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Ward 2 · Ottawa · Councillor: Laura Dudas

Orléans West-Innes

Orléans West-Innes: prediction accuracy is not published for this ward yet.

Within five minutes
Not available yet
Stops in the ward
366
Routes serving it
35
Cancelled trips
Not available yet
Not counted per ward yet

Where it is slowest

  • 80% and up 8
  • 60 to 80% 5
  • Under 60% 1
  • Too little data 21

Routes serving the ward, by their share of predictions within five minutes. Each route result covers the whole route.

Routes in this ward

Routes in this ward, least reliable first
RouteWithin 5 minCancelledCrowding
3258.3%Not publishedNot published
3170.4%Not publishedNot published
2471.9%Not publishedNot published
4276.6%Not publishedNot published
2577.3%Not publishedNot published
3078.6%Not publishedNot published
3981.2%Not publishedNot published
3482.5%Not publishedNot published

Cancellations and crowding are not published per route yet. 21 routes with too little data or a different service purpose are left out.

All routes and their sources

One-page brief

A printable summary of this ward for council and community meetings, with the same numbers, the method in plain words and dated sources.

What can be verified in Orléans West-Innes?

Arrival predictions, the imported timetable and train notices. Each is shown with its own source.

Provider prediction agreement

Not available yet

307,271 eligible settled provider predictions are available at stops inside this ward across 19 weekdays with feed evidence. A percentage remains unavailable until the evidence reaches 500 eligible predictions and 20 such weekdays.

How this compares
Not ranked yet

Service, per the imported timetable

Scheduled trips at ward stops
Not available yet
Routes
35
Train lines
0

Current service inside this boundary

The live buses inside this boundary are on the Map tab.

Prediction measure, timetable inventory and methods

Service delivery · evidence state

Oct 28, 2026 – Nov 3, 2026

Cancellations at stops in this ward

Not publishable

No zero or missed trip is inferred when exact stop calls cannot be published.

Predictions at stops inside the ward

307,271 eligible final provider predictions across 19 weekdays. The local percentage is withheld until its publication threshold is met.

Predictions do not prove physical arrival.

Routes to inspect

Oct 28, 2026 – Nov 3, 2026

If available, these are route-wide vehicle-position matches for routes serving the ward. They do not locate a missed trip inside this ward or prove a cancellation. Each comparison uses scheduled trips for that same route and window.

Scheduled calls, sources and limits

35 routes · 366 stops. Timetable inventory, not trips delivered.

Cancellations at stops in this ward

Local count cannot be published

Exact stop-call evidence could not be read for Oct 28, 2026 – Nov 3, 2026. No zero is assumed.

Dates, source versions and limits

Method: retained-pre-service-exact-trip-stop-call-v1. Cancellation-feed completeness and position coverage are unverified.

The retained timetables were fetched, imported and first activated before the service day. The archive does not prove they remained the active timetables throughout that period. Comparisons between places remain unavailable.

    Verdict

    What would fix transit here

    Worked out from the routes that serve this ward. Each item names the route, when it happens, and what would change it.

    10 of 14 show repeated provider predictions later than the timetable, consistent with a possible scheduled running-time shortfall. A scheduler should test that scenario against operations; labour, fleet, recovery and transfer impacts are not established here.

    Worst here: route 24, predictions later than timetable 14:00 to 19:00, 4.3 min late.

    Best here: route 38, predictions consistently close to timetable, 92%.

    14 of 14 routes here had something measurable to report.

