Research Article

Consensus-Driven Identity Management for Autonomous Vehicle Fleet Coordination in Smart Cities

24 reads
J Ong Block Crypt Res, 2026, 1 (1), 52-58, doi: , ISSN

Abstract

As urban centers transition toward smart mobility frameworks, autonomous vehicle (AV) fleets require decentralized, secure, and latency-sensitive identity management systems to ensure resilient coordination and prevent Sybil or impersonation attacks. Traditional centralized Public Key Infrastructure (PKI) models suffer from single points of failure, administrative friction, and severe communication overhead in dynamic Vehicle-to-Everything (V2X) environments. This paper proposes a lightweight, consensus-driven Self-Sovereign Identity (SSI) framework tailored for AV fleet management utilizing a Byzantine Fault Tolerant (BFT) directed acyclic graph (DAG) blockchain architecture. Our model integrates W3C-compliant decentralized identifiers (DIDs) with zero-knowledge proofs (ZKPs) to enable verifiable credential verification while strictly preserving vehicle operational and location privacy. Through extensive simulation of 1,000 AV nodes operating within a high-density urban grid scenario, the proposed architecture achieved a 64% reduction in identity verification latency compared to conventional Ethereum-based state channels, while maintaining a 99.98% transaction validation success rate under heavy network stress. Furthermore, the protocol demonstrates robust resistance against rogue node insertion and identity spoofing attacks. These findings indicate that integrating DAG-based consensus mechanisms with zero-knowledge decentralized identity constructs provides a scalable, privacy-preserving foundation for real-time AV fleet coordination in next-generation smart cities.

Keywords blockchain smart cities autonomous vehicles consensus mechanisms Self-Sovereign Identity
Authors 2

The team behind this paper

2 authors, 2 institutions.

This paper University of Cape Town — South Africa University of Cape Town 1 author Pontifical Catholic University of Chile — Chile Pontifical Catholic Uni… 1 author Prof. Amara Chukwu — corresponding author AC Prof. Amara Chukwu ✉ Dr. Mateo Benítez MB Dr. Mateo Benítez

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August 2026 September 2026

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Bibliographic Information

Prof. Amara Chukwu, Dr. Mateo Benítez, (2026). Consensus-Driven Identity Management for Autonomous Vehicle Fleet Coordination in Smart Cities, Journal of Ongoing Blockchain and Cryptocurrency Research, 1(1): 52-58
Bibtex Citation
@article{prof._amara_chukwu2026jobc,
author = {Prof. Amara Chukwu and Dr. Mateo Benítez},
title = {Consensus-Driven Identity Management for Autonomous Vehicle Fleet Coordination in Smart Cities},
journal = {Journal of Ongoing Blockchain and Cryptocurrency Research},
year = {2026},
volume = {1},
number = {1},
pages = {52-58},
doi = {},
url = {https://scimatic.org/show_manuscript/9119}
}
APA Citation
Chukwu, P.A., Benítez, D.M., (2026). Consensus-Driven Identity Management for Autonomous Vehicle Fleet Coordination in Smart Cities. Journal of Ongoing Blockchain and Cryptocurrency Research, 1(1), 52-58. https://doi.org/

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