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This project is about the Smart Home Supply Chain Scenario.

The CPS is driving around virtual Vienna, relocating itself between different Point of Interests (POIs).

Self-driving vehicles can suggest intelligent leisure appointments for a ride with a customer based on certain environmental conditions.

Give the passenger the possibility to find the best fitting car for his ride.

Scenarios; Fridge, Toilet, Car

Growing different kinds of crops.

The customer gets a dynamic price (rental car) generated based on the current environmental factors.

Personal routing - offer the routing with choices, where a user can store his personal preferences for a route.

The car-sharing provider’s cars can monitor their own state in terms of the viral load on the inside of the car and communicate it to potential customers

The integration of a subsequent price adjustment under consideration of autonomous technologies enables the service provider to guarantee a high quality of car sharing service.