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Sustainable Data Centers: How AI Can Be Up to 90 Percent More Energy Efficient
[…] required for a task area; non-essential parameters are not processed at all. This reduction to the essentials can make data models up to 90 percent leaner. Neural Architecture Search: “Neural architecture search is used to optimize visual AI models in particular. Neural networks mimic the human brain, but are currently the result of laborious manual work. Instead of manually designing the composition of neural networks, the AI should automatically find the best architecture. Placement in the edge- cloud continuum: It is currently common practice to collect data at the outer edges of the system (edge) and process it in centralized, high-capacity data centers (cloud). However, this is not necessarily the most energy efficient approach. Salzburg Research is developing a solution to analyze, evaluate and recommend an optimized placement of services and applications in the edge-cloud continuum. From Lab to Field: Hands-On Scrap Sorting Trial The project team is working with Stahl Holding Saar to […]
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Handbook: Digital Nudging for Sustainable Mobility
[…] behaviour and that data can help to make these tools more effective by taking current situations and context into account. As a service for implementation, it offers practical instructions and templates for your own behavioural interventions for sustainable mobility. Valuable lessons learnt from the scientific field test and data protection factors are also included. Who is this handbook for? This handbook is primarily intended to serve local decision-makers (e.g., city officials, urban planners) and providers of transport infrastructure and services, who have a stake in increasing sustainable mobility within their community. This handbook is not meant to be an exhaustive framework, but rather a resource to support shaping sustainable urban mobility and to ensure that already existing or planned mobility infrastructure will be used by the public. In turn, this handbook can also be used by app developers who are involved in building mobility interfaces and looking to expand their features to include digital […]
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Projekt:
CrossChargePoint – Integrated Multi-Energy Storages coupling the power network to the transportation sector
[…] and the integration of charging and refuelling needs into energy management and regional value creation. The coupling of the electricity sector with the transport sector is essential for more efficient energy use and thus for the decarbonisation of society. The CrossChargePoint project deals with the 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. A system architecture and the infrastructure for data and information exchange for a regional energy management system are being developed and the interdependencies that occur between the ICT system, the electrical grid and the transport sector are being investigated. In rural areas with low population density and limited grid capacities, the development of electricity-dependent infrastructures for alternative fuels is a challenge. The expansion of gas/hydrogen refuelling and charging infrastructures including the necessary grid and energy conversion infrastructures requires high efforts. The economic […]
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Award: 2nd Place Worldwide in the Area of AI/ML in 5G
[…] operators can quickly reconfigure their network or test different network configurations.” Numerous organizations around the world are researching how AI/ML can best be used in future networks, including 5G networks. In an international challenge, 911 teams from 62 countries competed with their know-how in 23 individual challenges. The best teams were invited to the final at the end of December 2020. Salzburg Research achieved the excellent second place there across all 23 challenges. Das erfolgreiche Team bei der ITU AI/ML in 5G Challenge: v.l.n.r.: Peter Dorfinger, Matthias Herlich, Christian Maier, Martin Happ, Jia Lei Du (alle Salzburg Research) Gold went to China Mobile. Among the other participants were the TU Berlin, Imperial College London, Eurecom, the Chinese Academy of Sciences, Inria, Fraunhofer HHI, NEC, IMDEA and many more. Efficient AI Solution The research team achieved the second place primarily due to the efficiency of the developed AI/ML solution: “While the solutions of other teams […]
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EU project supports manufacturing SMEs
[…] amounts for their visibility. The European research project NIMBLE wants to help these innovative industrial companies: A digital trading and communication platform should help to modernize their processes. To this end, NIMBLE develops an open-source-based B2B platform infrastructure that can be specialized by operators for regional or sector-specific B2B solutions. Using these platforms, SMEs can define supply chains and even network production logistics in order to leverage company-wide optimization potential. NIMBLE is being developed as a native cloud application. The technologies used (e.g. Spring Cloud, Docker, Kubernetes) and the software architecture are adapted for operation in the cloud. The microservices architecture pattern serves as a blueprint for the NIMBLE-specific architecture. Microservices have the advantage that they are developed and operated independently of each other and thus have little influence on each other. Collaboration along the supply chain, already during the design process and for product variations: Both integrated industry partners and numerous early adopters […]
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IDIRA – Interoperability of data and procedures in large-scale multinational disaster response actions
[…] we shall develop a system of technologies and guidelines which help in optimal resource planning and operations across national and organisational borders. The set of tools, interfaces and procedures developed in IDIRA will be designed to be configured, deployed and operated in a flexible manner, providing interoperable services for data integration, information exchange, resource planning and decision support to local and international disaster response units and decision makers. This core result of IDIRA will take the form an architectural framework and an exemplary implementation of a Mobile Integrated Command and Control Structure supporting coordinated large-scale disaster management. It is foreseen to make the best possible use of existing ideas, technology and standards, integrating available solutions and complementing them with new components where necessary. In actual operation, the components based on IDIRA solutions will be building on and be integrated with local command & control infrastructure and response procedures. More information: IDIRA project Mobile Broadband Extender
