This page contains an overview of finished projects.
An overview of current projects can be found here.
Partners: National Police of the Netherlands, twnkls
ARPro investigates the effect of location-based information provision via augmented reality on the situational awareness and cognitive load of police agents. In addition, the project investigates the impact of such novel technology on the organisation and its processes.
TU Delft staff: dr. Stephan Lukosch
PhD student: Hendrik Engelbrecht
BRIDGE – Bridging resources and agencies in large-scale emergency management
The ultimate goal of BRIDGE is to increase the safety of citizens by developing technical and organisational solutions that significantly improve crisis and emergency management in the EU Member States. A BRIDGE platform will provide technical support for multi-agency collaboration in large-scale emergency relief efforts. The key to this is to ensure interoperability, harmonization and cooperation among stakeholders on the technical and organisational level.
Burger Alert Real Time (BART)
Burger Alert Real Time, BART
Partners: TU Delft, TNO, CGI, Dutch Police, City of the Hague
The aim of the project is to develop an innovative platform in which citizens, private organizations, the police and the municipality participate to deal with safety and security issues in the neighbourhood. Providing a means for citizens to influence the quality of their own living environment and security, together with the municipality and the police, to increase social cohesion, and reduce the level and amount of crime, is the focus. Trust, presence and relationships are prerequisites for citizen participation. TUDelft focuses on understanding the current state of the neighbourhood, and designing interventions with which to increase citizen participation over-time, when no emergencies occur, as well as just-in-time in emergency situations that require immediate follow-up.
TU Delft staff: prof. dr. Frances Brazier, dr. Tina Comes, dr. Stephan Lukosch
PhD student: Ir. Geertje Slingerland, MSc
Challenging and EXTending Erasmus+ Mobility coNnecting and blenDing sEctors and Disciplines (2018-2020)
The C-Extended project emphasizes the crucial role of Higher Education Institutions in boosting innovation, with an approach deeply rooted in the principle of partnership and with a novel focus on interdisciplinary and intersectoral education. The main activities include:
- Participation of students to learning activities in interdisciplinary modules during standard Erasmus+ mobility scheme at participating higher educational insitutes (host universities). The mobility will be enhanced with a set of interdisciplinary courses.
- Participation of students to training intersectoral activities (interships) using the C-Extended mobility funding for up to 2 months to involve the students in an interdisciplinary and intersectoral placement in an organization (business, social enterprise) embedded in the local ecosystem of host universities.
At present the following Interdisciplinary Paths have been designed and activated at the participating universities:
- Bioinformatics (University of Trento, Italy)
- ICT Innovation (University of Trento, Italy)
- Energy Technology (KTH Royal Institute of Technology, Sweden)
- Smart Grid and Power Networks (Imperial College London, UK)
- Complex Systems Engineering (TU Delft, NL)
- Innovation & Entrepreneurship (TU Eindhoven, NL)
- Innovation Space & Automotive Systems Engineering (University of Rennes 1, France)
Are you interested in this project? Or are you a TPM student and want to study and/or do internship aboard in those universities/countries in 2019 or 2020? Contact Dr Y Huang for more information.
Design and management of networked Autonomous Systems
The world is distributed over time and place, as are most of today’s systems. Systems are becoming more autonomous, configurations more complex, the environments in which they operate more open, distributed and dynamic. The sheer complexity of most systems in today’s current practice mandate new solutions. Self-management is the solution for complex distributed and networked autonomous systems. The 4 main research questions this project addresses are:
- Which communication structures are most effective within and between levels within distributed networked autonomous systems?
- Which control structures are most effective within and between levels within distributed networked autonomous systems?
- Which aggregation structures are most effective to monitor and manage distributed networked systems?
- Which commitments are needed within and between levels within distributed networked autonomous systems to be able to manage such systems? Which interaction?
This project’s goal is to further fundamental understanding of enabling technologies for the design and management of such complex autonomic systems based on applied research on applicable architectures, policies, and mechanisms, implemented as middleware support for development and execution of run-time systems.
Stable and scalable decentralized power balancing systems using adaptive clustering
The NWO URSES project Stascade: Stable and scalable decentralized power balancing systems using adaptive clustering
Energy systems are in transition. Whereas in the past, energy supply was determined by demand, in future, demand will need to follow supply. Changing prices is a means to this end, via markets in which bids for demand and/or supply determine the market price for a specific period of time.
Such markets, however, have their drawbacks. An important drawback is that markets can typically be highly dynamic, even with disruptive or chaotic behaviour. In addition, current centralised markets are not designed to deal with local network failures. These factors influence the stability and predictability of the energy system. Therefore, there is a need for decentralized, stabilizing, and scalable approaches to balance supply and demand (S/D) of energy.
This proposal focuses on the design of distributed coordination and market mechanisms to this purpose. Distributed dynamic clusters of synergetic consumers and producers are our basic construct. Clusters are designed to coordinate local load balancing for varying periods of time amongst consumers and producers, typically for substantially longer periods than considered in markets. Local load balancing in clusters thus allows for novel, more reliable solutions for global load balancing and can be used in conjunction with (current or novel) external market mechanisms. In addition, clusters are dynamic and can adapt to changing situations, including network failures. This project designs novel models, techniques and approaches for dynamic clustering and market mechanisms for energy S/D balancing, in a cooperation between engineering systems, computer science, and electrical engineering researchers, and network operator, ICT, and business consultants.
Phd student: Nina Voulis, MSc
Supervisors: Dr. Martijn Warnier, prof. dr. Frances Brazier