大都市地铁系统中基于区块链的社会接触跟踪系统模型:评估

IF 2.2 3区工程技术 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY

Jasss-The Journal of Artificial Societies and Social Simulation Pub Date : 2022-01-01 DOI:10.18254/s207751800022481-8

I. Tarkhanov

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引用次数: 0

摘要

公共交通是大都市地区COVID-19传播的主要来源。本文讨论了基于区块链(DLT)的地铁新型冠状病毒社会接触者追踪系统的概念模型。详细介绍了系统主要组成部分的体系结构:接触记录算法、感染通报与风险分析算法、感染者信息在网络上发布过程。为了检验模型的充分性，我们建议使用之前提出的方法来模拟峰值负荷。权益证明基于莫斯科和纽约地铁的真实高峰负荷数据。这一计算表明了该方法对世界上最大的大都市地区的适用性，证实了区块链网络节点的技术特征。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Model of a Blockchain-based Social Contact Tracking system in Metropolitan Subway systems: an evaluation

Public transportation is the primary source of COVID-19 spread in metropolitan areas. This paper discusses the conceptual model of a COVID-19 social contact tracing system in the subway, based on an exclusive blockchain (DLT). The architecture of the main components of the system is considered in detail: an algorithm of contact recording, infection notifications and risk analysis, the process of publishing information about an infected person in the network. To check the adequacy of the model, we propose to use the previously proposed method to simulate the peak load. Proof-of-stake is based on real-life peak load data in the Moscow and New York subways. This calculation shows the applicability of this method for the largest metropolitan areas of the world, substantiates the technical characteristics of blockchain network nodes.

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来源期刊

Jasss-The Journal of Artificial Societies and Social Simulation SOCIAL SCIENCES, INTERDISCIPLINARY-

CiteScore

7.40

自引率

9.50%

发文量

审稿时长

21 weeks

期刊介绍： The Journal of Artificial Societies and Social Simulation is an interdisciplinary journal for the exploration and understanding of social processes by means of computer simulation. Since its first issue in 1998, it has been a world-wide leading reference for readers interested in social simulation and the application of computer simulation in the social sciences. Original research papers and critical reviews on all aspects of social simulation and agent societies that fall within the journal"s objective to further the exploration and understanding of social processes by means of computer simulation are welcome.