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GRISINO – Grid, Semantics and Intelligent Objects
The GRISINO research project combines Grid computing, semantic web services and intelligent objects. The GRISINO research project combines “Grid computing”, “semantic web services” and “intelligent objects” in order to create an example of the future, enhanced infrastructure of the World Wide Web. In the future, more and more human activities will become at least partly, “virtualised” which means they will take place with support of the World Wide Web. The GRISINO research project combines “Grid computing”, “semantic web services” and “intelligent objects” in order to create an example of the future, enhanced infrastructure of the World Wide Web. The major result of the project will be an experimental software prototype which will demonstrate how this infrastructure should be designed and how it will improve collaboration amongst people and machines over the World Wide Web. The aim of GRISINO is to combine three leading edge technologies Semantic Web Services as the future standard for the […]
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SAM-AT – Strategy and implementation preparation for traffic information through integrated traffic management in the mobility system
[…] suitable alternatives offered even in case of disturbances. Restricted opportunities for new constructions to increase capacity lead to a significantly grown need for integrated traffic information and integrated traffic management for efficient use of the available capacities. In order to leverage this potential and achieve the goals of the mobility master plan, we need to define comprehensive traffic information and traffic management measures as well as strategic, operational and legal prerequisites. The operators of the national transport infrastructure, ÖBB Infra and ASFINAG, as well as the mobility associations Austria MVO and the operators of national traffic editorial offices, ORF and ÖAMTC, are committed to the goals already formulated within the framework of ITS Austria. Their aim is to substantially improve traffic information and traffic management through integration and cooperation in Austria. At this point, regional traffic management centers or traffic management centers for specific networks are responsible for traffic management. But a comprehensive, operationally […]
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WETSAFE – Effective detection of hazards and adapted behavior of (autonomous) vehicles in heavy rain events
[…] predicts the resulting water film (risk of aquaplaning) in heavy rain at the level of individual lanes. The system is designed in such a way that it can be connected to existing traffic control technologies such as digital traffic control systems or C-ITS in order to inform road users or automated vehicles in good time so that driving behaviour can be adapted accordingly. The project will also derive specific recommendations for action. In the event of a heavy rainfall event, the simulation model is used as a basis to provide situational information in real time. As part of the project, the system is to be applied, demonstrated and evaluated as an example on a section of motorway with a known high risk. The realistic simulation of heavy rainfall events based on the digital twin will also make it possible to recognise potential bottlenecks in roadway drainage at an early stage and derive preventative infrastructure measures.
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Evaluating traffic trajectories from stationary multiple object tracking systems
Stationary multiple object tracking (MOT) systems beside the road infrastructure are increasingly used to acquire detailed trajectory data of traffic participants. While comprehensive methods for validating MOT algorithms have been previously proposed, there is a need for evaluation methods focusing on tracking results and their purpose of use for different applications. Especially if such systems are installed in new locations, the quality of the resulting tracking data is in question. In previous works, methods to evaluate the quality of object positions have been proposed. However, methods addressing quality criteria such as accuracy of detection, classification, and tracking have not been considered previously. To address this gap, this work identifies various trajectory quality criteria and discusses methods to evaluate them. Novel approaches to evaluate tracking stability and detection accuracy, treating the generating system as a black box, are proposed. Their applicability is demonstrated on an openly available real-world dataset.
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Know-How and Innovative Solutions for Climate-Friendly Mobility in Salzburg
[…] hand, the city serves as a “real laboratory environment” and experimental setting for researchers to pilot and test future-oriented approaches. On the other hand, the city has competent partners at its side with innovative methods and objective data material for sustainable decisions. Research Studio iSpace presented specific local applications that shed light on the planning and location prospects of mobility projects. Topics such as the optimal mobility connection of locations through route analyses, interactions with the construction infrastructure, and commuter flows play a central role here. For example, commuter corridors are analyzed as well as bus lanes are optimized with the help of the Travel Time Index in collaboration with Salzburg Research. The aim is to further develop the public space and use data as a factual basis for emotional debates in order to make public transport more continuous and efficient. The Department of Geoinformatics/Z_GIS of the University of Salzburg contributed its expertise in […]
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Self-Localization Accuracy of Instrumented Probe Bicycles.
