Summary
Machine-generated summaryThis research project aims to develop a standardised method for regularly identifying and assessing road sections with frequent collisions between vehicles and wild animals. Building on the first nationwide analysis of wildlife accidents in Germany covering 2012 to 2017, which used geostatistical methods and geocoded accident locations to detect and visualise accident hotspots, the new procedure will be applicable across all federal states. It will draw on data from the Electronic Accident Type Map (EUSKa) and use a transparent, significance-based methodology to determine accident densities, hotspots and continuous road sections reliably. It will also create a basis for calculating the economic costs of wildlife accidents through a combined accident cost rate, supporting accident commissions in prioritising safety measures.
Description
Official source
Source: Datenservice Öffentlicher Einkauf (Bekanntmachungsservice)
Always verify details on the official notice.
Last verified against Datenservice Öffentlicher Einkauf (Bekanntmachungsservice) 5 days ago
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This buyer has no award history in this sector yet. Usual winners, Research & development - Germany
| Company | Wins | Total awarded | Last win |
|---|---|---|---|
| Bundesinsitut für Bau-, Stadt- und Raumforschung (BBSR) im Bundesamt für Bauwesen und Raumordnung (BBR) | 15 | €4.3M | Aug 2026 |
| Technische Universität Berlin | 5 | €1.2M | Aug 2026 |
| Prognos AG | 5 | €738,755 | May 2026 |
| Technopolis Deutschland GmbH | 5 | €604,098 | Aug 2026 |
| Öko-Institut Consult GmbH | 4 | €1.3M | Jul 2026 |
Based on 293 awards with a linked company profile over the last 2 years.
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Market context
- Avg. open tender · Research & development
- €3,292,902
- Buyer track record on Aperlena
- 25 notices tracked · 0 awarded
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