Germany transport data

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16 datasets about transport in Germany.

Submersible bollards

Locations of the bollards, i.e. the lowerable bollard systems, in the Hanseatic and university city of Rostock

Transport · Hanse- und Universitätsstadt Rostock
Klarschiff.HRO notifications

News in Klarschiff.HRO, the portal for citizen participation of the Hanseatic and University City of Rostock

Transport · Hanse- und Universitätsstadt Rostock
Walk and bike path cleaning

Walking and cycling path cleaning according to the street cleaning statutes of the Hanseatic and University City of Rostock

Transport · Hanse- und Universitätsstadt Rostock
Sea Ports of Germany

Sea ports, harbours and ferry terminals. Useful for maritime logistics, supply-chain analysis, and coastal access planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: industrial=port, harbour, port, amenity=ferry_terminal, building=ferry_terminal - Part of the country exports on HDX by HOT

Transport · Humanitarian OpenStreetMap Team (HOT)
Airports of Germany

Airports and aviation infrastructure: airports, heliports, helipads, runways, terminals, and emergency landing sites tagged via `aeroway`, `building`, or `emergency`. Useful for logistics, evacuation routing, and aerial-response planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: aeroway, building, emergency - Part of the country exports on HDX by HOT

Transport · Humanitarian OpenStreetMap Team (HOT)
Railways of Germany

Railway lines and stations tagged `railway=*`: rail lines, tram tracks, and stations. Useful for transport accessibility analysis and basemap context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: railway - Part of the country exports on HDX by HOT

Transport · Humanitarian OpenStreetMap Team (HOT)
Roads of Germany

Road network across the area tagged `highway=*`: motorways, residential streets, service roads, footways, and trails. Useful for routing, accessibility analysis, and evacuation planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: highway - Part of the country exports on HDX by HOT

Transport · Humanitarian OpenStreetMap Team (HOT)
OGC-Winter-Routen-WMS - Landkreis Cham

A web map service of winter routes in Landkreis Cham, published by Landkreis Cham.

Transport · LandkreisCham
Traffic signs

Traffic signs (with the respective traffic sign locations) in the Hanseatic and University City of Rostock

Transport · Hanse- und Universitätsstadt Rostock
OGC-Wander-Routen-WMS - Landkreis Cham

A web map service of hiking routes in Landkreis Cham, published by Landkreis Cham. The routes relate to the Naturpark Oberer Bayerischer Wald area.

Transport · LandkreisCham
OGC-Sonder-Routen-WMS - Landkreis Cham

A web map service of special routes in Landkreis Cham, published by Landkreis Cham.

Transport · LandkreisCham
OGC-Rad-Routen-WMS - Landkreis Cham

A web map service of cycling routes in Landkreis Cham, published by Landkreis Cham.

Transport · LandkreisCham
Target timetable data Baden-Württemberg with route

In this data profile, target timetable data of bus and rail traffic in Baden-Württemberg, with route , are provided in GTFS format. The timetable data are offered in different coverage. The area "bwgesamt" includes all lines starting or ending in Baden-Württemberg. The area "migebiet" offers a larger coverage, whereby a slightly larger belt is drawn around Baden-Württemberg. The enlarged area is visible in the linked overview.The data without line history are available in the linked dataset. The zipped GTFS data is updated weekly. The timetable data that can be retrieved via the GTFS API and the GeoServer are generated daily, but they are only available on the next day due to a time offset. This also applies to the timetable data shown on the maps. Historical target timetable data Since August 2023, the target timetable data for Baden-Württemberg have been historicised. The data is available in the above update steps (1st and 3rd). Wednesday or Thursday per month) and can be obtained via the following link: List of historical target timetable data Baden-Württemberg with line history The data are available for each traffic network and for "bwgesamt". More information on the historical target timetable data can be found in the corresponding MobiData BW blog post.Vaildierungbericht von "Mobility Database"p>Diea href="https://mobilitydatabase.org/"_blank"target="_blank">"Mobility Database" from MobilityData is also an open data platform that contains publicly available data worldwide in accordance with the GTFS and GBFS specifications. As of June 2025, it includes over 4,000 data sources from more than 75 countries. There are also integrated data quality assessment tools that create detailed reports on the data quality of each individual source. As well as the target timetable data from Baden-Württemberg. available here under the tab "Open Full Quality Report" . It should be noted that only the data of the area "bwgestotal" are checked. Overview of the boardwalks >Here is the full image view of the map.ÖPNV lines by subnets-->. Access The target timetable data Baden-Württemberg are openly available and can either be downloaded as ZIP files or used via the GTFS API. In addition, queries from the GeoServer are available as CSV files under "Data & Resources". The open data set can be integrated into all information systems and maps to inform about the general timetable information.

