Data Categories
Traffic Information
| Data product | Description | Data supplier |
|---|---|---|
| Accident events | Hazard information such as dangerous events or conditions like accidents, broken down vehicles, poor visibility and slippery roads generated by the vehicle sensors | German car manufacturer |
| Traffic flow data | Speeds, position of individual vehicles | German car manufacturer |
| Danger warnings | Heavy rain warnings, slippery spots, etc. | German car manufacturer |
| Dangerous slowdown | Each event is generated out of respective vehicle signals in a completely anonymized way. The events are provided for a geographic rectangle covering Europe. The dataset contains events of the last 30 minutes and gets updated every 5 minutes. | German car manufacturer |
| Hazardous braking | Each event is generated out of respective vehicle signals in a completely anonymized way. The events are provided for a geographic rectangle covering Europe. The dataset contains events of the last 30 minutes and gets updated every 5 minutes. | German car manufacturer |
| Dangerous situations | Various types of safety-related events, ranging from dangerous traffic events to weather conditions | German car manufacturer |
| Accident statistics | German testing company | |
| Accident analyses | German testing company | |
| Danger spots | Road safety relevant data consisting of danger spots/black spots in the road network with x/y coordinates, for the whole of Germany, soon also for Austria and Switzerland, shapefile, live data, flexible data formats | Interest group |
| Traffic data from public intersections | Traffic detection for road users at intersections equipped with the LDTelescope LiDAR sensor system. Including trajectory, speed, classification. | Sensor developer |
| Webcam images | Geographical coverage: Baden-Württemberg temporal coverage: current processing statuses of the data, partly real-time data | Public sector |
| Road traffic counts | Geographical coverage: Baden-Württemberg temporal coverage: current processing statuses of the data, partly real-time data | Public authorities |
| Vehicle distance | Dynamic or near-real-time data. Coverage of all of Europe and parts of South and North America. | Sensor Developer |
| Braking events | Dynamic data. Coverage of all of Europe and parts of South and North America. | Sensor Developer |
| Risky driving behaviour | Dynamic data. Coverage of all of Europe and parts of South and North America. | Sensor Developer |
| Near-accidents | Dynamic data. Coverage of all of Europe and parts of South and North America. | Sensor Developer |
| Traffic light forecast | Management consultancy | |
| Traffic flow | Management consultancy | |
| Delays | Management consultancy | |
| Traffic data from public intersections | Classified trajectories of vehicles, pedestrians and cyclists at junctions, available in both perspective view and 2D top view. Spatial coverage: district, state and federal roads, municipalities of all sizes. Temporal coverage: since early 2022. Including cyclists and pedestrians. | Sensor producer |
| Visitor analytics | Visitor analytics enables enterprises in accessing and analyzing visitor information from any location in Germany. By leveraging historical data derived from anonymized mobile signaling data provided by Deutsche Telekom, companies can develop optimal strategies to enhance their business performance. | Telecommunications company |
| Accident | Each event is generated out of respective vehicle signals in a completely anonymized way. The events are provided for a geographic rectangle covering Europe. The dataset contains events of the last 30 minutes and gets updated every 5 minutes. | German car manufacturer |
| Ontology critical traffic situation SmartWalk | Knowledge base and rules for critical traffic situations at a zebra crossing for intelligent traffic infrastructure from the mFund project SmartWalk | Mobilithek |
| Traffic counting and multi-object tracking metadata in non-motorised individual traffic | The dataset contains counts of the classes person, bicycle, car from video data in predominantly non-motorised road traffic. The dataset contains video data, which is used to visualise the dataset, as well as the extracted object tracking and traffic counting metadata. | Mobilithek |
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