PAA: A Blockchain-Based Parking Assistance Alliance With User Preference

Abstract

In order to improve traffic conditions and environmental pollution caused by automobile exhaust, it is critical and challenging to help numerous vehicle users to obtain ideal parking spaces in terms of quality of experience (QoE), security and efficiency. The parking assistance scheme using the consortium blockchain can get a tradeoff between security and efficiency, but it is a key issue to meet the preferences of parking space seekers and design a well-operated incentive sharing mechanism. This paper proposes a Parking Assistance Alliance (PAA) scheme based on double auction for vehicular blockchain. Through truthful incentives, the PAA encourages vehicles in the alliance to provide parking information for nearby vehicle users. Further, the vehicle user’s preference is fully considered when assigning the parking space. The matching priority is introduced by incorporating the parking space supply and demand, as a reference to provide prioritized service. Theoretical proofs and simulation results show that the PAA scheme can achieve individual rationality, budget balance, and truthfulness, with high user satisfaction, and the PAA scheme deployed on the IBM Hyperledger Fabric platform outperforms the existing method with an average of 7.42% higher successful allocation ratio and 35.4% less transaction confirmation time.