Decentralized Autonomous Operations and Organizations in TransVerse: Federated Intelligence for Smart Mobility

Human and social factors are essential to transportation systems, yet top-down management fails to consider them sufficiently. Consequently, management strategies are not tailored to human needs and are inadequate in providing transportation intelligence. This article investigates a management architecture based on decentralized/distributed autonomous operations/organizations (DAOs) that considers both the technical and societal aspects in our transportation metaverse, TransVerse. This design maps people's transportation needs in physical space to their digital counterparts in cyberspace, utilizing blockchain technology to guarantee the secure exchange of information and ultimately bring about the Internet of Minds (IoM). With the federated intelligence that emerged in IoM, we can devise reliable and prompt traffic decisions by incorporating consensus, community voting, and smart contracts into the organizational, coordination, and execution structure. Details on operational procedures and key technologies are also covered. To demonstrate the efficacy of DAOs-based management, a case study of world model-driven cooperative signal control is provided, indicating its promising application in future transportation management.

Automated summary

This article examines a management architecture called decentralized/distributed autonomous operations/organizations (DAOs) that takes into account the human and social factors in transportation systems. Blockchain technology is used to ensure secure information exchange, mapping people's transportation needs from physical space to digital counterparts in cyberspace, ultimately creating the Internet of Minds (IoM). By incorporating consensus, community voting, and smart contracts into the organizational, coordination, and execution structure, reliable and prompt traffic decisions can be made using the federated intelligence of IoM. The article also provides details on operational procedures and key technologies, and showcases a case study on world model-driven cooperative signal control as a promising application of DAOs-based management in future transportation.