SAPMS: A secure and anonymous parking management system for autonomous vehicles

Abstract

Recent surveys on autonomous vehicle (AV) (SAE level 5) have shown its potential in transforming road transportation system. Its advent will revolutionise road transportation, however, before this could happen vital operations in road transportation management need re-modification or redesign. One of these operations is parking system; most of the existing parking systems are targeted towards non-autonomous vehicles, where parking is not only distance-bound but parking prices are affected by other factors such as time and location. In this paper, a smart and anonymous parking management system using a novel space selection technique and anonymous authentication for space selection and reservation is proposed. The system determines the parking pattern with the lowest parking cost using the developed space selection algorithm. The performance of the system was evaluated in terms of estimated computation cost and possibility of obtaining optimal parking pattern under the dynamic pricing system. The results showed that the proposed system is capable of selecting the best parking pattern at the lowest computational cost.