Smart Parking Space Allocation Based on a Cooperative System

Abstract

Advanced research solutions for ‘smart parking’ involve the use of vehicular cooperation to share parking information via vehicular ad hoc network. Solutions can be opportunistic when looking for parking spaces, which can increase the competing level and in turn, increase the searching time. Considering the parking resource limitations, we need to take vehicular cooperation to a next level by relaxing the constraints of cooperating drivers and so expanding the feasibility of the search space. This paper presents smart parking model Based on a Cooperative System; a Reward System that allows better use of resources especially during peak hours, by relaxing the constraints of cooperating drivers and so contributing to parking assignment efficiency increase. Subscribed drivers in the Reward System will be able to manage their delays induced by the traffic, since a readjustment of the parking space allocation it will be made dynamically by the system, based on the driver remaining travel time to his destination. In order to work with large-scale parking optimization, a real case mobility scenario is simulated using a SUMO/MATLAB framework. Based on simulation results, compared with non-cooperative parking processes, our model reduces the average parking rate failure and the traveling cost, whereas the overall parking capacity is more efficiently utilized.