PARKING OPTIMISATION
The information available to drivers, cities and parking operators increases hugely when intelligence is applied to parking services. Cities and operators looking to deploy smart parking should ensure that the data which will be generated by smart parking services is not held in silos, but is accessible by relevant stakeholders to ensure that a suitable approach to parking can be taken. Smart Parking will change the way that parking is used. Display signage and apps that are used today can be made much more dynamic and let drivers know not just if a space is available, but where those spaces are, how much they cost and how long a vehicle can park there for. The IoT allows cities, parking operators, app providers and even private residents with garages to dynamically offer parking throughout the day. The data can be extended to provide enforcement teams with details of parking availability and let them answer queries on the spot, and allow comparison with any contentious matter that the driver may report. It can also allow integrated management of other city infrastructure such as public transport and air quality sensors to ensure that parking, traffic and travel are seen as an integrated whole across the city, with all stakeholders involved. For example, parking charges can be based on vehicle emissions, so heavy polluters pay more than cleaner vehicles. This can be tied back to air quality date to show improvements in the environment. The success of integrating data from disparate sources together relies on the continued security and thus privacy of that data, and not all parties will be willing to share if an effective security methodology is not in place. Parking operators and cities must ensure that all their service providers and technology partners are able to offer secure communications and handling of data.
IoT big data allows for the sharing of IoT and context data so solutions utilising data from multiple sources can be developed. For parking, IoT parking sensor data could be combined with weather, air quality, traffic and other transport data to provide an analysis of traffic and parking trends and enable dynamic transport and parking regimes.