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STO station · 3333

Station les Promenades

Buses at Station les Promenades · timetable30 秒前更新
400
400Lorrain
platform Station PROMENADES #2
尚未測量
下午3:28
來自時刻表
每 31 分鐘一班 · 按時刻表,然後 下午4:00
68
68Cégep GRoy · platform Station PROMENADES #1 · every 31 to 31 min
尚未測量
下午3:29
按時刻表,然後 下午4:00
每 7 至 11 分鐘一班 · 按時刻表,然後 下午3:39
100
100Lorrain · platform Station PROMENADES #2 · every 7 to 11 min
尚未測量
下午3:30
按時刻表,然後 下午3:39
每 5 至 8 分鐘一班 · 按時刻表,然後 下午3:35
200
200Lorrain · platform Station PROMENADES #2 · every 5 to 8 min
尚未測量
下午3:30
按時刻表,然後 下午3:35
576
576Collège NF
platform Station PROMENADES #2
尚未測量
下午3:32
來自時刻表
每 20 至 25 分鐘一班 · 按時刻表,然後 下午4:00
68
68Lorrain · platform Station PROMENADES #2 · every 20 to 25 min
尚未測量
下午3:35
按時刻表,然後 下午4:00
每 5 至 13 分鐘一班 · 按時刻表,然後 下午3:48
400
400Ottawa · platform Station PROMENADES #1 · every 5 to 13 min
尚未測量
下午3:35
按時刻表,然後 下午3:48
每 22 分鐘一班 · 按時刻表,然後 下午4:04
800
800Pob Allum · platform Station PROMENADES #1 · every 22 to 22 min
尚未測量
下午3:42
按時刻表,然後 下午4:04
18
18Lorrain
platform Station PROMENADES #2
尚未測量
下午3:42
來自時刻表
每 22 分鐘一班 · 按時刻表,然後 下午4:08
66
66Promenades · platform STATION LOCALE LES PROMENADES · every 22 to 22 min
尚未測量
下午3:46
按時刻表,然後 下午4:08
每 22 分鐘一班 · 按時刻表,然後 下午4:11
66
66La Gappe · platform STATION LES PROMENADES · every 22 to 22 min
尚未測量
下午3:49
按時刻表,然後 下午4:11
每 31 分鐘一班 · 按時刻表,然後 下午4:21
800
800Lorrain · platform Station PROMENADES #2 · every 31 to 31 min
尚未測量
下午3:50
按時刻表,然後 下午4:21
Entrances and elevators

目前無法確認電梯的狀態。

87.6% 預測與時刻表相差在五分鐘內. 2,988 eligible provider predictions; arrivals not independently measured
原因 →

More at this station

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從這裡規劃
Bike parking hereNone recorded within 5 minutes. Not recorded does not mean there is none.Bike parking: OpenStreetMap, data as of 2026年6月1日. The walk is an estimate.
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Station details

Step-free route

目前無法確認通知的涵蓋範圍。以下保留的通知,其時間或來源佐證可能未經確認。出行前,請向營運商查詢。

All elevators in the network

Buses from here

Tap a route for live buses and how full they are.

In the station

  • Washroom nearby

表現

服務提供情況 · 證據狀態

Service at STATION LES PROMENADES

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 · 0 live provider predictions

Server snapshot assembled 2026年11月4日 下午3:28; open Departures for a refreshed board. This is not a cancellation count.

Prediction agreement
87.6% 預測與時刻表相差在五分鐘內. 2,988 eligible provider predictions; arrivals not independently measured
此車站的巴士預測可靠度

結論

此車站的巴士預測可靠度

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

87.6% of final provider predictions within 5 minutes of the timetable, from 2,988 predictions over 6 weekdays. The lowest sampled hour is 16:00 at 77%.

Median predicted difference from the timetable: 1 min 晚點. At the 95th percentile: 8 min 晚點.

這是業者對 OC Transpo 和 STO 車站常規巴士到站的最終預測。實際到站情況未經獨立核實。 快線(200/500)、購物/社區線(300)、活動線(400)和學校線(600)不在計算範圍內,因為每一種都需要針對其用途設計的衡量方式。 STO 的路線也納入計算,並按各自的類別評分:Rapibus 的 100、200、400 和 800 納入計算,而編號 300 以上的 STO 學生班次則排除在外,與 OC Transpo 的 600 系列做法相同。每個營運單位只與自己的服務比較,不會與另一個單位比較。

