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OC Transpo station · 3035

Heron

Buses at Heron · live30 秒前更新
每 15 分鐘一班 · 然後 14 · 29(預定)
98
98Hurdman · platform 2A · every 15 to 15 min
尚未測量
現在即時
然後 14 · 29(預定)
每 15 分鐘一班 · 然後 14 · 29(預定)
111
111Baseline · platform 3A · every 15 to 15 min
尚未測量
現在即時
然後 14 · 29(預定)
每 15 分鐘一班 · 然後 14 · 40(預定)
10
10Hurdman · platform 4A · every 15 to 15 min
尚未測量
現在即時
然後 14 · 40(預定)
每 15 分鐘一班 · 然後 16 · 30(預定)
44
44Hurdman · platform 1A · every 15 to 15 min
尚未測量
1分鐘即時
然後 16 · 30(預定)
每 15 分鐘一班 · 然後 21 · 36(預定)
98
98Hawthorne · platform 1A · every 15 to 15 min
尚未測量
4分鐘即時
然後 21 · 36(預定)
每 30 分鐘一班 · 然後 36(預定)
112
112Baseline · platform 3A · every 30 to 30 min
尚未測量
4分鐘即時
然後 36(預定)
每 30 分鐘一班 · 然後 38(預定)
88
88Baseline · platform 3A · every 30 to 30 min
尚未測量
5分鐘即時
然後 38(預定)
每 15 分鐘一班 · 然後 36 · 36(預定)
44
44Billings Bridge · platform 2A · every 15 to 15 min
尚未測量
5分鐘即時
然後 36 · 36(預定)
每 32 分鐘一班 · 然後 37(預定)
10
10Main · platform 3A · every 32 to 32 min
尚未測量
5分鐘即時
然後 37(預定)
每 15 分鐘一班 · 然後 21 · 35(預定)
90
90Greenboro · platform 3A · every 15 to 15 min
尚未測量
6分鐘即時
然後 21 · 35(預定)
每 15 分鐘一班 · 然後 24 · 39(預定)
90
90Hurdman · platform 4A · every 15 to 15 min
尚未測量
9分鐘即時
然後 24 · 39(預定)
每 15 分鐘一班 · 然後 25(預定)
88
88Hurdman · platform 4A · every 15 to 15 min
尚未測量
10分鐘即時
然後 25(預定)
每 27 分鐘一班 · 然後 34(預定)
111
111Billings Bridge · platform 4A · every 27 to 27 min
尚未測量
11分鐘即時
然後 34(預定)
105
105Uplands
platform 1A
尚未測量
18分鐘即時
105
105St-Laurent
platform 2A
尚未測量
20分鐘即時
111
111Carleton
platform 4A
尚未測量
22分鐘即時
88
88Bayshore
platform 3A
尚未測量
23分鐘即時
112
112Billings Bridge
platform 4A
尚未測量
25分鐘即時
10
10Lyon
platform 3A
尚未測量
27分鐘即時
Entrances and elevators

目前無法確認電梯的狀態。

84.6% 預測與時刻表相差在五分鐘內. 6,591 eligible provider predictions; arrivals not independently measured
原因 →

More at this station

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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

No published source lists amenities here yet.

表現

服務提供情況 · 證據狀態

Service at HERON

Cancellations at this station

Local count cannot be published

Exact stop-call evidence could not be read for 2026年10月28日 – 2026年11月3日. 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.

    Departure-board snapshot
    40 listed departures · 38 live provider predictions

    Server snapshot assembled 2026年11月4日 下午1:27; open Departures for a refreshed board. This is not a cancellation count.

    Prediction agreement
    84.6% 預測與時刻表相差在五分鐘內. 6,591 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.

    84.6% of final provider predictions within 5 minutes of the timetable, from 6,591 predictions over 6 weekdays. The lowest sampled hour is 17:00 at 79%.

    Median predicted difference from the timetable: 1 min 晚點. At the 95th percentile: 9 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: 97.5% of final predictions within five minutes of the timetable, 118 predictions, typically 0.5 min late
    2. 01:00: 90.6% of final predictions within five minutes of the timetable, 53 predictions, typically 1.2 min late
    3. 02:00: not enough data
    4. 03:00: not enough data
    5. 04:00: 98.2% of final predictions within five minutes of the timetable, 56 predictions, typically 0.1 min late
    6. 05:00: 86.9% of final predictions within five minutes of the timetable, 176 predictions, typically 1.7 min late
    7. 06:00: 87.4% of final predictions within five minutes of the timetable, 325 predictions, typically 1.4 min late
    8. 07:00: 87.3% of final predictions within five minutes of the timetable, 417 predictions, typically 1.6 min late
    9. 08:00: 79.9% of final predictions within five minutes of the timetable, 417 predictions, typically 1.9 min late
    10. 09:00: 82% of final predictions within five minutes of the timetable, 422 predictions, typically 1.3 min late
    11. 10:00: 87.5% of final predictions within five minutes of the timetable, 391 predictions, typically 1.5 min late
    12. 11:00: 85.3% of final predictions within five minutes of the timetable, 402 predictions, typically 1.3 min late
    13. 12:00: 86.6% of final predictions within five minutes of the timetable, 397 predictions, typically 1.5 min late
    14. 13:00: 86% of final predictions within five minutes of the timetable, 364 predictions, typically 1.5 min late
    15. 14:00: 81.2% of final predictions within five minutes of the timetable, 373 predictions, typically 1.7 min late
    16. 15:00: 79.6% of final predictions within five minutes of the timetable, 378 predictions, typically 1.7 min late
    17. 16:00: 79.5% of final predictions within five minutes of the timetable, 376 predictions, typically 1.9 min late
    18. 17:00: 78.6% of final predictions within five minutes of the timetable, 359 predictions, typically 2.1 min late
    19. 18:00: 84.4% of final predictions within five minutes of the timetable, 326 predictions, typically 1.2 min late
    20. 19:00: 82.1% of final predictions within five minutes of the timetable, 274 predictions, typically 1.5 min late
    21. 20:00: 86.1% of final predictions within five minutes of the timetable, 259 predictions, typically 1.2 min late
    22. 21:00: 87% of final predictions within five minutes of the timetable, 262 predictions, typically 1.2 min late
    23. 22:00: 89.9% of final predictions within five minutes of the timetable, 217 predictions, typically 1.4 min late
    24. 23:00: 90.3% of final predictions within five minutes of the timetable, 185 predictions, typically 0.7 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 HERON 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
    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
    38 departures have a published live prediction; 2 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.