Towards a place-based geographic information system
We have a long-standing and pioneering research expertise to deliver the fundamental computational methods to capture, model, process, and interact on human place knowledge. People understand their environment in a very different way to computers: They think of places and their relations, while computers use coordinates and maps. People’s interaction with maps is cognitively costly and error-prone, which is becoming untenable in contexts requiring time-critical decision making. The new fundamental computational methods enable smart human-machine interaction that intuitively is based on place knowledge. The developed methods are evaluated in scenarios such as general search, crowd-sourced data capture, or interaction with autonomous vehicles.
Intelligent mobility on demand
Urban mobility and access is a concern for transport planners, ecologists, economists, as well as individuals. New ideas are required to increase mobility and access for ever-growing cities in a sustainable way, this means in a way that decreases traffic, fuel consumption, or emissions and increases public health. Sharing transport resources suggests itself for reaching this goal. We are investigating the viability of novel mobility on demand systems in various urban environments and scenarios.