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

Abstract

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.