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1O-Train Line 1 · station 3025

St-Laurent

Trains · timetable准点晚点无读数
每 6 分钟一班 · 按时刻表，之后 13:14
1
1Tunney's Pasture · platform 1
尚未测量
13:08
按时刻表，之后 13:14
每 6 分钟一班 · 按时刻表，之后 13:16
1
1Blair · platform 2
尚未测量
13:10
按时刻表，之后 13:16
Buses at St-Laurent · live30 秒前更新
每 14 至 16 分钟一班 · 按时刻表，之后 13:20
14
14St-Laurent · platform C · every 14 to 16 min
尚未测量
13:08
按时刻表，之后 13:20
每 30 分钟一班 · 按时刻表，之后 13:40
24
24St-Laurent · platform C · every 30 to 30 min
尚未测量
13:10
按时刻表，之后 13:40
每 28 分钟一班 · 按时刻表，之后 13:39
105
105St-Laurent · platform B · every 28 to 28 min
尚未测量
13:11
按时刻表，之后 13:39
18
18St-Laurent
platform B
尚未测量
13:11
来自时刻表
每 14 分钟一班 · 然后按时刻表 18
14
14Tunney's Pasture · platform D · every 14 to 14 min
尚未测量
4分钟实时
然后按时刻表 18
每 15 分钟一班 · 按时刻表，之后 13:29
41
41St-Laurent · platform B · every 15 to 15 min
尚未测量
13:14
按时刻表，之后 13:29
每 16 分钟一班 · 按时刻表，之后 13:30
7
7St-Laurent · platform C · every 16 to 16 min
尚未测量
13:14
按时刻表，之后 13:30
每 14 分钟一班 · 按时刻表，之后 13:28
40
40St-Laurent · platform B · every 14 to 14 min
尚未测量
13:14
按时刻表，之后 13:28
18
18Billings Bridge
platform D
尚未测量
13:16
来自时刻表
20
20Rideau
platform D
尚未测量
13:17
来自时刻表
每 15 分钟一班 · 然后按时刻表 24
7
7Carleton · platform D · every 15 to 15 min
尚未测量
9分钟实时
然后按时刻表 24
40
40Elmvale
platform A
尚未测量
12分钟实时
105
105Uplands
platform A
尚未测量
14分钟实时
24
24Chapel Hill
platform A
尚未测量
15分钟实时
19
19Parliament ~ Parlement
platform D
尚未测量
15分钟实时
41
41Billings Bridge
platform A
尚未测量
19分钟实时
20
20St-Laurent
platform C
尚未测量
13:35
来自时刻表
40
40Greenboro
platform A
尚未测量
27分钟实时
19
19Hurdman
platform A
尚未测量
33分钟实时
Entrances and elevators

目前我们无法确认电梯的状态。

83% 预测与时刻表相差在五分钟以内. 3,463 eligible provider predictions; arrivals not independently measured
原因 →

More at this station

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从这里规划
Bike parking here4 places within 5 min · nearest: Bike parking, 步行 1 分钟Bike parking: OpenStreetMap, data as of 2026年6月1日. The walk is an estimate.
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Report a station problemSent to our station log and counted on this page
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Station details

Step-free route

目前无法确认通告的覆盖范围。下方保留的通告，其时间或来源数据可能未经确认。出行前，请向运营商核实。

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.

表现

服务运行情况 · 证据状态

Service at ST-LAURENT

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 · 11 live provider predictions

    Server snapshot assembled 2026年11月4日 13:08; open Departures for a refreshed board. This is not a cancellation count.

    Prediction agreement
    83% 预测与时刻表相差在五分钟以内. 3,463 eligible provider predictions; arrivals not independently measured
    本站公交车预测的可靠性

    结论

    本站公交车预测的可靠性

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

    83% of final provider predictions within 5 minutes of the timetable, from 3,463 predictions over 6 weekdays. The lowest sampled hour is 16:00 at 66%.

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

    这是运营方对 OC Transpo 和 STO 车站常规公交到站的最终预测。实际到站情况没有经过独立核实。 快线 (200/500)、购物/社区线 (300)、活动线 (400) 和学校线 (600) 不在范围内,因为每一类都需要专门的衡量方法。 STO 的线路也已纳入，并按各自的类别分级：Rapibus 100、200、400 和 800 线计入，编号为 300 及以上的 STO 校车班次则不计入，与 OC Transpo 的 600 系列做法相同。每家运营方只按自己的服务来衡量，绝不与另一家比较。 This station also has 1 O-Train line. This line is not included because OC Transpo does not publish realtime rail data.

