BayesianBahn
• A route is found for 86% of journeys instead of 82%, and for 73% instead of 57% at large stations. The search now weighs every possible change, not just the first trains to leave.
• Routes arrive 5 minutes earlier on average.
• Busy stations no longer fill the list with trains that have already left.
• A warning shows when DB reports a disruption on your route.
Fixed: picking a date searched from 06:00 instead of the time on the button.
times and connections with DB's official apps.
BayesianBahn predicts when you will actually arrive — as a full
probability distribution, not a single number.
Enter where you start, where you want to go and when (also future trips):
the app searches direct trains and journeys with one change — routes
needing two or more changes are not covered yet, so it will sometimes
find fewer connections than DB's own apps. For each option it shows:
* the median predicted arrival time at your destination,
* an 80% credible interval,
* the full delay distribution as a chart,
* the probability of catching each connecting train,
* a Deutschland-Ticket filter that keeps you on regional trains.
Transfers are propagated with Bayes' theorem: you board the first
connecting train that has not left yet — so a delayed earlier train
counts as catchable, and a missed connection honestly shifts the whole
distribution. Live station boards and per-train predictions (including
cancellation rates) are also available.
Predictions are empirical: they come from months of real historical runs
of that exact train at that station (collected from Deutsche Bahn's
public IRIS API, CC BY 4.0), reweighted for recency and weekday. When
DB reports an actual delay the forecast is anchored on it; when it
reports nothing — which it does for most trains until shortly before
departure — the history is left to speak for itself, which measurably
beats treating the timetable as a forecast. Delay history updates
in-app — a small daily data release keeps predictions fresh to within a
day. Trains without history get an honest Bayesian prior estimate.
The app talks only to the keyless public IRIS timetable endpoint and the
project's own data releases, needs no account, no API key, no Google
services, and collects no data.
Анти-функции
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- Автор: DerWeh
- Лицензия: MIT License
- Отслеживание проблем
- Исходный код
- Список изменений
- Метаданные сборки
- Статус воспроизводимости
Версии
Можно выбрать загрузку приложения в виде APK (доступно по ссылкам ниже), однако следует помнить, что при такой установке вы не сможете получать уведомления об обновлениях, и что это менее безопасный способ скачивания. Советуем установить приложение F-Droid и использовать его.
Скачать-
arm64-v8aarmeabi-v7ax86x86_64Для этой версии требуется Android 8.0 или новее.
Cобрана и подписана оригинальным разработчиком и гарантированно соответствует этому исходному коду.
Скачать APK 5 МиБ Подпись PGP | Журнал сборки
-
arm64-v8aarmeabi-v7ax86x86_64Для этой версии требуется Android 8.0 или новее.
Cобрана и подписана оригинальным разработчиком и гарантированно соответствует этому исходному коду.
Скачать APK 5 МиБ Подпись PGP | Журнал сборки
-
arm64-v8aarmeabi-v7ax86x86_64Для этой версии требуется Android 8.0 или новее.
Cобрана и подписана оригинальным разработчиком и гарантированно соответствует этому исходному коду.
Скачать APK 5.0 МиБ Подпись PGP | Журнал сборки
• The interface is now available in German.
the F-Droid listing picks up the app icon, which was missing: the app
carries an adaptive icon, which is all a phone needs, but the listing
is built from a plain image and there was none to find.