1. Establishment of a state-wide LSA cloud
The development of a state-owned LSA cloud (traffic light cloud) is complete. On the one hand, the cloud enables operational monitoring of the connected traffic light systems. On the other hand, the light signal systems in the cloud can be linked with each other as part of traffic management strategies, e.g. to give priority to public transport or to smoothen traffic flows. In the future, in addition to embedding the light signal systems in superordinate strategic control systems, traffic light control is to be expanded with the help of artificial intelligence on site and also V2X communication to optimize traffic management for all modes of transport (motorized private transport, public transport, on foot and by bicycle). In connection with the commissioning of the BW traffic management center (traffic control center), a linkage of it with MobiData BW and the Mobilithek is being planned in order to publish the data of the connected traffic signal systems, thus making it available to a wide range of users.
2. AI Innovation Park Baden-Württemberg in Heilbronn
The Artificial Intelligence Innovation Park (IPAI) in Heilbronn is intended to act as an ecosystem to connect national and international companies, start-ups, associations and social stakeholders, players from science and public institutions that want to develop and promote AI-based solutions. In addition to Porsche, other SDA partners and stakeholders have already moved into offices at the IPAI or are working together on projects.
The SDA mission ‘Innovation Park Artificial Intelligence Baden-Württemberg’ focuses on the exchange of ideas about AI in a new dialogue format. In 2023, discussions were held with small and medium-sized enterprises and associations on how AI can help us to make business models fit for the future. In 2024, the focus will be on the implementation of AI in local authorities in BW. A hackathon is planned to pool creative potential and try out various AI-based solutions for local authorities. The solutions will be presented at a closing event at the IPAI.
Parties Involved
3. AI in mobility - development of a digital twin on the Baden-Württemberg autonomous driving test field (TAF BW)
The Baden-Württemberg Ministry of Transport is setting a milestone in the development of autonomous vehicles. The TAF BW is being expanded to include a digital twin. This pioneering digitalisation project makes it possible to safely test and further develop innovative - in particular AI-based - technologies in the field of autonomous and connected driving (AVF).
The digital twin of TAF BW will map the real world in a digital environment, including a precise and comprehensive recording of all road users, the traffic rules applied and traffic control. The result is a highly developed and dynamic ecosystem that collects, analyses and interprets real-time data. This will enable reliable predictions to be made about events such as upcoming traffic jams, accidents or changing weather conditions, thereby optimising traffic management.
The digital twin will cover selected roads and junctions of TAF BW in Karlsruhe and Heilbronn. With the help of advanced sensor technology and measuring vehicles, extensive and anonymised data on the behaviour of road users will be collected. This data is used to train realistic behavioural models in order to enable an authentic simulation of the behaviour of drivers, cyclists and pedestrians. At the FZI Research Center for Information Technology, a bicycle simulator is also being set up with which the digital twin can be ‘experienced’ and further data can be collected for the behavioural model of cyclists. The digital twin thus offers automated and networked vehicles the opportunity to simulate critical traffic situations without causing any danger in the real world. This opens up new perspectives for the safe development and validation of autonomous driving functions.
The main objective of the project is to create a digital twin for TAF BW, which will serve as the basis for future developments and projects in the field of autonomous vehicles. The focus is on the homologation (approval) of autonomous vehicles, the creation of a test environment for traffic planning aspects and scaling options via the connection of further software and extensions to the digital twin. By publishing via open source and open data, access for small and medium-sized enterprises (SMEs) is made as barrier-free and easy as possible. The aim is to ensure that SMEs can test and further develop their business ideas and models easily and practically without great effort - initially in the virtual environment with subsequent validation in the real test field.
Parties Involved:
