Predicting car park availability for a better delivery bay management
Hanae Errousso, Nicolas Malhéné, Siham Benhadou, Hicham Medromi
Abstract
Freight parking is a serious problem in smart mobility and we address it in an innovative manner. We propose an intelligent urban parking management system capable to modify in real time the status of any parking spaces, from a conventional place to a delivery bay and inversely. Its driving force is the parking availability prediction. In this article, we model the parking occupancy by many regression types. We analyze their results, identify their strengths as well as their weaknesses and deduce the most effective one. We calculate the probability of a place being left free by the actuarial method. To do so, we exploit a massive amount of real-time parking availability data collected and disseminated by the City of Melbourne, Australia.