The project 'D-TRAS' brings together leading organizations in the field of digital mobility from Austria and Germany in a strategic partnership. The project’s goal is to predict individual road safety risks, focussing on rural areas. Vehicles should be able to share safety-related data to improve the safety of other road users traveling on the same road. For this purpose, a combination of heterogeneous sensor data from different groups of road users (cars, motorcycles) with safety-relevant data from mobility data marketplaces and open data is investigated.
The D-TRAS concept involves computing safety-related information from sensor data ("on the edge") and transferring it to a digital platform in the cloud, where AI models are trained and implemented to predict a spatiotemporal traffic risk. The D-TRAS concept is validated in two European regions with different topology, data availability and behavior, namely Styria (Austria) and Central Germany. Three different demonstrators for traffic risk information and warning will be evaluated in field studies together with at least one hundred road users.
- Virtual Vehicle Research GmbH (Austria)
- motobit GmbH (Austria)
- Universität Göttingen (Germany)
- Caruso GmbH (Germany)
- Next Data Service AG (Germany)
Virtual Vehicle Research GmbH
Contact for German consortium:
Project duration: Feb. 2021 – Jan. 2024
Total costs: 0.8 million euros
Total funding: 0.6 million euros
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