Cycling as a healthy, sustainable mean of transport has been getting increasing political attention throughout the last decade. The goal of increasing the share of cycling among different transportation modes requires extensive data on various aspects of cycling. Instrumented Probe Bicycles (IPBs) are equipped with a variety of sensors and are capable to collect the data needed. Use cases for IPBs are for example, to collect data on cycling infrastructure or to take part in car-like assistance and warning systems. One sensor shared by all IPBs is the GNSS receiver. As different use cases often demand different GNSS accuracies, the authors distinguish three accuracy levels ranging from road accuracy (with a positional accuracy < 5m), to cycle lane accuracy (< 0.5m) to pothole accuracy (< 0.1m). The goal is to evaluate different methods to measure the accuracy of a GNSS receiver and further to assess and compare the positional accuracy level of different GNSS receivers.
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PowerTeams – Collaborative engineering of smart grid applications
[…] of a concept of a model-based, service-oriented, and collaborative platform for the engineering and validation of smart grid applications. The overall goal is to develop a scalable architecture of an interoperable and distributed ecosystem that offers modular engineering services to collaborating teams. Expected Results The main expected result is the architecture and a prototypical implementation of the PowerTeams platform, which enables the interoperable integration of a broad spectrum of services related to the engineering and validation of modern energy applications – including services to make use of laboratory infrastructure and data platforms. The PowerTeams platform thereby supports the management of engineering data, which is necessary for a consistent, transparent and interoperable digitization of the energy system. The PowerTeams platform is validated internally and tested with selected external experts of the energy community. This project is funded by the Climate and Energy Fund and is being carried out as part of the Energy Research Programme 2020.
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Operating data acquisition in winter road maintenance
[…] monitoring of the implementation. With the independent technical and content-related expertise of Salzburg Research, the province of Styria was able to make a well-founded decision in the award procedure. – Franz Zenz, Head of Road Maintenance Service, Province of Styria Thus, in accordance with the best bidder principle, a contractor was awarded the contract who – as we are now convinced – will implement the project in a high quality and professional manner. It is very pleasing that the Regional Administrative Court also confirmed the substantive argumentation in a review procedure and judged the award procedure to be correct. Franz Zenz, Head of Road Maintenance Service, Province of Styria Salzburg Research will also support the province of Styria in the future digitalisation of work processes, for example in route and summer services. More information: Success Story: Betriebsdatenerfassung im Winterdienst: Inhaltliche-technische Beratung für Beschaffung und Umsetzung Contribution photo: (c) Land Salzburg/Melanie Hutter Franz Zenz (c) T.Rothwangl
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Towards a standardized workflow for creating high-definition maps for highly automated shuttles
[…] predominately follow a static driving path, but for reaching higher automation levels, a more comprehensive digital representation of the driving environment, a so-called high-definition (HD) map is needed. However, when it comes to the definition of the scope as well as the composition workflow, a common method is missing. The current work proposes and evaluates a 4-steps workflow including sub-workflows for creating a HD map for AVs in constrained ODDs. The workflow includes sub-workflows for (1) definition of the scope based on use cases, (2) mapping and semi-automatic extraction of objects from a LIDAR point cloud, (3) HD map composition with OpenDRIVE® and Lanelet2 as target formats and (4) testing and iterative refinement with respect to the intended use cases. The workflows are evaluated by applying them on a 2-km-long test track. The resulting HD map is evaluated with two different case studies. Results may serve as guidelines for creating HD maps for AV trials.
