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Topological database of transit objets[edit]


Public transit data is often represented in the GTFS format by the data producer.

That file contains information about stops, routes and timetables.

This database has the ambition to hold all the topological information (stops, relationships between the stops and lines, networks, etc.) but not the timetables, worldwide.


While a single GTFS file is often enough for a local information, we sometimes need to:

  • improve the data (sometimes according to subjective point of view)
  • link two datasets from two different transit operators
  • link the data to other databases (like OpenStreetMap
  • suggest improvement in the data (geo-localisation fix, name improvements…)


We use the semantic database that runs WikiBase.

By whom[edit]

This instance is for now an experiment and not the final version. It is operated by the team, but we hope it will be managed by a community in a later stage.

Every contribution is more than welcome.


We developped tools to import GTFS files:

With this tool we imported all the French open data GTFS (about 50,000 stop areas and 150,000 stop points).

Next steps include:

  • automatically import new files
  • be able to generate an improved GTFS file (better names…)
  • generate a GTFS files where the shape are extracted from OpenStreetMap
  • build tools to suggest that two stop points from two GTFS file refer to the same entity


Some figures on the datasets loaded:

Number of loaded datasets:

02:15:04 08/08/2020 -- Refresh -- Duration of query :0.145s -- CSV

Number of stop areas:

02:15:05 08/08/2020 -- Refresh -- Duration of query :0.43s -- CSV

Number of stop points:

02:15:06 08/08/2020 -- Refresh -- Duration of query :0.763s -- CSV

Number of routes:

02:15:06 08/08/2020 -- Refresh -- Duration of query :0.11s -- CSV


Here is an example of the stops we have for Cara'bus, the Royan public transport network: