Mobility laboratory „zukunftswege.at“ assists research and innovation drivers in the development of their potential, and aims to initiate and help new projects.
moreAll projects (chronologically): Research Departments
Touristenströme
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.
moreEDIH Crowd in Motion
The European Digital Innovation Hub (EDIH) “Crowd in Motion” offers tailor-made consulting and innovation services for SMEs and the public sector for green and digital transformation in the tourism, sports and leisure industries.
moreCE-PASS (Circular Economy – Digital Product Passport)
CE-PASS is an Austrian industrial research project addressing the issue of sustainability-aware automotive design for the Circular Economy.
moreDIEGO – Digital Energy Path for Planning and Operation of Sustainable Grid, Products and Society
Energy management and balancing of industrial processes, residential prosumers and e-mobility charging through real-time data exchange and control.
morePowerTeams – Collaborative engineering of smart grid applications
Collaborative and partially automated engineering of Smart Grid applications along the entire life cycle.
moreRADBEST – Cycling guidance in confined road conditions
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.
moreDyMoN – Dynamic Mobility Nudge: Shaping sustainable urban mobility behaviour with real-time, user-generated and public open data
The “DyMoN” project aims to enrich digital nudging methods with relevant data sources to motivate citizens for more sustainable mobility in cities.
morei-Twin – Semantic Integration Patterns for Data-driven Digital Twins in the Manufacturing Industry
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.
moreCrossChargePoint – Integrated Multi-Energy Storages coupling the power network to the transportation sector
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.
moreSHared automation Operating models for Worldwide adoption
AlTrOPiC – AI-based Anomaly Diagnosis and Traffic Prediction for Service Orchestration and Placement in Clouds
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.
moreRelax: Learning Agent for individualised Stress Management
A learning agent for stress multi-level diagnostics, personalised stress profiles and interventions in the work context
moreKOMOA – Concept Study for a Mobility Observatory Austria
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.
moreBike2CAV – Avoidance of cyclist collisions thanks to vehicle-to-everything (V2X) communication
Development and validation of methods for the avoidance of cyclist collisions through vehicle-to-x communication.
moreDigital Motion in Sports, Fitness & Well-being
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
EMotion: Electric Mobility in L-Category Vehicles for all generations
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 – Platform-based AI System for Human Motion Analysis to optimize Ergonomics of Hybrid Work Systems in Industry
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.
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