Depart
Door to door, at a glance.
Public-transport navigation for Meta Ray-Ban Display glasses. See the next departures, plan a trip from one address to another, and get guided street by street and platform by platform, without taking out your phone.
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What it does
Everything you need to catch your train, and nothing you don’t.
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Departure boards
The next trains at a saved or nearby station, with platforms, delays and cancellations.
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Door to door
Address to address by train, S-Bahn, U-Bahn, tram, bus and ferry, plus walking and cycling, with a few good options to choose from.
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Leave now, or arrive by
Plan for a time that suits you: leave at a set time, or get there by one.
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Live guidance
Where you are and what’s next: turn-by-turn walking with street names, platform countdowns and optional spoken directions.
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Ask Meta AI
Ask Meta AI to plan a route or find stations nearby, and Depart opens on the answer.
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Made for a glance
Bright text on a see-through display, one clear line per step, and controls built for the Neural Band.
On the glasses
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Trip options, with the earliest arrival marked. -
Every leg of the trip on one screen. -
Turn-by-turn, street by street.
Credits
Depart is built on open data and open-source work. Thank you to:
- Maps and placesMap data © OpenStreetMap contributors, under the Open Database Licence (ODbL). Streets, places and walking directions come from it.
- Journey planningMOTIS, MIT licence.
- Timetables and realtimeOpen transit feeds for each region, such as gtfs.de (realtime data CC BY-SA 4.0). The app credits the sources for its region in Settings.
- German stationsStation data from DB InfraGO AG, CC BY 4.0, via db-hafas-stations (ISC), with coordinates from OpenStreetMap contributors (ODbL).
- German departuresDeutsche Bahn, via db-vendo-client (ISC).
- Place searchAddress word lists from libpostal (MIT), and place popularity from QRank (CC0), joined through OpenStreetMap (ODbL).