    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: 76.3% of final predictions within five minutes of the timetable, 59 predictions, typically 3.2 min late
    2. 01:00: not enough data
    3. 02:00: not enough data
    4. 03:00: not enough data
    5. 04:00: 83.6% of final predictions within five minutes of the timetable, 55 predictions, typically 0.9 min late
    6. 05:00: 93.1% of final predictions within five minutes of the timetable, 116 predictions, typically 1.4 min late
    7. 06:00: 90.2% of final predictions within five minutes of the timetable, 214 predictions, typically 2.3 min late
    8. 07:00: 93.8% of final predictions within five minutes of the timetable, 192 predictions, typically 1.7 min late
    9. 08:00: 79.7% of final predictions within five minutes of the timetable, 241 predictions, typically 2.4 min late
    10. 09:00: 80.6% of final predictions within five minutes of the timetable, 206 predictions, typically 2.3 min late
    11. 10:00: 85.9% of final predictions within five minutes of the timetable, 205 predictions, typically 1.7 min late
    12. 11:00: 83.6% of final predictions within five minutes of the timetable, 219 predictions, typically 2.5 min late
    13. 12:00: 83.6% of final predictions within five minutes of the timetable, 207 predictions, typically 2.5 min late
    14. 13:00: 85.2% of final predictions within five minutes of the timetable, 182 predictions, typically 2.5 min late
    15. 14:00: 87.4% of final predictions within five minutes of the timetable, 182 predictions, typically 2 min late
    16. 15:00: 73.7% of final predictions within five minutes of the timetable, 167 predictions, typically 3.1 min late
    17. 16:00: 65.6% of final predictions within five minutes of the timetable, 180 predictions, typically 3.6 min late
    18. 17:00: 73.1% of final predictions within five minutes of the timetable, 182 predictions, typically 3.4 min late
    19. 18:00: 83.7% of final predictions within five minutes of the timetable, 166 predictions, typically 2.6 min late
    20. 19:00: 90.3% of final predictions within five minutes of the timetable, 155 predictions, typically 2.4 min late
    21. 20:00: 82% of final predictions within five minutes of the timetable, 139 predictions, typically 2.7 min late
    22. 21:00: 85% of final predictions within five minutes of the timetable, 127 predictions, typically 2.8 min late
    23. 22:00: 79.8% of final predictions within five minutes of the timetable, 109 predictions, typically 2.9 min late
    24. 23:00: 84.5% of final predictions within five minutes of the timetable, 84 predictions, typically 2.6 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
    Findings
    What时间已测量Scenario or next investigation
    ProblemPredictions later than timetable00:003.2 min lateRunning time on the routes here
    ProblemPredictions later than timetable15:00 to 18:003.4 min lateRunning time on the routes here
    ProblemOne hour has a lower prediction match16:0066%Operations in that hour

    How ST-LAURENT is doing

    这些指标把反复出现的延误与运营方到达预测的波动区分开来。它们可为规划人员和运营人员提供可探讨的问题，但不能确定原因，也不能证明公共汽车何时到达。每个数字都显示其线路时段样本。

    Measured over 21 route-hours. 0 more were observed too thinly to count, and are excluded rather than assumed good.

    排班

    如果多次出现预测晚点，可能说明时刻表值得检查。在决定是否调整运行时间之前，请先查看实际到达和发车记录。

    谁能解决
    服务规划人员
    费用
    在车队、人力、恢复和换乘的影响测试完成之前，成本暂不可知。

    与时刻表接近的预测

    81%

    线路小时中，符合条件的到站预测中位数早于实际不到一分钟，且晚于实际不到三分钟。

    多次预计晚点的线路时段

    4of 21

    路线小时数：符合条件的到达预测中位数至少晚点三分钟。请对照实际运营记录检查运行时间。

    有提前预测的线路小时数

    0of 21

    线路-小时中，符合条件的到站预测中位数至少提前一分钟的部分。这并不能证明公交车提前发车。

    典型预测延误

    3.3min

    在被标记的线路时段中，预测延误的典型中位数。这不是可直接加到时刻表上的经过验证的数值。

    运营: not measurable here

    本网站记录的是某个站点每小时的延误中位数，没有百分位数，所以无法算出正常行程与糟糕行程之间的差距。这是我们自身测量方式的限制，不是对这个地方的结论。

    Measurements

    计算时间: · 方法: settled-arrivals-oc-sto-conventional-v5

    Predictions later than timetable · 00:00
    Median delay 3.2 min
    Measured arrivals 59
    准点 76.3%
    Predictions later than timetable · 15:00 to 18:00
    Median delay 3.4 min
    Measured arrivals 529
    准点 73.1%
    One hour has a lower prediction match · 16:00
    准点 65.6%
    Other hours on time 83.7%
    Measured arrivals 180

    O-Train 数据

    我们了解的本地列车服务情况

    打开列车观察报告

    公共数据源中没有列车

    公交准点报告将存档的到站预测与已公布的时刻表进行比较。报告不统计独立测得的实际到站情况。Otranspo 没有可用于这些报告的同类公开列车位置数据，因此这些公交数据无法显示列车在哪里，也无法说明 1 号线、2 号线和 4 号线是否准点。

    公布列车位置、时间戳和测量方法，有助于另外建立可核实的轨道服务记录。缺少这份数据，并不能说明列车运行得如何。

    近期共享的列车观测

    这些是经审核员批准的乘客目击记录。它们显示乘客报告的时间和地点。它们不是列车的官方位置，不是完整的列车数量，也不能证明原因。

    在最近 31 天内，没有与该地点或线路相符的已核准乘客观察记录。这并不表示没有列车运行，或没有发生问题。

    分享您的所见查看所有官方服务警报查看列车研究和历史
    Station evidence and sources
    Français
    评价或报告问题

    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.

    本页的佐证数据打开定义、方法、来源、日期、覆盖范围和已知限制。

    这里显示的内容

    当前车站时刻板,由导入的时刻表和每个班次可用的运营方预测汇总而成。

    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.

    数据日期

    计算或汇总时间
    样本
    40 departures across 6 published platform records in the current four-hour board.
    覆盖范围
    11 departures have a published live prediction; 29 are timetable-only.

    来源

    请注意的局限

    • OC Transpo 在此处使用的数据源中不提供轨道交通的实时位置或预测,因此轨道交通时间仅为时刻表时间。
    • 该站点数据源没有发布完整的车站无障碍通道链、出入口或室内路径。
    提出事实更正建议

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