Cross-border railway lines France-Germany in 2026
This dataset presents planned cross-border railway lines connecting France and Germany for the year 2026. It draws on data sources from SNCF Grand Est, Deutsche Bahn (DB), and the Ministerium für Umwelt Saarland (Saarland Ministry of the Environment), with harmonization carried out under the SIG-GR / GIS-GR cross-border geographic information system initiative. The dataset is published via the Luxembourg open data portal and is intended for use in cross-border transport planning and geographic analysis involving the France-Germany rail network.Cross-border railway lines France-Germany in 2026 - Data sources: SNCF Grand Est, DB, Ministerium für Umwelt Saarland. Harmonization: SIG-GR / GIS-GR 2026
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (7 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| objectid | int | Internal record identifier.Internal record identifier. |
| line | text | Name and route of the cross-border railway line.Name and route of the cross-border railway line. |
| operator | text | Railway company or companies operating the line.Railway company or companies operating the line. |
| de_frequencyDe frequency | text | Service frequency of the line, described in German.Service frequency of the line, described in German. |
| fr_frequencyFr frequency | text | Service frequency of the line, described in French.Service frequency of the line, described in French. |
| en_frequencyEn frequency | text | Service frequency of the line, described in English.Service frequency of the line, described in English. |
| timetable | text | Link to the official timetable for the line.Link to the official timetable for the line. |
Schema captured from udata 7 days ago.
Query the data
Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.
Sample data (4 records)
| objectid | line | operator | de_frequency | fr_frequency | en_frequency | timetable |
|---|---|---|---|---|---|---|
| 1 | 15 (TER) / RE 18 (DB) Metz - Rémilly - Forbach - Saarbrücken | TER/DB | ≥ 9 Hin- und Rückfahrten am Tag | ≥ 9 aller-retours par jour | ≥ 9 return trips per day | https://www.ter.sncf.com/grand-est/se-deplacer/fiches-horaires |
| 2 | 20 (TER) / RE19 (DB) Strasbourg - Sarreguemines - Saarbrücken | TER/DB | < 9 Hin- und Rückfahrten am Tag | < 9 aller-retours par jour | < 9 return trips per day | https://www.ter.sncf.com/grand-est/se-deplacer/fiches-horaires |
| 3 | S1 (Saarbahn) Sarreguemines - Saarbrücken - Lebach/Jabach | Saarbahn | ≥ 9 Hin- und Rückfahrten am Tag | ≥ 9 aller-retours par jour | ≥ 9 return trips per day | https://www.saarbahn.de/fahrplan/flyer_der_einzelnen_linien |
| 4 | 02 (TER) / RE16 (DB) Metz - Thionville - Apach - Perl - Trier | TER/DB | < 9 Hin- und Rückfahrten am Tag | < 9 aller-retours par jour | < 9 return trips per day | https://www.ter.sncf.com/grand-est/se-deplacer/fiches-horaires |
Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Query examples
curl -sL 'https://data.public.lu/fr/datasets/r/b1a3ed0f-4d2a-4f6d-9f16-7709e7cd0454' -o data.jsonFull data file download — the schema shown was inferred from the file's first records.
Dataset
License
No license declared upstream.
Distributions (6)
cross-border-trains-france-germany-2026.shp.zip
https://data.public.lu/fr/datasets/r/326ae7f1-48ba-43ae-9065-b2daab2abbd7Source page14 KB
cross-border-trains-france-germany-2026.gpkg
https://data.public.lu/fr/datasets/r/913b18a0-e551-4dc6-abf2-4183e3896454Source page108 KB
cross-border-trains-france-germany-2026.geojson
https://data.public.lu/fr/datasets/r/b1a3ed0f-4d2a-4f6d-9f16-7709e7cd0454Source page36 KB
Link to the Geocatalogue (Lignes ferroviaires transfrontalières France-Allemagne 2026)
https://data.public.lu/fr/datasets/r/c3834bd0-adaf-48f3-a7fa-907a7ad3f6d2Source pageLink to interactive map
https://data.public.lu/fr/datasets/r/c571f87d-1272-4b48-9e4d-9992e5832914Source pageSource: data.public.lu · Open original page
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.