No published source lists amenities here yet.

Performance

Service delivery · evidence state

Service at EAGLESON

Cancellations at this station

Local count unavailable

The exact stop-call lookup did not finish within this page’s time budget. No zero, cancellation, or missed call is inferred.

Departure-board snapshot
40 listed departures · 21 live provider predictions

Server snapshot assembled Nov 4, 2026, 11:38 a.m.; open Departures for a refreshed board. This is not a cancellation count.

Prediction agreement
77.4% predicted within five minutes of schedule. 3,843 eligible provider predictions; arrivals not independently measured
Bus prediction reliability at this station

Verdict

Bus prediction reliability at this station

Early evidence: 6 of 20 weekdays with eligible final provider predictions. This updates hourly; more records will make the estimate steadier.

77.4% of final provider predictions within 5 minutes of the timetable, from 3,843 predictions over 6 weekdays. The lowest sampled hour is 16:00 at 57%.

Median predicted difference from the timetable: 2 min late. At the 95th percentile: 9 min late.

Final provider predictions for conventional bus arrivals at OC Transpo and STO stations; physical arrivals are not independently verified. Express (200/500), shopper/community (300), event (400), and school (600) routes are excluded because each needs a purpose-specific measure. STO routes are included and graded by their own families: Rapibus 100, 200, 400 and 800 count, and STO school journeys numbered 300 and above are excluded the way OC Transpo’s 600s are. Each operator is measured against its own service, never against the other’s.

We use the agency’s last prediction within ten minutes of each scheduled arrival. 6 weekdays with eligible predictions, 2026-10-28 to 2026-11-04. Within five minutes means the final prediction differs from the schedule by no more than five minutes.

Final provider predictions within five minutes of the timetable, by hour, 6 weekdays
  1. 00:00: 89.9% of final predictions within five minutes of the timetable, 69 predictions, typically 1 min late
  2. 01:00: 84.4% of final predictions within five minutes of the timetable, 45 predictions, typically 1.5 min late
  3. 02:00: 80% of final predictions within five minutes of the timetable, 35 predictions, typically 1.6 min late
  4. 03:00: not enough data
  5. 04:00: 100% of final predictions within five minutes of the timetable, 30 predictions, typically 0.3 min early
  6. 05:00: 81.2% of final predictions within five minutes of the timetable, 117 predictions, typically 2.3 min late
  7. 06:00: 90.4% of final predictions within five minutes of the timetable, 209 predictions, typically 1.1 min late
  8. 07:00: 77% of final predictions within five minutes of the timetable, 269 predictions, typically 2 min late
  9. 08:00: 79.3% of final predictions within five minutes of the timetable, 275 predictions, typically 2.5 min late
  10. 09:00: 75.9% of final predictions within five minutes of the timetable, 216 predictions, typically 2.4 min late
  11. 10:00: 77% of final predictions within five minutes of the timetable, 217 predictions, typically 1.7 min late
  12. 11:00: 79.8% of final predictions within five minutes of the timetable, 198 predictions, typically 1.6 min late
  13. 12:00: 80.5% of final predictions within five minutes of the timetable, 185 predictions, typically 2.1 min late
  14. 13:00: 84.2% of final predictions within five minutes of the timetable, 190 predictions, typically 1.9 min late
  15. 14:00: 75.5% of final predictions within five minutes of the timetable, 188 predictions, typically 1.3 min late
  16. 15:00: 65.3% of final predictions within five minutes of the timetable, 170 predictions, typically 1.7 min late
  17. 16:00: 57.1% of final predictions within five minutes of the timetable, 198 predictions, typically 3.6 min late
  18. 17:00: 69.1% of final predictions within five minutes of the timetable, 236 predictions, typically 2.5 min late
  19. 18:00: 71.5% of final predictions within five minutes of the timetable, 235 predictions, typically 1.8 min late
  20. 19:00: 78.9% of final predictions within five minutes of the timetable, 209 predictions, typically 1.8 min late
  21. 20:00: 75.3% of final predictions within five minutes of the timetable, 166 predictions, typically 1.8 min late
  22. 21:00: 82.6% of final predictions within five minutes of the timetable, 144 predictions, typically 1.3 min late
  23. 22:00: 85.1% of final predictions within five minutes of the timetable, 121 predictions, typically 1.6 min late
  24. 23:00: 83.6% of final predictions within five minutes of the timetable, 116 predictions, typically 1.2 min late
  • 90% or more of predictions within five minutes
  • 80 to 90% of predictions within five minutes
  • under 80% of predictions within five minutes
  • not enough data
Findings
WhatWhenMeasuredScenario or next investigation
ProblemPredictions later than timetable16:003.6 min lateRunning time on the routes here
ProblemOne hour has a lower prediction match16:0057%Operations in that hour

How EAGLESON is doing

These indicators separate repeated delay from variation in the operator’s arrival predictions. They suggest questions for planners and operations staff; they do not establish the cause or prove when buses arrived. Each figure shows its route-hour sample.

Measured over 23 route-hours. 0 more were observed too thinly to count, and are excluded rather than assumed good.

Scheduling

Repeated late predictions can point to a timetable worth reviewing. Check actual arrival and dispatch records before deciding whether running time needs to change.

Who can fix it
A service planner
What it costs
Cost unavailable until fleet, labour, recovery and transfer effects are tested.

Predictions close to the timetable

95.7%

Route-hours where the median eligible arrival prediction is less than one minute early and less than three minutes late.

Route-hours with repeated late predictions

1of 23

Route-hours where the median eligible arrival prediction is at least three minutes late. Review running time against actual operating records.

Route-hours with early predictions

0of 23

Route-hours where the median eligible arrival prediction is at least one minute early. This does not establish that buses departed early.

Typical predicted delay

3.6min

The typical median predicted delay in flagged route-hours; not a validated amount to add to the timetable.

Operations: not measurable here

This site records a median delay for each hour at a stop, and no percentile, so the gap between a normal trip and a bad one cannot be worked out. That is a limit of our own measurement, not a finding about this place.

Measurements

Calculated: · Method: settled-arrivals-oc-sto-conventional-v5

Predictions later than timetable · 16:00
Median delay 3.6 min
Measured arrivals 198
On time 57.1%
One hour has a lower prediction match · 16:00
On time 57.1%
Other hours on time 79.9%
Measured arrivals 198
Station evidence and sources
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Rider evidence

Community reports

Signals below are moderated community aggregates, not official operator notices or reliability scores.

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Evidence behind this pageOpen the definition, method, sources, dates, coverage, and known limits.

What is being shown

A current station board assembled from the imported timetable and any usable operator prediction for each trip.

How it was produced

Platforms sharing the station stop code are grouped, scheduled trips are read from the current GTFS, and a live time is used only when the operator publishes a matching prediction.

Evidence dates

Computed or assembled
Sample
40 departures across 4 published platform records in the current four-hour board.
Coverage
21 departures have a published live prediction; 19 are timetable-only.

Sources

Limits to keep in mind

  • OC Transpo does not publish live rail positions or predictions in the feed used here, so rail times are timetable-only.
  • The stop source does not publish a complete station accessibility chain, entrances, or indoor paths.
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Contains information licensed under the Open Government Licence – City of Ottawa.