Information Systems in the Built Environment (ISBE)

Research interests

To develop innovative and improve existing (components of) Design and Decision Support Systems for applications in architecture, building and urban planning. Today sensor data are used as input additional to building/city information models.

We are interested in:

  • Energy Neutral Cities
  • Urban Management
  • Building Information Management

These research areas pertain to users of the systems (planners and designers) as well as users of built environments that are the subject of planning and design decisions. Data is used based on combinations of questionnaires, web services that offer building and geographical data and real world sensors. The data sets are analyzed using state-of-the-art data mining techniques and statistics.

Success stories

The group contributes to the strategic area Energy, focusing on the formulation of urban energy simulation models. This includes establishing a link between energy and transportation.   

Our group is furthermore contributing to the theme -Smart Living Environments by developing personal information and recommendation systems that aim to enhance experiences of users in built environments through new ICT technologies. Data is used to generate district maps that show changes in the built environment over time, visualizations of buildings including abstract data about its performance and environmental conditions.  

We are developing models of cities, districts and buildings that allow parties to communicate about these subjects and that provide open standards to give access to these data.

Project examples

  • Triangulum Horizon 2020
    Demonstrate, disseminate and replicate solutions and frameworks for Europe’s future smart cities. In total, 22 partners from six countries.
  • DESENT ERA-NET COFUND Smart Cities and Communities
    Integrated decision support system for energy use of buildings and transport, ensuring maximum efficiency with respect to supply and distributed energy generation. Main partners: TU/e, Weiz, RSG, SINTEF, 4ER.
  • okstraOWL TU/e & TU Munich
    A Linked Data representation of the German information model for roads. This enables information sharing between parties in the design, engineering, construction and maintenance stage.