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Software Engineer (w/d/m) für Mobilitätsdatendienste gesucht
Eine spannende Nische zwischen Wissenschaft und Wirtschaft mit neuen technologischen Herausforderungen wartet ab sofort oder zu einem späteren Zeitpunkt auf Verstärkung in Teil- oder Vollzeit als Software Engineer für Mobilitätsdaten Willst du auch zur Mobilitätswende beitragen und dein Know-how in aktuellen sowie zukünftigen Forschungsprojekten einbringen? Dann bewirb dich bei uns für eine Teil- oder Vollzeitposition als Ausschreibung als PDF Beteilige Dich an zukünftigen Mobilitätslösungen! Unsere tägliche Mobilität steht vor großen Veränderungen. Die Mobilitätswende soll nachhaltige, leistbare, zuverlässige, flexible sowie inklusive Mobilität gewährleisten. Die Digitalisierung ist ein zentraler Baustein der Mobilitätswende. Daten helfen dabei das Mobilitätsverhalten zu verstehen, die Leistungsfähigkeit und Sicherheit von Verkehrssystemen zu optimieren oder neue Mobilitätsdienste auf deren Praxistauglichkeit zu erproben. Die angewandte Forschung von Salzburg Research, einem der führenden österreichischen Forschungsinstitute in der Digitalisierung der Mobilität, entwickelt und erprobt Lösungen für die komplexen Herausforderungen der Mobilitätswende. Das spezialisierte Know-how der Forschungsgruppe Mobility and Transport Analytics (MTA) liegt in der Verarbeitung, Analyse […]
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Analyzing Travel Time Reliability from Sparse Probe Vehicle Data.
Travel time reliability (TTR) indices have gained considerable attention for evaluating the quality of traffic infrastructure. Whereas TTR measures have been widely explored using data from stationary sensors with high penetration rates, there is a lack of research on calculating TTR from mobile sensors such as probe vehicle data (PVD) which is characterized by low penetration rates. PVD is a relevant data source for analyzing non-highway routes, as they are often not sufficiently covered by stationary sensors. The paper presents a methodology for analyzing TTR on (sub-)urban and rural routes with sparse PVD as the only data source that could be used by road authorities or traffic planners. Especially in the case of sparse data, spatial and temporal aggregations could have great impact, which are investigated on two levels: first, the width of time of day (TOD) intervals and second, the length of road segments. The spatial and temporal aggregation effects on travel time […]
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Sustainable mobility through connectivity and automation
[…] day trippers and tourists. Building on the experiences from the Digibus® Austria project, the pilot in Salzburg aims to test an automated, electrified passenger transport system to connect rural regions to intermodal mobility hubs in order to better bridge the first and last mile in public transport. C-ITS technologies are to be tested on an existing bus corridor that connects the outskirts of the city with the city centre. These enable communication between vehicles or vehicles and infrastructure (e.g. prioritisation of buses at traffic lights). Projects such as SHOW, which test the real-world use of shared, networked and electrified automation in transport, are crucial for gaining insights into how the full potential of automated vehicle technology can be used with the aim of driving the transformation towards sustainable urban mobility. Survey: Help shape the mobility of the future! By answering this survey, you will help to develop solutions for the automated mobility of the […]
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More Safety for Cyclists through Intelligent Traffic Systems
[…] time, more and more people are switching to bicycles. Efforts to date have primarily focused on the detection of pedestrians. In the new research initiative Bike2CAV, the focus is on cyclists: companies and research institutions jointly research and test possibilities for the cooperative detection of collision risks for cyclists as well as non-distracting warning concepts. Connected Vehicles as an Opportunity Networked and (partially) automated vehicles are increasingly able to communicate with other vehicles and with the traffic infrastructure, such as intelligent traffic lights. Bicycles should be actively involved in the interaction with motorized vehicles. Active communication with bicycles or improved recognition performance increases the reliability of the perception of the surroundings by networked vehicles. But even bicycles without their own perception of their surroundings are included with the help of technologies in order to be better recognized especially by automated vehicles. Warning of the Risk of Collision for Cyclists Another focus is dedicated to […]
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Salzburg’s Multimedia Know-How Puts Cultural Heritage in the Limelight
[…] the Veste Oberhaus in Passau or the Kufstein Fortress, which bear witness to a shared history, are filled with virtual life in an innovative way for visitors. In this way new audiences can be reached. Digitally Presenting Cultural Assets in a New Way A virtual installation has already been implemented in the Passau Oberhausmuseum and is related to the new interior design of the tower. “By working with scientific partners from the cultural sciences and IT, digital infrastructure is created for the presentation of innovative cultural assets. This is particularly important in times of the Corona, where freedom of travel can be restricted”, says Salzburg Research Project Manager Markus Lassnig. 15 Million Euros in EU Funding for 70 Projects The threads of such Interreg programs come together at the regional development and EU regional policy department in the state’s economic department, impulses for cooperation projects are given and Salzburg project partners are advised. “Salzburg […]