GTFS Transit Data for Germany - fahrplanauskunft by Mejnchner-Verkehrs-und-Tarifverbund

Detailed Overview of fahrplanauskunft Public Transport GTFS Data

The fahrplanauskunft GTFS feed, provided by Mejnchner-Verkehrs-und-Tarifverbund, delivers a comprehensive dataset for public transportation in Germany. This feed, formatted in GTFS, covers an extensive network of 521 routes and 11601 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.

Valid from December 16, 2024 to February 17, 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 fahrplanauskunft feed provides the precise GTFS static data required to create insightful and user-friendly transportation solutions.

Transit Data for Germany - fahrplanauskunft by Mejnchner-Verkehrs-und-Tarifverbund with Stops on Map

Enhanced and Corrected GTFS Data Resources (2025-01-27)

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 fahrplanauskunft 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: c6be920ce7725a4fb6072f2eff07e43ad9ca9151
    SHA256: 7d6afa7c4931c33b3eb187b74e44af4a95347ce15b7cd8bc63c0f0bfcba34b66

    You can download the latest improved GTFS feed, now free of inconsistencies, ensuring that your project has the best data available. The license for this work is not specified.

    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. The license for this work is not specified.

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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. The license for this work is not specified.

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Source data - (2024-12-18)

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 fahrplanauskunft 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: 33dad6ff1a92d2c40c395d3cce9c269339241a79
    SHA256: 3953075c077af19e2d5d0cbfcc66a0a1dc1c60716d65db4417d49de46b5e9f16

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

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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.

    The license for this work is not specified.

    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 10113 (87.18%) 511 (98.08%)
tuvisa-euskotran 9014 (77.71%) 506 (97.12%)
mvg-munchen 17 (0.15%) -