A Survey on Railway Assets: A Potential Domain for Big Data

Yogita Jain, Yogesh
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引用次数: 1

Abstract

The railway is an infrastructure insistent industry in which each railroad is operated and maintained on the basis of a significant quantity of data and information gathered from various sources. This paper examines the big data technologies to maintain and enhance the rail industry. Currently, a huge quantity of rail data is being collected at numerous sources in different countries. However, the available data is not effectively utilized with the traditionally existing techniques and technologies. Thus the significant information remains buried under a large number of gigabytes. The paper discusses, 5V’s concept of big data (velocity, volume, veracity, variety, and value) in the railroads monitoring system. Also addresses the different available monitoring systems for rail track defects, application of visual data analysis in railroads for passenger flow with a case study of Shanghai metro network, optimization in big data with a critical dissection of Metaheuristics method and how big technologies leads to big challenges in the real-time railway system.
铁路资产调查:大数据的潜在领域
铁路是一个坚持基础设施建设的行业,每条铁路的运营和维护都是基于从各种来源收集的大量数据和信息。本文探讨了维护和提升铁路行业的大数据技术。目前,正在从不同国家的众多来源收集大量铁路数据。然而,现有的传统技术和技术并没有有效地利用现有的数据。因此,重要的信息仍然隐藏在大量的千兆字节中。本文讨论了5V铁路监控系统中大数据(速度、容量、准确性、种类和价值)的概念。本文还讨论了不同的轨道缺陷监测系统、可视化数据分析在铁路客流中的应用(以上海地铁网络为例)、基于元启发式方法的大数据优化以及大技术如何在实时铁路系统中带来大挑战。
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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