    Arrivals within five minutes, by hour of day, across the 14 routes graded here, last 14 days
    1. 00:00: 95.6% of final predictions within five minutes of the timetable, 2,613 predictions, typically 0.9 min late
    2. 01:00: 87.5% of final predictions within five minutes of the timetable, 2,073 predictions, typically 0.7 min late
    3. 02:00: 81.5% of final predictions within five minutes of the timetable, 1,766 predictions, typically 1 min late
    4. 03:00: 80.4% of final predictions within five minutes of the timetable, 1,748 predictions, typically 1.4 min late
    5. 04:00: 81.9% of final predictions within five minutes of the timetable, 2,709 predictions, typically 1.5 min late
    6. 05:00: 88.7% of final predictions within five minutes of the timetable, 8,177 predictions, typically 1.3 min late
    7. 06:00: 88% of final predictions within five minutes of the timetable, 20,274 predictions, typically 1.1 min late
    8. 07:00: 75.8% of final predictions within five minutes of the timetable, 28,916 predictions, typically 2 min late
    9. 08:00: 74.3% of final predictions within five minutes of the timetable, 30,815 predictions, typically 2.4 min late
    10. 09:00: 81.2% of final predictions within five minutes of the timetable, 27,986 predictions, typically 1.7 min late
    11. 10:00: 84.8% of final predictions within five minutes of the timetable, 28,830 predictions, typically 1.5 min late
    12. 11:00: 84.8% of final predictions within five minutes of the timetable, 28,917 predictions, typically 1.6 min late
    13. 12:00: 84.1% of final predictions within five minutes of the timetable, 28,799 predictions, typically 1.8 min late
    14. 13:00: 80.7% of final predictions within five minutes of the timetable, 28,689 predictions, typically 2.1 min late
    15. 14:00: 76.9% of final predictions within five minutes of the timetable, 29,646 predictions, typically 2.1 min late
    16. 15:00: 75.1% of final predictions within five minutes of the timetable, 32,115 predictions, typically 2.4 min late
    17. 16:00: 65.6% of final predictions within five minutes of the timetable, 30,904 predictions, typically 3.2 min late
    18. 17:00: 66.9% of final predictions within five minutes of the timetable, 32,550 predictions, typically 2.9 min late
    19. 18:00: 72.6% of final predictions within five minutes of the timetable, 29,656 predictions, typically 2.3 min late
    20. 19:00: 79.6% of final predictions within five minutes of the timetable, 24,969 predictions, typically 2.1 min late
    21. 20:00: 85.8% of final predictions within five minutes of the timetable, 23,911 predictions, typically 1.4 min late
    22. 21:00: 83.5% of final predictions within five minutes of the timetable, 21,666 predictions, typically 1.5 min late
    23. 22:00: 82.6% of final predictions within five minutes of the timetable, 13,707 predictions, typically 1.8 min late
    24. 23:00: 86.8% of final predictions within five minutes of the timetable, 9,026 predictions, typically 1 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 timetable2431253342323930363410 routes14:00 to 19:00 … 05:004.3 min late … 3.8 min lateMore running time
    StrengthPredictions consistently close to timetable381 routes04:00 to 00:0092%Keep what works
    ProblemWide prediction spread241 routes16:0025.5 min swingOperations, not the timetable
    ProblemOne hour has a lower prediction match2425333034263536329 routes16:00 … 19:0042% … 25%Operations, not the timetable
    ProblemPredictions earlier than timetable261 routes10:001.1 min earlyLess running time, or holding points
    StrengthObserved-position lower bound3035383431426 routesAll measured hours100%Keep what works
    CaveatCoverage gap392536331382426328 routesAll measured hours98% · 99%More observation, not a service change

    How ORLÉANS WEST-INNES 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 259 route-hours. 3 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

    81.5%

    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

    47of 259

    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

    1of 259

    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

    3.5min

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

    Operations

    Wide variation in arrival predictions calls for an operational review. Traffic, dispatch, boarding and timetable design may contribute; these predictions alone cannot identify the cause or the remedy.

    Who can fix it
    Operations, and often the road itself
    What it costs
    Cost unavailable until the operational cause and remedy are established.

    Prediction gap below twenty minutes

    99.6%

    Route-hours where the 95th-percentile eligible prediction is less than twenty minutes later than the median.

    Route-hours with wide prediction gaps

    1of 259

    Route-hours where the 95th-percentile eligible prediction is at least twenty minutes later than the median. The cause needs investigation.

    Typical prediction gap

    25.5min

    The typical gap between the 95th-percentile eligible prediction and the median in flagged route-hours.

    Service, per the imported timetable

    Scheduled transit, provider prediction agreement with the timetable, and public services in this ward.

    Provider-prediction measurenot publishedprovider prediction within five minutes of the timetable

    Provider prediction agreement

    307,271 eligible settled provider predictions are available at stops inside this ward across 19 weekdays with feed evidence. A percentage remains unavailable until the evidence reaches 500 eligible predictions and 20 such weekdays.

    2 partial-capture days not counted.

    Predictions within five minutes
    239,949
    Eligible trip-stop predictions
    307,271
    Observed days
    19 weekdays

    Which routes need closer review

    14 of the 35 routes serving this ward have enough provider-prediction evidence to compare. Lowest timetable agreement first.

    1. 32Open route
      58.3%Predictions within five minutes

      10,324 eligible predictions across the whole route

    2. 31Open route
      70.4%Predictions within five minutes

      84,254 eligible predictions across the whole route

    3. 24Open route
      71.9%Predictions within five minutes

      129,429 eligible predictions across the whole route

    4. 42Open route
      76.6%Predictions within five minutes

      54,962 eligible predictions across the whole route

    5. 25Open route
      77.3%Predictions within five minutes

      150,587 eligible predictions across the whole route

    6. 30Open route
      78.6%Predictions within five minutes

      65,676 eligible predictions across the whole route

    7. 39Open route
      81.2%Predictions within five minutes

      87,961 eligible predictions across the whole route

    8. 34Open route
      82.5%Predictions within five minutes

      66,737 eligible predictions across the whole route

    9. 33Open route
      82.7%Predictions within five minutes

      72,272 eligible predictions across the whole route

    10. 36Open route
      86.7%Predictions within five minutes

      58,193 eligible predictions across the whole route

    21 more routes here are not ranked: school, express, shopper or event service, whose schedule result does not compare the same way.

