The Cloud-interactive knowledge Parking intervention model

There are so many vehicles in the world and the number of vehicles is increasing rapidly. The main reason of wasting time in search of free parking spaces is the lack of information, in particular for open/roadside parking availability. Various ICT-based solutions have been proposed to solve this issue, but still suffering from limited integration among each other and with external online services, such as touristic information services. In this paper, we introduced a new parking system Cloud-interactive (Ci) - Parking. The parking process can be modeled as self machine learning process and the accurate when and what predictions as well as predictions of revenues can be made. Based on the prediction, new business promotion can be made, for example, on-sale prices and new parking fees. In Ci-Parking, new promotions can be published through wireless network. Another important feature of the Ci-Parking is the possibility for end users to share their knowledge about parking occupancy, which is very useful when a parking area is not provided with precise availability counters.