GTFS Transit Data for Germany - verkehrsverbund-rhein-sieg by Willkommen-OpenData-OPNV

Be careful - this feed has expired! (2022-12-11 - 2023-06-11)

Detailed Overview of verkehrsverbund-rhein-sieg Public Transport GTFS Data

The verkehrsverbund-rhein-sieg GTFS feed, provided by Willkommen-OpenData-OPNV, delivers a comprehensive dataset for public transportation in Germany. This feed, formatted in GTFS, covers an extensive network of 586 routes and 6946 stops, making it indispensable for developers and transit enthusiasts working with detailed transit data and transport information.

With 25 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 141353.0 km.

Be careful - this feed has expired! The feed was active from December 11, 2022 to June 11, 2023. Although this GTFS feed is no longer current, it can still be a valuable resource for historical analysis, research, or for comparison with current transit data.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 verkehrsverbund-rhein-sieg feed provides the precise GTFS static data required to create insightful and user-friendly transportation solutions.

Transit Data for Germany - verkehrsverbund-rhein-sieg by Willkommen-OpenData-OPNV with Stops on Map

Enhanced and Corrected GTFS Data Resources (2024-11-30)

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 verkehrsverbund-rhein-sieg 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: 91692fe38783e12965ecc39dd10ec738bf9920aa
    SHA256: f3e1f1cba43f309875f16693fe1bda2422eada4756d6cec665add0be885a4aa4

    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:

  • Alongside our GTFS data, we also provide a processed OSM map file with cropped geometry, optimized for efficient use in various applications. This map is ideal for detailed spatial analysis and integration with GTFS data. The file is licensed under the Open Database License 1.0, ensuring you have the freedom to use, modify, and share the data with proper attribution.

    Download Now:

Source data - (2023-01-10)

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 verkehrsverbund-rhein-sieg 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: 79949d6488718ae19c47b071ffd3ebdca5f0cc86
    SHA256: 0c280741a5fcd6f7c17e2f5776743a576d9caa148f04feb02758f2033eb27b32

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

    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
vrs2 5773 (83.11%) 501 (85.49%)
ulmer-eisenbahnfreunde 96 (1.38%) 434 (74.06%)
nrw 10 (0.14%) 419 (71.5%)
tuvisa-euskotran 79 (1.14%) 413 (70.48%)
vrr 5 (0.07%) 15 (2.56%)
verkehrsverbund-stuttgart 3 (0.04%) 12 (2.05%)
aaechener - 6 (1.02%)
avv 27 (0.39%) 4 (0.68%)