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Advancing Vehicular Healthcare: The DAO-Based Parallel Maintenance for Intelligent Vehicles

  • Xingxia Wang
  • , Juanjuan Li*
  • , Lili Fan
  • , Yutong Wang
  • , Yuke Li
  • *Corresponding author for this work
  • University of Chinese Academy of Sciences
  • CAS - Institute of Automation
  • Waytous Company Ltd.

Research output: Contribution to journalArticlepeer-review

Abstract

The 21st century has witnessed the unprecedented evolution of intelligent transportation systems, and the automotive industry is facing great challenges and opportunities. For the current research in vehicle maintenance, it overlooks issues related to data security and customized services, which have the pivotal role in the Industry 5.0 era. This letter, as a summary of the Distributed/Decentralized Hybrid Workshop on Sustainable Vehicular Ecology (DHW-SVE), discusses the DAO(decentralized autonomous organizations and operations)-based parallel maintenance, which aims not only to promote vehicular healthcare but also to facilitate data security. In addition, DAO will enable parallel maintenance with the capability of providing customized services that are closely aligned with the consumers' preferences, offering them safe and unique experiences. Driven by the decentralized mechanism, parallel maintenance will pave the way for a future that prioritizes human demands and welcomes human-oriented collaborative governance.

Original languageEnglish
Pages (from-to)4671-4673
Number of pages3
JournalIEEE Transactions on Intelligent Vehicles
Volume8
Issue number12
DOIs
Publication statusPublished - 1 Dec 2023

Keywords

  • DAO
  • human-oriented systems
  • Parallel maintenance
  • vehicle maintenance
  • vehicular healthcare

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