"Mobility as a Service" means full automation – in this advanced stage, humans are no longer actively involved in many driving maneuvers. One example is the driverless parking service (SAE Level 4), which can be offered at locations such as airports. This driverless parking service will be verified in the test field's parking garage lab and later certified. Initially, the precursor to automatic valet parking will be tested: parking via smartphone. Here, the driver remains near the vehicle and monitors the parking process using an app on their smartphone. Since no cables can be connected in the unmanned parking garage, the vehicles are automatically charged inductively.

To connect road users with each other and the infrastructure (e.g. traffic lights, sensors), a V2X communication infrastructure will be integrated. IABG's subsidiary VITES has installed a private 5G mobile network ("campus network") as a test platform for communication-specific applications. This network will demonstrate the suitability of 5G technology for networking autonomous vehicles and develop end-to-end applications, providing insights for future real-world operations. Another advantage of the campus network is the ability to conduct cyberattacks (jamming, spoofing) and develop corresponding hardening and countermeasures.

At the heart of the test field is an intersection equipped with the necessary infrastructure, including traffic areas, a traffic light system (LSA), sensors, and V2X communication. The test intersection allows automated and connected vehicles (AVF) to be tested and validated in a controlled environment before the developed vehicle control algorithms are evaluated, tested, and deployed in real traffic. The AI algorithms, models, and datasets used will be analyzed, and their compliance with standards will be verified using a proprietary data analysis tool (SafeAI).

The traffic areas are complemented by an intelligent, variably controlled, movable traffic light system with open interfaces and comprehensive detection sensors for capturing and accurately determining the positions of all road users (including non-connected pedestrians and cyclists).

Realization in the second construction phase with a high-performance computing center for the planned simulators and highly parallel numerical simulations.

The integration of a driving simulator from the Chair of Traffic Engineering at TUM is planned. This will enable virtual experiments to be conducted where real-world implementation on the test intersection would be too dangerous or complex. The close proximity of both environments provides numerous possibilities for nearly latency-free combinations of driving simulation and real-world testing, for example, through real-time linking of both environments into a single experimental setup.