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OMiLAB Community of Practice » OMiLAB@University of Vienna » Digital Innovation Environment » Experiments

Dynamic Pricing Approach


Source code:

Use Case

Since the rental price of the car should not be the same all the time, we came up with a system in which the customer gets a dynamic price generated based on the current environmental factors and can control the car through a joystick implementation. 

Experiment

This price depends, for example, on the weather, number of seats, comfort features and other variables. Thus, each customer gets a new price at the time he makes the booking request. Afterwards he can accept or reject it and our mBot (which represents the car sharing car) navigates in our example. At a point where the mBot has navigated autonomously to the customer, the customer can now get in and take control himself. This is covered by a built-in joystick. Once the mBot has arrived at the customer’s location, the joystick control activates and the mBot can be navigated manually. 

After the customer gets out of the car again, the mBot goes back into autonomous mode and steers over the black lines again in the experiment. Now the mBot automatically drives to a terminal station and the experiment ends.

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