MobbyPark launches new offer: Digital prediction of parking behaviour
MobbyPark’s new offer now enables an even more data driven approach to parking management. It also helps parking providers to get a deep understanding of their parking inventory, as well as predict both the supply and demand of parking spaces
For cities, parking operators and property owners, MobbyPark is now launching a brand new tool that will enable a data driven approach to parking management and planning.
The tool is built around a unique technology that helps parking providers understand their inventory in detail, as well as predict the demand for parking down to specific times for individual streets. The tool can thus be used for optimization of traffic flow and decision making in multiple areas. Pricing, enforcement, planning of new parking locations and restrictions are some examples, as well as planning for alternative transport options such as public transportation.
The new service is called ”Parking Data as a Service”.
- Data Driven Optimisation
- Applications based on ML algorithms
- Self Learning Networks
- Parking Pricing
- Applications based on IoT solutions
We believe the potential in city planning and parking management is huge. The opportunity to directly improve the parking availability has great benefits for drivers, since it makes it easier to find an empty parking space. With a shorter search time, fewer cars will have to circle looking for spaces which makes this a great example of technology supporting greener cities.
When space is used better, everybody wins
Using a combination of advanced technology and methods, information is combined with MobbyPark’s predictive software which provides unique insights into the parking behaviour of the area.
Through the MobbyPark app, drivers also get suggestions on parking availability and can save valuable time when searching for parking spots. It can also play an important role in making the city more sustainable and liveable, with less unnecessary circulation of cars and less emissions and congestion