KIRAMET – AI-based recycling of metal composite waste
Efficient, sensor-based particle sorting with the help of artificial intelligence.
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DAWN – Data-driven Analysis and Optimization of Low Voltage Networks
Data is crucial for ensuring the stability of future energy systems.
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MUST – Multimodal traffic control through the combination of innovative information channels
The aim of the MUST project is to directly and indirectly influence mobility behavior in terms of climate and environmentally friendly traffic management through traffic avoidance, modal shift and traffic improvement.
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MZSFreiland – Optimization of cycling infrastructure: Study on multi-purpose lanes with a narrow core lane on Austria’s open roads
Study on multi-purpose lanes with a narrow core lane on Austria’s open roads.
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Buddy-BeWell – Happy empathic robot assistant for lifestyle tips to stay healthy
We want to build a truly empathic robot that will help older people remain healthy.
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OptiChargE – Optimised and automated charging management for battery electric bus fleets
The OptiChargE project is developing a data-driven optimisation of a charging management solution for battery-electric bus fleets.
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CARIPU – Cooperative Acting Robots in Industry and Public
The CARIPU project uses AI, big data analysis, and the integration of the human perspective to improve mobile autonomous robots for successful interactions with users in industry and public spaces.
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SuCoLo – Fostering sustainable consumer behaviour with inclusive bicycle logistics infrastructure in urban outskirts
SuCoLo researches and develops solutions for sustainable, inclusive logistics in urban outskirts.
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DiToMo – Digitalization of tourist mobility services for the last mile
Climate-friendly travel to leisure and tourism destinations by public transport is not always easy: The destination is often not accessible by public transport or is very difficult to reach, and existing shuttle services are little known.
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cityclimAIt – Study on AI applications to achieve and support climate-neutral cities
Recommendation catalogue and tool for AI technologies that support planning, monitoring and forecasting services of city administrations, transport and spatial planning as well as companies on the way to a climate-neutral city.
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ESCADE – Energy-Efficient Large-Scale Artificial Intelligence for Sustainable Data Centers
Improving the energy balance of data centers, AI applications, and distributed systems through optimal placement of services and applications in the edge-cloud continuum.
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UVAR_Austria – Upgrading the Austrian ITS landscape to implement the EU requirements for Urban Vehicle Access Regulations
UVAR_Austria is developing solutions to provide digital and standardised access restrictions in line with the latest EU regulations.
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TeleCareHub – Platform for technology-supported care and support for people with dementia living at home
In the TeleCareHub, a platform is to be created through which various stakeholders, but above all family caregivers of dementia patients, can gain better access to support.
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Autarkity – Self-Sufficiency in Energy Communities: Expectations, Feasibility, and Obstacles
The project examines how innovative technologies can increase energy communities’ degree of self-sufficiency and whether users are actually willing to pay for it.
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Ludwig Boltzmann Institut “Digital Health and Prevention”
Digital technologies for sustainable lifestyle changes after cardiovascular disease to maintain long-term health after hospitalization.
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LugeSens – Sensor-Based Analysis of Steering Characteristics in Luge
From concept to field measurements: LugeSens provides data-driven insights into luge racing control and dynamics.
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EASY – Energy-efficient analysis and control processes in the dynamic edge-cloud continuum for industrial manufacturing
EASY is researching the application of federated learning to industrial manufacturing processes.
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STARS – Black start algorithms through resilient satellite communication
Restoring the power grid after a blackout using modern satellite communication based on satellites close to the earth.
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WETSAFE – Effective detection of hazards and adapted behavior of (autonomous) vehicles in heavy rain events
The WETSAFE project aims to improve safety on freeways during heavy rainfall events by preventing and adapting the driving behavior of manually controlled and (partially) automated vehicles.
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