Mobility laboratory „zukunftswege.at“ assists research and innovation drivers in the development of their potential, and aims to initiate and help new projects.

Together with AIT – Austrian Institute of Technology – Salzburg Research is supporting Tourism Salzburg GmbH and Altstadt Salzburg in this multi-annual project as competence partner for the evaluation, planning and realisation of a system for smart visitor management.

Energy management and balancing of industrial processes, residential prosumers and e-mobility charging through real-time data exchange and control.

GAMES will focus on how digitalisation could enable electric shared vehicle fleets to answer mobility needs while also creating new revenue streams by providing flexibility services for the electricity grid and energy communities.

Collaborative and partially automated engineering of Smart Grid applications along the entire life cycle.

A transnational consortium led by Salzburg Research Forschungsgesellschaft is investigating in objective safety and the subjective perception of safety and is developing evidence-based recommendations for the future planning of cycling infrastructure at bottlenecks.

The “DyMoN” project aims to enrich digital nudging methods with relevant data sources to motivate citizens for more sustainable mobility in cities.

i-Twin investigates interoperability concepts for data-driven digital twins in the manufacturing industry. The project propagates an open source middleware for the integration of operational management systems and connected assets based on semantic integration pat-terns. It aims at reducing the integration effort and allowing exchange of master data and operational data in manufacturing networks. The results are validated in a research laboratory set-up and in an industrial asset management scenario.

Planning, integration and operation of charging and refuelling infrastructures to supply e-mobility and the integration of charging and refuelling needs into energy management and regional value creation.

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The AITrOPiC project focus on the research and development of AI-based methods to enable automated provisioning of services and processing resources in cloud-based computing infrastructures.

A learning agent for stress multi-level diagnostics, personalised stress profiles and interventions in the work context

Smart textiles can protect firefighters from overheating. Or assist in the product development of sporting goods. Our current research helps to maintain well-being and physical and cognitive performance through the use of textile sensors.

Mobility data is playing an increasingly important role in the development of strategies and the planning of measures. In KOMOA, a concept study is being developed for the inclusion of different data bases for the comprehensive and timely provision of situation reports on mobility in Austria.

Development and validation of methods for the avoidance of cyclist collisions through vehicle-to-x communication.

DiMo focuses on human motion data analysis concentrating on assessing the quality of motion. The aim of the project is to measure and interpret motion and emotion through multi-sensor fusion – considering biomechanical, contextual and psychophysiological parameters. more

The required reduction of CO2 emissions requires alternative mobility concepts – especially in rural and suburban areas. Within the project EMotion, Salzburg Research, together with well-known project partners, is developing new possibilities in the field of light electric mobility. In particular, commuters could use this technology to get to work in an environmentally friendly and cost-effective way. more

HWS deals with the increasing levels of automation and the use of collaborative robots, making the shop floor a complex socio-technological system whose processes still need to be safe and secure for humans working in these environments. We take a human-centered view on the planning, analyzing and monitoring of industrial work processes.

Consumption of energy within the framework of local energy communities (LECs for short). However, a positive effect on the operation of the energy networks is the top priority.

The EFPF project realises a federated smart factory ecosystem by initially interlinking four smart factory platforms, from the FoF-11-2016 cluster, through an open and interoperable Data Spine. The federation of the 4 base platforms is complemented by industrial platforms, collaboration tools and smart factory systems, specifically selected to support connected factories in lot-size-one manufacturing. more