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: 94.4% of final predictions within five minutes of the timetable, 54 predictions, typically 0.7 min late
  2. 01:00: 93.3% of final predictions within five minutes of the timetable, 30 predictions, typically 1.3 min late
  3. 02:00: not enough data
  4. 03:00: not enough data
  5. 04:00: 91.7% of final predictions within five minutes of the timetable, 36 predictions, typically 1 min late
  6. 05:00: 97.3% of final predictions within five minutes of the timetable, 75 predictions, typically 1.2 min late
  7. 06:00: 89.9% of final predictions within five minutes of the timetable, 207 predictions, typically 1 min late
  8. 07:00: 87.9% of final predictions within five minutes of the timetable, 232 predictions, typically 1 min late
  9. 08:00: 89% of final predictions within five minutes of the timetable, 191 predictions, typically 1.4 min late
  10. 09:00: 87% of final predictions within five minutes of the timetable, 177 predictions, typically 0.7 min late
  11. 10:00: 89.9% of final predictions within five minutes of the timetable, 159 predictions, typically 1.5 min late
  12. 11:00: 92.2% of final predictions within five minutes of the timetable, 166 predictions, typically 0.5 min late
  13. 12:00: 86% of final predictions within five minutes of the timetable, 143 predictions, typically 1.1 min late
  14. 13:00: 88.5% of final predictions within five minutes of the timetable, 157 predictions, typically 1.6 min late
  15. 14:00: 83.5% of final predictions within five minutes of the timetable, 139 predictions, typically 0.8 min late
  16. 15:00: 86.3% of final predictions within five minutes of the timetable, 168 predictions, typically 1.4 min late
  17. 16:00: 77% of final predictions within five minutes of the timetable, 187 predictions, typically 2.2 min late
  18. 17:00: 82% of final predictions within five minutes of the timetable, 200 predictions, typically 1.4 min late
  19. 18:00: 87.8% of final predictions within five minutes of the timetable, 156 predictions, typically 1.1 min late
  20. 19:00: 87.3% of final predictions within five minutes of the timetable, 110 predictions, typically 1.9 min late
  21. 20:00: 91.8% of final predictions within five minutes of the timetable, 97 predictions, typically 1.5 min late
  22. 21:00: 87.9% of final predictions within five minutes of the timetable, 91 predictions, typically 1.6 min late
  23. 22:00: 89.9% of final predictions within five minutes of the timetable, 89 predictions, typically 2.2 min late
  24. 23:00: 91.4% of final predictions within five minutes of the timetable, 70 predictions, typically 1.6 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

How STATION LES PROMENADES is doing

這些指標可區分重複出現的延誤,以及營運單位到站預測的變動。它們可為規劃人員和營運人員提供問題方向,但不能確定原因,也不能證明公車實際何時到達。每項數字都會顯示其路線時段的樣本數。

Measured over 22 route-hours. 0 more were observed too thinly to count, and are excluded rather than assumed good.

排班

預測一再延遲,可能表示這個時刻表值得檢討。在決定是否要調整行駛時間之前,請先查核實際到達和發車的記錄。

誰能解決
服務規劃人員
費用
在車輛、人力、回收和轉乘影響經過測試前,成本無法提供。

與時刻表接近的預測

100%

路線時段中,符合資格的到站預測中位數,早到不足一分鐘,且晚到不足三分鐘。

多次預測late的路線時段

0of 22

符合條件的到站預測中位數至少晚三分鐘的路線時段。請對照實際營運記錄,檢視行車時間。

有提早預測的路線時數

0of 22

路線小時數中,符合條件的到站預測中位數至少提早一分鐘。這不能證明巴士提早發車。

一般預測延誤

本月證據不足,無法公布此指標。

被標記路線時段中預測延誤的典型中位數;這不是可加到時刻表上的已驗證數值。

營運: not measurable here

本網站記錄的是每個站點每小時的延誤中位數,沒有百分位數,因此無法算出正常行程與糟糕行程之間的差距。這是我們自身測量方式的限制,並非對此地點的調查結果。

Measurements

計算時間: · 方法: settled-arrivals-oc-sto-conventional-v5

Station evidence and sources
Français
評分或回報問題

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.

本頁背後的證據開啟定義、方法、來源、日期、涵蓋範圍及已知限制。

所顯示的內容

目前的車站看板,由匯入的時刻表和每班次可用的營運單位預測組合而成。

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.

證據日期

計算或整合時間
樣本
40 departures across 4 published platform records in the current four-hour board.
涵蓋範圍
0 departures have a published live prediction; 40 are timetable-only.

來源

請注意的限制

  • OC Transpo 在此使用的資料中,不提供鐵路即時位置或預測,所以鐵路時間只有時刻表時間。
  • 站點資料來源沒有發布完整的車站無障礙路線、出入口或室內通道。
建議更正事實錯誤

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