The municipality of Copenhagen has faced the parking problem by collection data from 30 different sources which includes parking and traffic situations, incidents, events, excavation work, etc. Those historical data and real time data are merged, and through algorithms and technological equipment it is now possible to predict where to find an empty parking spot.
During the summer of 2017 the concept was tested, and it has identified methods to predict parking patterns day to day. There by it gives the driver information on the probability of finding an empty parking spot.
Developers and providers of navigation systems, smartphone apps and others have been given free access to the data.
The goal of the Smart Parking Initiative is to minimize the searching time used to find an empty parking spot which will reduce emissions. It will also be a step towards becoming a CO2 neutral city. But there is a demand for help to convert the data into new services, such as:
- Upgrading existing navigation platforms with information on nearest parking spot and the parking prices.
- Provide with an overview of near public parking spots.
- Guide drivers to a parking spot near certain locations like restaurants, shops etc.