CRPark: A Smart Parking System With Competition and Reservation Services

With the help of communication technology and intelligent transportation system, smart parking has been further upgrading. Compared with traditional parking, smart parking alleviates users from finding available parking slots, through notifying users of available slot locations in advance. However, existing schemes on non-reservation smart parking may cause parking competition, because users will compete for the common known available slots. Although the reservation-based smart parking alleviates parking competition through reserving at slot for users in advance, it may cause parking difficulty when there are no available slots for reserving. A comprehensive parking service is urgently needed, to reduce parking competition under non-reservation smart parking and parking difficulty under reservation-based smart parking. Hence, we propose the CRPark, to manage both the reservation and competition smart parking services. Through the Gaussian Mixture model and heuristic algorithm, we determine the optimal parking lot reservation management strategy, to reduce both parking competition and parking difficulty. Besides, the parking competition analysis helps to estimate the parking cost accurately, so that parking cost can be reduced. Through simulation experiments, our scheme outperforms other schemes on reducing parking cost and balancing parking demand.