Shared transit data model
GTFS preprocessing produces a shared data model for stop search, route selection and commuter planning.
Functioning Android application · Active development
IXIT connects a work start time, personal preparation, a journey and a buffer into an understandable commuter timeline. It combines an Android interface, local data modelling, GTFS preprocessing and custom routing logic.
Sole design and development: Yves Heitkamp · functioning Android prototype · no public beta
Current capabilities
GTFS preprocessing produces a shared data model for stop search, route selection and commuter planning.
Routing supports direct journeys and journeys with up to six transfers, including walking and transfer relationships between stop areas.
SQLite stop search operates in the millisecond range. A commuter timeline derives walking, departure, arrival, leaving and wake-up times.
Alarm and notification integration are backed by unit tests for routing and search logic.
Data foundation
The Germany-Switzerland dataset currently contains approximately 3.43 million trips and 61.9 million stop times. More than 2,500 cross-source stop identities have been matched to support station families, aliases and transfers.
The original source data remains separate from later application-oriented transformations.
Public demo boundaries
The public web demo uses prepared scenarios and a controlled timetable snapshot. Free address search, real-time information and the actual Android alarm are not available in the browser demo.
Try the IXIT app demo