    Vehicle visibility to investigate

    Vehicle visibility to investigate

    The current summary uses seven days. For every route, you can also open yesterday, the last 7 days, or the last 30 days and inspect the day, scheduled trip, excluded feed gaps, and every observed public vehicle ID. An absence does not prove a vehicle fault or operator decision.

    Routes serving the ward

    35 scheduled routes

    Map & current service

    Current service inside this boundary

    Scheduled lines, stops, and observed buses share one map. Select a route or vehicle for details.

    Evidence & sources

    Imported municipal polygon · 64 boundary vertices · City of Ottawa ward boundaries · imported Aug 4, 2026

    ━ 35 bus routes● 366 stops
    Loading live feed

    Public amenity record for this ward

    Public washrooms and drinking water

    Choose a category to check which location details are available.
    Public washrooms (City data) 4

    The public ward snapshot publishes the count but not the individual locations for this ward. No locations are being invented.

    Drinking water (City data) 6

    The public ward snapshot publishes the count but not the individual locations for this ward. No locations are being invented.

    Rate or report an issue

    Rider evidence

    Community reports

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

    You can report without signing in. Anonymous reports count a little less when we calculate public patterns. You can add an account after submitting.

    Report a specific problem

    Emergency: call 9-1-1. Check official OC Transpo or STO notices before travelling.

    Civic evidence brief

    The identity, boundary, contacts, service scope and evidence dates behind this ward report, kept together so the page can be cited without losing its qualifications.

    Municipality
    City of Ottawa, Ontario
    Geographic unit
    Official City of Ottawa municipal ward 2: ORLÉANS WEST-INNES
    Boundary and vintage
    City ward layer · effective not published · imported August 4, 2026
    Official civic contacts
    • Laura Dudas · Councillor · source check is older than the publication threshold · source checked August 4, 2026 · official City contact source
    • Mark Sutcliffe · Mayor · source check is older than the publication threshold · source checked August 4, 2026 · official City contact source
    Relevant scheduled service
    35 public route records with a stop inside this boundary · operators: OC Transpo
    Transit evidence vintage
    Timetable import: not published · reliability window: Oct 3, 2026 – Nov 3, 2026

    A ward boundary, route inventory, destination list, population count or employment count supplies civic context. None of those values alone measures passenger demand, household trip effects, transfers or daily attendance.

    Ottawa wards are municipal wards. They are not Gatineau electoral districts, and results from the two boundary systems are not interchangeable.

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

    What is being shown

    A ward-level inventory of scheduled transit, public washrooms, drinking-water locations, and eligible final OC Transpo provider predictions at stops inside the ward.

    How it was produced

    Current imported records are assigned by point-in-polygon to the sourced ward boundary. Reliability uses one eligible final provider prediction per trip, stop, and service date in the latest 28 completed service days. Within five minutes is measured against the timetable, not a physical arrival. Publication requires 20 weekdays with prediction evidence and 500 eligible predictions.

    Evidence dates

    Imported
    Computed or assembled
    Sample
    307,271 eligible settled provider predictions across 19 weekdays with prediction evidence support the reliability result.
    Method or data version
    ward-counts-v1 + ward-stop-settled-arrivals-purpose-aware-v3
    Source checksum
    ward-reliability:9917653caf77498e0738d0707fc839f8d23ab470414624c1d602a08a71d1a280

    Sources

    Limits to keep in mind

    • Counts describe the published inventory inside the boundary, not service quality or access from every address.
    • Reliability covers final OC Transpo provider predictions at geographically assigned stops; physical arrivals are not independently measured. Rail and trips without eligible prediction evidence are not represented.
    • An unavailable count remains unavailable. It is not changed to zero.
    Suggest a factual correction
    How we measure this

    For each trip, stop and service date at stops inside the ward, we keep the last eligible OC Transpo prediction and compare it with the timetable. It counts as within five minutes when the two are no more than five minutes apart. This is not a physical arrival.

    The window is the latest 28 completed service days. A result is published only with 20 weekdays of prediction evidence and 500 eligible predictions. Route results cover each whole route, not only the part inside the ward.

    Read the full method

    Contains information licensed under the Open Government Licence – City of Ottawa.