Application of blockchain and smart contracts in autonomous vehicle supply chains: An experimental design

Manimuthu Arunmozhi, V. G. Venkatesh, Sobhan Arisian*, Yangyan Shi, V. Raja Sreedharan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


With the rise of digital sustainable business models in the Autonomous Vehicles (AV) industry, the traditional automakers are undergoing a major restructuring in their key performance areas and associated supply chains processes. Focusing on an innovative AV design (AD) concept, this paper investigates how Artificial Intelligence (AI) and Blockchain-based Smart Contracts can enhance sustainable supply chain operations. A novel design element, Margin Indicator (MI), is developed to obtain reliable predictive analytics results from the mainstream machine learning algorithms. The proposed approach supports a robust control of costs and energy, while maintaining a high level of transparency in managing decentralized AV supply chain processes, monetary impacts, and environmental sustainability. Testing the developed concept through a preliminary case study, we observed a reduction in energy wastage and hidden financial transactions by 12.48% and 11.58%, respectively. Supported by the rapid advancement in the blockchain and AI technologies, the developed framework is expected to improve product traceability, transaction transparency, and sustainable economic growth for the AV supply chains.

Original languageEnglish
Article number102864
Pages (from-to)1-23
Number of pages23
JournalTransportation Research Part E: Logistics and Transportation Review
Publication statusPublished - Sept 2022


  • Artificial intelligence
  • Autonomous vehicle
  • Blockchain
  • Digital supply chain
  • Smart contract
  • Sustainable logistics


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