Verkehrsunfallforschung an der TU Dresden GmbH (VUFO) uses data-based findings to ensure greater road safety!
We convert data from real-world scenarios into simulation formats using specialized methods.
We offer you comprehensive education and professional training in our areas of expertise.
We collect accident data in the greater Dresden area. Private individuals can obtain information here.
Our team records and analyzes around 1,000 traffic accidents with personal injury in the greater Dresden area every year as part of the GIDAS accident research project. Accident recording is constantly supplemented by modern survey methods in order to collect valid data to further increase road safety.
Reconstructing traffic crashes is a complex process that brings together all available information and relevant facts from the accident scene investigation. Our focus is on clarifying the circumstances of accidents and how they unfolded.
Our data analysts conduct studies and research based on national and international data sets—with a particular focus on vehicle and traffic safety. Their findings are incorporated into laws, guidelines, advancements in vehicle safety, and preventive measures such as driver-assistance systems and autonomous driving.
Our scenarios are suitable for evaluating and safeguarding driver assistance systems and automated driving functions. They are based on real accident situations from our databases. We transfer the scenarios into simulation formats using special processes.
With the help of accident simulations, our experts carry out detailed studies on the pre-collision accident phase. This enables us to provide you with valuable data to prevent vehicle collisions.
We regularly offer training and further education in the areas of data acquisition, reconstruction, data analysis and simulation of traffic accidents.
We are pleased to cooperate with the GTÜ Academy and CTS in the field of further training for experts.
The VUFO is committed to providing high-quality accident data, carrying out interdisciplinary research projects, developing innovative methods for data analysis and accident prevention and contributing to the design of mobility regulations. It advises industry partners and institutions on road safety issues and imparts its expertise through training courses.
We work with strong partners in the automotive industry, both in the manufacture of vehicles, vehicle components and safety systems, as well as in connection with automotive operation and vehicle safety services.
Find out how you can become part of our team. Work with us on Vision Zero: No more fatalities and serious injuries on our roads!
The well-being of our employees is our top priority. We attach great importance to creating conditions that make it possible to reconcile work and family life. Equal rights and mutual respect are firmly anchored in our corporate culture.
The BSZF supports our own research on the Multiple Accident Recalculation App (MARA).
MARA is used to recalculate and analyze accidents with virtual safety systems.
We are developing a software tool that automatically converts heterogeneous EUSKa data into a uniform, analyzable data model. Through an ETL pipeline, interactive visualization, and analysis filters, it enables detailed accident analyses and bridges the gap between official statistics and in-depth data.
We offer our employees opportunities for professional development. These measures are financed with tax revenue on the basis of the budget approved by the Saxon state parliament.
EFRE-funded project for the automated recording of blue light missions by emergency vehicles.
An ESF-Plus-funded project to introduce a structured innovation management system for the systematic assessment and management of innovation potential at VUFO.
You are currently viewing a placeholder content from Vimeo. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More InformationYou are currently viewing a placeholder content from YouTube. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More InformationYou need to load content from reCAPTCHA to submit the form. Please note that doing so will share data with third-party providers.
More Information
