OUR LIVING LAB IN ERFURT

AI-based services are being tested in the context of multimodal mobility offers with the aim of making mobility environmentally friendly and oriented towards the common good. This includes, among other things, the automated recognition of the choice of means of transport by means of machine learning, the personalisation of reward systems (incentivisation) on the end device of the user in compliance with data protection regulations by applying federated learning and the construction of an agent-based, digital twin of mobility behaviour by integrating anonymised mobile phone data.

In addition, the modern traffic technology in Erfurt will be further equipped with AI-supported sensor technology for the Bauhaus.MobilityLab. Among other things, this will make it possible to test city-wide air quality models and link them to environmentally oriented traffic management, test AI-based switching time prediction at traffic lights with regard to issues surrounding the topic of highly automated driving and evaluate intelligent camera systems for vehicle recognition including vehicle classification.

In this area, AI analyses are used to optimise energy management within city districts and to better coordinate local energy demand and generation. So-called tenant electricity concepts are also being tested: How can electricity generated in the neighbourhoods, for example by solar panels on residential buildings, be optimally coordinated with local energy management? For this purpose, the development of methods and algorithms for the automation and independent improvement of energy management up to a cognitive energy management is planned. With the help of AI, assisted service engineering and a decision support management system are to be implemented.

In the logistics sector, tests are being carried out in the Bauhaus.MobilityLab along the entire supply chain with a special focus on transport logistics issues. To this end, a digital twin of the city is being built by integrating traffic and logistics models, which will be used for the preliminary evaluation of various scenarios. This will enable, for example, the AI-based optimisation of parcel deliveries using electric vehicles in terms of time, costs and environmental impact, as well as subsequent real-life testing. In addition, the potential of innovative delivery vehicles (logistics trams, delivery robots) and highly automated driving for the logistics sector should also be able to be examined in the future in the Bauhaus.MobilityLab using the laboratory infrastructure that has been set up.