首页|Findings from University of Science and Technology Beijing Yields New Findings on Intelligent Vehicles (A Trustworthy Internet of Vehicles: the Dao To Safe, Secure, and Collaborative Autonomous Driving)

Findings from University of Science and Technology Beijing Yields New Findings on Intelligent Vehicles (A Trustworthy Internet of Vehicles: the Dao To Safe, Secure, and Collaborative Autonomous Driving)

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Investigators discuss new findings in Transportation - Intelligent Vehicles. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “The potential of the Internet of Vehicles (IoV) to reduce on-board system costs in autonomous vehicles through shared intelligence is considerable. However, it still faces significant challenges, including concerns over data breaches and privacy, inefficiencies and limited fault tolerance in centralized management, and the challenge of ensuring data accuracy.” Financial support for this research came from National Key Research and Development Program of China. Our news journalists obtained a quote from the research from the University of Science and Technology Beijing, “This letter marks the inaugural report from a series of IEEE Transactions on Intelligent Vehicles (TIV) Trustworthy IoV Workshops, which aim to address these issues. In these workshops, we explore the concept of a decentralized IoV (DeIoV), underpinned by decentralized autonomous organizations and operations (DAOs), to facilitate trustworthy interactions between vehicles and other entities. The proposed DeIoV is structured in two layers: the local DAO layer and the global DAO layer. This dual-layer architecture distinguishes between real-time and non-real-time decision-making tasks, aiding in their efficient completion. To ensure data security, integrity, and accuracy, we employ blockchain technology and smart contracts, which allow for mutual verification among adjacent members and utilize encryption algorithms. A reputation value-based voting mechanism for decision-making is also introduced, which helps prevent the monopolization of power through token-based systems, a common issue in traditional DAOs.”

BeijingPeople’s Republic of ChinaAsiaIntelligent VehiclesTransportationUniversity of Science and Technology Beijing

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.23)
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