About the project
Future urban districts should be both sustainable and liveable. In order to achieve this goal, inner-city traffic needs to be redesigned, among other things. This is where the MonaQu - Mobility for Sustainable Neighborhoods research project comes in. The application of methods from the field of information technology - e.g. networking, data analysis based on artificial intelligence and intelligent control - should form the basis of a needs-based and attractive mobility system. This will create alternatives to motorized private transport and promote resource-saving multimodal mobility.
The aims of MonaQu are, on the one hand, to set up a mobility management system that processes real-time data, and on the other hand to analyze the data using artificial intelligence methods and to optimize traffic control using these methods. In the course of this, a digital model - a digital twin - of the traffic situation is first created, which integrates real-time data from various sources and enables the system to be simulated. The development of interfaces to the energy sector and to mobility users via an app is also planned.
In addition, prototype applications for mobile robotics are being developed as part of MonaQu. For example, an autonomous robot will be used to transport goods in the neighborhood or determine the occupancy of parking spaces. A high-precision digital map of the neighborhood will also be created as part of the project.