Machine learning routing for parking lots
According to an analysis by INRIX in the USA, drivers spend 17 hours a year looking for parking spaces. This is not only a waste of time and stress, but also leads to higher emissions in cities.
We have developed an end-to-end solution for drivers, i.e. A routing application for the vehicle's navigation system. This parking lot routing uses a new ML-based algorithm that we developed. It reduces the time for motorists to find a parking space by taking into account parking probabilities, walking time from parking space to destination, and other attributes.
You are curious and want to find out more about our projects?
Please get in touch with us. We would be happy to talk with you!