GTFS Transit Data for Germany - swu by SWU-Verkehr

Be careful - this feed has expired! (2023-12-10 - 2024-12-15)

Detailed Overview of swu Public Transport GTFS Data

The swu GTFS feed, provided by SWU-Verkehr, delivers a comprehensive dataset for public transportation in Germany. This feed, formatted in GTFS, covers an extensive network of 21 routes and 508 stops, making it indispensable for developers and transit enthusiasts working with detailed transit data and transport information.

With 1 operators contributing to this GTFS static feed, it ensures broad coverage and up-to-date scheduling in the GTFS format for a wide array of public transit options. The data spans a significant geographical area, primarily focusing on Germany, as shown on the map, with routes extending over a total distance of 1182.9 km.

Be careful - this feed has expired! The feed was active from December 10, 2023 to December 15, 2024. Although this GTFS feed is no longer current, it can still be a valuable resource for historical analysis, research, or for comparison with current transit data.

Whether planning a journey or conducting transport research, the swu feed provides the precise GTFS static data required to create insightful and user-friendly transportation solutions.

Transit Data for Germany - swu by SWU-Verkehr with Stops on Map

Enhanced and Corrected GTFS Data Resources (2025-01-23)

Our team has addressed the most critical bugs in the dataset and rectified any inconsistencies to ensure optimal data quality.

Review our procedures list by clicking on the following link.

  • Our latest version of the swu GTFS feed has been fully corrected and enriched, ensuring it meets the highest GTFS standards. This updated feed addresses critical bugs and errors, providing accurate and reliable transit data for Germany. Our team has followed a detailed list of procedures to bring the source data up to GTFS format standards, making it indispensable for developers and transit planners.

    SHA1: 374fefe7f33db2375c6573dc1d9051bf8736de9f
    SHA256: 5eeeea669a6cc7440a9808edda10a41e2f7a623a35ace5f8c91e43f990959887

    You can download the latest improved GTFS feed, now free of inconsistencies, ensuring that your project has the best data available. This work is licensed under a Busmaps_licence_v1..

    Download Now:

  • We’ve included a detailed GTFS data validation report, offering insights into any errors or warnings within the feed. This report is crucial for developers working with GTFS static data, ensuring that your applications and analyses are based on clean and accurate information. This work is licensed under a Busmaps_licence_v1..

    Download Now:

  • For advanced users, we have also prepared the transit data in GeoJSON format, compatible with open-source tools like QGIS. This format is perfect for those requiring enhanced spatial analysis capabilities alongside their GTFS data. This work is licensed under a Busmaps_licence_v1..

    Download Now:

Source data - (2024-01-24)

We obtain the GTFS directly from official sources, but it may contain errors or be unsuitable for use.

Check the source and improved validation files to observe the disparities.

  • The swu GTFS feed contains the original source data directly obtained from official providers in Germany, formatted in the GTFS standard. This data serves as the foundation for public transit applications and transit research. While it offers a comprehensive base, it is recommended to carefully review the data, as it may contain errors or inconsistencies that could impact its immediate usability.

    SHA1: 3162cbc93ba34a3e0e6d8bc99b353c29882b8249
    SHA256: 4690e3f4ed9a01604a098c2cb77be99fcd99708b1deccec5e512e0872e1c10b4

    This source data was downloaded from this link. This source data is licensed under CC0_1.0

    Download Now:

  • To ensure a clear understanding of the integrity of the original source data, we provide a detailed mobility data validation report. This report highlights any errors or warnings found in the source GTFS data, offering insight into areas that may require attention during data usage.

    This validation work is licensed under Busmaps_licence_v1..

    Download Now:

All data presented on this site is sourced from publicly available sources by our team of content managers. If you believe that a file has been posted in error or that an incorrect license has been attributed, please contact us at [email protected]. We will review your concerns promptly and take appropriate action.

Overlapping feeds

Feed Name Stops Overlap Number of overlapping stops.
We calculate duplicated stops using our own formula including geographic locations
Routes Overlap Number of overlapping routes.
We calculate duplicated routes using our own formula taking into consideration geographic locations
bwgesamt - 17 (80.95%)
ulmer-eisenbahnfreunde - 17 (80.95%)
tuvisa-euskotran - 13 (61.9%)