GTFS Transit Data for Germany - rnv by Rhein-Neckar-Verkehr

Be careful - this feed has expired! (2024-09-16 - 2024-09-30)

Detailed Overview of rnv Public Transport GTFS Data

The rnv GTFS feed, provided by Rhein-Neckar-Verkehr, delivers a comprehensive dataset for public transportation in Germany. This feed, formatted in GTFS, covers an extensive network of 572 routes and 2066 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.

Be careful - this feed has expired! The feed was active from September 16, 2024 to September 30, 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 Although this GTFS feed is no longer current, it can still be a valuable resource for historical analysis, research, or for comparison with current transit data.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 rnv feed provides the precise GTFS static data required to create insightful and user-friendly transportation solutions.

Transit Data for Germany - rnv by Rhein-Neckar-Verkehr with Stops on Map

Enhanced and Corrected GTFS Data Resources (2024-09-14)

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 rnv 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: caee02c7a51ca03dd21fe757ed622acf8972c9cf
    SHA256: 794051afc7c09f519c270218dfe97bee3000b53b3a76e7d6eb31de8f5b94967e

    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 CC_BY_NС_4.0

    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 CC_BY_NС_4.0.

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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 CC_BY_NС_4.0.

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  • 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.

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Source data - (2024-09-12)

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 rnv 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.

    SHA1:4507d8bcbe28c99810fbc0c7623d3adfc7b1b5e2
    SHA256:e829b8e81aa2ecdcc31c1e00ef1884967bd3576c4e6ef7879f689efd8c9037d0

    This source data was downloaded from this link. This source data is licensed under DL-DE_BY_2.0

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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 CC_BY_NС_4.0.

    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 NameStops OverlapNumber of overlapping stops.
We calculate duplicated stops using our own formula including geographic locations
Routes OverlapNumber of overlapping routes.
We calculate duplicated routes using our own formula taking into consideration geographic locations
vrn2 (0.1%)118 (20.63%)
ulmer-eisenbahnfreunde3 (0.15%)113 (19.76%)
tuvisa-euskotran4 (0.19%)111 (19.41%)
rhein-neckar-verkehrgmbhrnv881 (42.75%)93 (16.26%)
bwgesamt2 (0.1%)89 (15.56%)