Public sector & traffic planning
Organisations that shape street space and road safety. This includes Cities and municipalities Traffic planners Authorities Infrastructure operators
Structured accident data for better decisions in traffic, planning and safety
Unfallbericht.at can derive insights from digital accident reports: accident locations, types, parties, circumstances and recurring patterns. This creates an additional data basis for analysis, prevention and planning.
Better decisions need better data
Many traffic decisions rely on incomplete or delayed information. Digital accident reports create structured data directly at the event location.
Prepared responsibly, this information can help identify risks, analyse hotspots and plan measures more precisely.
Possible audiences
The solution is for organisations that want to understand mobility, safety or claims patterns with data.
Insurers & fleets
Organisations that want to understand claims patterns and risks. This includes Insurers Fleets Mobility providers
Research & traffic clubs
Institutions that analyse accident data. This includes Research institutions Traffic clubs
Possible use cases
Aggregated analytics can support operational, planning and prevention decisions.
Examples of data products
- Aggregated accident statistics
- Hotspot analyses
- Map-based analytics
- Reports by region or period
- Analyses by accident type or circumstance
- Data exports for eligible organisations
- Individual analytics projects
- Dashboards for recurring analysis
From report to analysis
- Capture 01 Accident report
Capture structured data
Digital accident reports capture structured event data.
- Preparation 02 Data protection
Separate the data
Personal data is separated from analytics purposes or processed only with proper basis.
- 03 Analytics
Aggregate & evaluate
Data is aggregated and evaluated by region, period or topic.
- Use 04 Analytics
Reveal patterns
Dashboards, reports or exports reveal patterns.
- 05 Organisation
Derive measures
Organisations can derive planning or prevention measures.
Privacy & data quality
Traffic-related analytics require special care. Aggregated, anonymised or properly authorised evaluations must create factual value.
Aggregated and purpose-bound
Personal data is not the focus of analytics products.
Traceable processing
Data products must match authorisation, purpose and visible content.
Structured data basis
Digital capture improves comparability and analytics quality.