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September 11, 2026
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An Approach of Monitoring the Vehicle's Condition Based on Blockchain and Smart Contracts

P. 42–48.
Stanislav Ivanovich Trofimov, Leonid Sergeevich Voskov, Mikhail Mikhailovich Komarov

The development of the Intelligent Transportation System (ITS) is penetrating many economies around the globe. Various researchers in both industry and academia are looking into more efficient management of both vehicles and related data processing aspects. A vast trend related to the latter part is the distributed data processing of the transmitted data. This article discusses approaches to the use of blockchain technology in ITS. It explores the use of blockchain in modern transport industries. Particularly, the paper proposes a novel approach to the maintenance of public transportation vehicles or buses. The specificity of the proposed approach is the autonomous control of the technical condition using information systems. When using blockchain technology, building a transparent vehicle fleet management system is possible. The specificity of the proposed approach lies in the approach to data processing: in the organization, confidence in data increases, the possibility of manipulating transportation is eliminated, and the decision-making chain is reduced. As a result, the system can manage itself. It also helps to increase the service life of vehicles, makes it possible to predict their malfunctions and improves the quality of data on their technical condition.

Language: English
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Keywords: распределенные системыобщественный транспортуправление транспортомtransportation managementBlockchainSmart ContractsPublic transportDistributed ledgerITSИТСсмарт контрактыБлокчейн
Publication based on the results of:
Преодоление ограничений взаимодействия киберфизических систем в гетерогенных сетях удаленного интернета вещей с использованием методов машинного обучения (2023)

In book

ICBTA '24: Proceedings of the 2024 7th International Conference on Blockchain Technology and Applications
NY: Association for Computing Machinery (ACM), 2025.
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