GTFS Transit Data for Germany - vmt by Verkehrsverbund-Mittelthuringen

Detailed Overview of vmt Public Transport GTFS Data

The vmt GTFS feed, provided by Verkehrsverbund-Mittelthuringen, delivers a comprehensive dataset for public transportation in Germany. This feed, formatted in GTFS, covers an extensive network of 780 routes and 12198 stops, making it indispensable for developers and transit enthusiasts working with detailed transit data and transport information.

With 41 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.

Valid from December 1, 2024 to July 1, 2025, this GTFS feed is a reliable resource for any project needing accurate and structured public transit data, whether you’re using a GTFS editor, building a transit app, or integrating GTFS realtime (GTFS RT) data into your systems.

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

Transit Data for Germany - vmt by Verkehrsverbund-Mittelthuringen with Stops on Map

Enhanced and Corrected GTFS Data Resources (2025-01-14)

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 vmt 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: 4201b5999f6e28f4939d96d727e2df3bf0adc1e6
    SHA256: e72e3cbf9b20e62a9305b29762daf7d39515526e9fe6bc4ffa1abe31623aa488

    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..

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  • 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..

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  • 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..

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Source data - (2025-01-13)

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 vmt 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: e1771069bfbe6d5589879700ef0bbb58ebef695e
    SHA256: e16ea84376e6432f3e9d8b91ede54c66ac87069dccef0c89a1b70968a3b2e9a6

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

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  • 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
ulmer-eisenbahnfreunde 11119 (91.65%) 765 (98.08%)
verkehrsverbund-mittelth-ringen 10558 (87.03%) 688 (88.21%)
tuvisa-euskotran 5353 (44.12%) 687 (88.08%)
verkehrsverbund-stuttgart 200 (1.65%) 27 (3.46%)
toplevel-dhid-siflecehpr 44 (0.36%) 11 (1.41%)
nah-sh-siflecehpr 27 (0.22%) 4 (0.51%)
mdv 37 (0.3%) -
deutschen-bahn 11 (0.09%) -
deutsche-bahn 8 (0.07%) -
vms 6 (0.05%) -
baden-wuerttemberg 3 (0.02%) -
bwgesamt 3 (0.02%) -