DigiT4TAF-BW
AI in the Mobility Sector
Individual mobility is a critical factor for the economic success of a society. It is particularly important for fostering the compatibility of career and family.
Currently, private cars are seen as the only mode of transportation suitable for both complex and flexible daily routines. This is partly an acceptance and perception problem over alternative modes of transportation as well as multimodal mobility. These are often viewed as unreliable alternatives. Today, mobility and route planning only takes place in the context of the primary mode of transportation. Alternative modes of transportation are only considered for the last mile.
The MobAPlan project aims to show the technical feasibility of the integrated planning of daily activities together with the resulting mobility demand. A planning assistant (MobAPlan) will be designed and implemented as a prototype to support users in planning their daily activities, while considering their individual mobility preferences and health goals.
Smart solutions for the transportation of people and goods are a focus of FZI research to shape mobility in the future. To this end, the FZI develops integrated mobility systems – from vehicle automation and the application of AI in traffic systems to urban mobility and logistics.
AI in the Mobility Sector
Supercomputing Platform for Highly Automated Vehicles
Cybersecurity for SMEs
Data management repository for care-supporting AI applications
Innovation with Cybersecurity for SMEs in Baden-Württemberg
Hardening of embedded RISC-V software by means of code transformations
Automatic Integration of Avionik Racks via Artificial Intelligence
Buildings as efficient and interoperable components of the future energy system
Hybrid building twins for increased energy efficiency
Flexible refrigeration systems against the background of increased decarbonization