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Witness of Things: Blockchain-based distributed decision record-keeping system for autonomous vehicles

Serkan Ayvaz (Department of Software Engineering, Bahcesehir Universitesi, Istanbul, Turkey)
Salih Cemil Cetin (Department of Computer Engineering, Bahcesehir Universitesi, Istanbul, Turkey)

International Journal of Intelligent Unmanned Systems

ISSN: 2049-6427

Article publication date: 4 April 2019

Issue publication date: 4 April 2019

2

Abstract

Purpose

The purpose of this paper is to develop a model for autonomous cars to establish trusted parties by combining distributed ledgers and self-driving cars in the traffic to provide single version of the truth and thus build public trust.

Design/methodology/approach

The model, which the authors call Witness of Things, is based on keeping decision logs of autonomous vehicles in distributed ledgers through the use of vehicular networks and vehicle-to-vehicle/vehicle-to-infrastructure (or vice versa) communications. The model provides a single version of the truth and thus helps enable the autonomous vehicle industry, related organizations and governmental institutions to discover the true causes of road accidents and their consequences in investigations.

Findings

In this paper, the authors explored one of the potential effects of blockchain protocol on autonomous vehicles. The framework provides a solution for operating autonomous cars in an untrusted environment without needing a central authority. The model can also be generalized and applied to other intelligent unmanned systems.

Originality/value

This study proposes a blockchain protocol-based record-keeping model for autonomous cars to establish trusted parties in the traffic and protect single version of the truth.

Keywords

Citation

Ayvaz, S. and Cetin, S.C. (2019), "Witness of Things: Blockchain-based distributed decision record-keeping system for autonomous vehicles", International Journal of Intelligent Unmanned Systems, Vol. 7 No. 2, pp. 72-87. https://doi.org/10.1108/IJIUS-05-2018-0011

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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