Bauhaus.MobilityLab

The aim of the project is to create an ecosystem for the intelligent linking of information as a basis for designing new mobility, logistics and energy services. Our consortium is made up of an interdisciplinary group of research institutes, industrial partners, small and medium-sized enterprises, universities and the state capital Erfurt.

We, the Fraunhofer ITWM, are represented in various work packages. In addition to setting up the laboratory platform and developing laboratory innovations (here in direct cooperation with the Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (RPTU)), we at the institute are in particular in charge of the work package »AI Methods«, which deals with the development of the machine learning core of the platform.

Bringing Innovation to Life

The Bauhaus.MobilityLab Erfurt creates a real laboratory in the heart of Germany, where sustainable and intelligent mobility, logistics as well as energy supply are developed, tested and also experienced.

Through interdisciplinary networking and the use of the latest artificial intelligence approaches to design sustainable mobility, logistics and energy applications, the Bauhaus.MobilityLab makes a significant contribution to the technical, economic and sustainable development of Germany as an AI location.

As an open and evolutionary incubator for innovative service and infrastructure projects, the Bauhaus.MobilityLab profiles itself as a beacon of the mobility and energy transition. The philosophy of the concept focuses on the following aspects:

Networking of infrastructures as a basis for rethinking mobility.
In the spirit of the Bauhaus tradition, a Living Lab for new mobility, new logistics and new energy concepts is being designed in Erfurt's most modern urban quarter at Brühl and made available to all providers for product trials.
The Bauhaus.MobilityLab is an interdisciplinary and experimental ideas workshop in the spirit of the Weimar Bauhaus tradition and aims to rethink the creation and testing of mobility, logistics and energy services through its openness to new approaches and solutions.

Our Task at Fraunhofer ITWM

As Fraunhofer ITWM, we coordinate the development of an AI method catalog that is part of the platform. Thus functions for the investigation of data and prediction of time series are made available to laboratory customers. A current use case is the prediction of NO2 levels. Here we can draw on our expertise in dealing with highly seasonal time series.

In addition we support the technical setup of the platform by integrating the developed methods into the platform and thus making them available for service engineering.

More information

Kaiserslautern, Fraunhofer ITWM / Workshop

»Federated Learning« Workshop

The rapidly increasing availability of data nowadays makes it possible to train ever better Machine Learning models. As a company, we offer you a workshop on the topic of »Federated Learning« – a data protection-oriented method of decentralised Machine Learning. Find out more about the content of the course and whether federated learning is also a suitable solution for you:

Combination of Mathematical Optimization and Artificial Intelligence (AI)

Since the Bauhaus.MobilityLab aims to examine problems in urban space on a cross-sectoral basis, there is new potential for optimization in many areas. This is exploited by combining mathematical optimization and artificial intelligence. In cooperation with the WG Optimization of the RPTU Kaiserslautern we model problems mathematically and develop new solutions that exploit both optimization and artificial intelligence methods. A first example is the combined route planning for delivery trucks and cargo bikes in the last mile of parcel delivery. This concept reduces traffic congestion and increases environmental friendliness, contributing to the development of a livable city center.