Decentralized Public Transport Management System Based on Blockchain Technology

被引:0
|
作者
Trofimov, Stanislav [1 ]
Voskov, Leonid [2 ]
Komarov, Mikhail [1 ]
机构
[1] HSE Univ, Grad Sch Business, Moscow 101000, Russia
[2] HSE Univ, Dept Comp Engn, Moscow 101000, Russia
来源
APPLIED SCIENCES-BASEL | 2025年 / 15卷 / 03期
关键词
ITS; distributed systems; blockchain; smart contracts; transportation management; public transport; SECURE;
D O I
10.3390/app15031348
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The development of intelligent transportation systems (ITSs) is penetrating many economies around the globe. This paper presents three key innovations in the field of intelligent transportation systems, as follows: (1) a novel tokenization approach where each vehicle is represented as a macro-token subdivided into 500,000 micro-tokens for precise condition monitoring, (2) a comprehensive mathematical model for vehicle state assessment incorporating multiple operational factors, and (3) the GDEPZ method for optimizing data transmission via satellite communication. These innovations enable the autonomous control of technical conditions, transparent fleet management, and efficient data processing in hard-to-reach areas. Various researchers in both industry and academia are looking into more efficient management methods for both vehicles and related data processing aspects. A vast trend related to the latter is the distributed data processing of transmitted data. This article discusses approaches to the use of blockchain technology in ITSs. It explores the use of blockchains in modern transport industries. In particular, the paper proposes a novel approach to the maintenance of public transportation vehicles and buses. The specificity of the proposed approach is the autonomous control of technical conditions using information systems. When using blockchain technology, building a transparent vehicle fleet management system is possible. The specificity of the proposed approach lies in data processing. Within 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. This 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 conditions.
引用
收藏
页数:21
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