Parallel Management of IoV Information Enabled by Blockchain and Decentralized Autonomous Organizations

With the development of intelligent transportation technologies, the Internet of Vehicles (IoV) faces challenges such as data silos, security and privacy concerns, data quality issues, and collaboration barriers. To address the various challenges, this paper proposes an innovative integration scheme called the IoV Data Management System (IDMS). This system is built upon blockchain and parallel intelligence technologies, aiming to solve the challenges presented in the IoV domain. The proposed system uses the decentralized, immutable and traceable characteristics of blockchain, combined with the incentive mechanism and collaboration model of decentralized autonomous organization (DAO), to build a secure and trusted data sharing platform to solve data problems in IoV. This research combines parallel intelligence, blockchain and DAO technologies to provide an innovative framework for IoV information management. The proposed framework enables parallel management of connected vehicle systems, thereby improving safety, reliability and efficiency. Furthermore, it would promote the development and application of vehicle networking technology, and provide more intelligent, convenient and safe services for people's travel experience. Finally, a parking data sharing case study validates the effectiveness of the designed system and demonstrates its potential to solve IoV data management challenges.