Transport · MobiData BW
Germany: Road Surface Data

This dataset provides detailed information on road surfaces from OpenStreetMap (OSM), distinguishing between paved and unpaved roads across the region. Surface information is derived using a hybrid deep learning approach. For methodological details, see: http://arxiv.org/abs/2410.19874 Recently, we also published a new country-level dataset based on PlanetScope satellite imagery with near-complete coverage of all arterial roads. It is available on HDX under the name: "Germany: **Planet** Road Surface". The corresponding paper is available at: https://arxiv.org/abs/2512.04092 Road Surface Statistics Approximately 21.4159 million km of roads are mapped in OSM in this region. Based on AI-derived estimates: - Paved roads: 11.9981 million km (56.0243%) - Unpaved roads: 3.8254 million km (17.8622%) About 6.166 million km (28.7914%) of roads lack surface information in OSM. To reduce this gap, the Mapillary-derived surface dataset provides an additional 1.3618 million km (22.0859%) of surface information. Intended Use This dataset supports transportation planning, infrastructure assessment, climate emissions analysis, and GIS applications. AI Features - pred_class: Model-predicted surface class ("paved" or "unpaved") - pred_label: Binary label (0 = paved, 1 = unpaved) - osm_surface_class: Surface classification derived from OSM tags - combined_surface_osm_priority: Combined classification prioritizing OSM - combined_surface_DL_priority: Combined classification prioritizing DL prediction - n_of_predictions_used: Number of predictions used for estimation - predicted_length: DL-estimated length (meters) - DL_mean_timestamp: Mean timestamp of predictions OSM Attributes - name - name:en - name:* (local language) - highway - surface - smoothness - width - lanes - oneway - bridge - layer - source Urban Classification Attributes - continent - country_iso_a2 - urban (0 = rural, 1 = urban) - urban_area - osm_id - osm_type Data Sources The dataset originates from OpenStreetMap (OSM) and is augmented with deep learning predictions based on Mapillary street-level imagery, combined with the GHSU Global Human Settlement Urban Layer 2019 and AFRICAPOLIS 2020 urban layer. More HeiGIT datasets: https://data.humdata.org/organization/heidelberg-institute-for-geoinformation-technology More information: https://heigit.org/ Contact: communications@heigit.org

Transport · HeiGIT (Heidelberg Institute for Geoinformation Technology)
Park and Ride

Here you will find park and ride parking spaces in the technology region Karlsruhe. In Baden-Baden there is a real-time occupancy display.Other parking data such as car parks, free parking spaces, parking ticket parking, parking disc parking spaces and parking and carpooling are also available.

Transport · Digitale Mobilität
Parking garages

Parking garages in Karlsruhe, Rastatt, Wörth, Saverne, Haguenau, Baden-Baden, Bühl, Ettlingen, Gaggenau, Landau and Bretten with information on the number of parking spaces, lift, maximum passage height, contact data...In Baden-Baden, Ettlingen, Karlsruhe, Rastatt and Haguenau there are real-time data on the number of free parking spaces (column: free_parkplaetze). This is indicated by real-time_occupation T/F. You can also see whether the real-time status has a malfunction by the column echtzeit_status.Other parking data such as car parks, free parking spaces, parking ticket parking spaces, parking disc parking spaces and parking and ride along are also available.

Transport · Digitale Mobilität