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Railway assets: A potential domain for big data analytics

  • Adithya Thaduri
  • , Diego Galar
  • , Uday Kumar
  • Luleå University of Technology

Producción científica: Contribución a una revistaArtículo de la conferenciarevisión exhaustiva

114 Citas (Scopus)

Resumen

Two concepts currently at the leading edge of todays information technology revolution are Analytics and Big Data. The public transportation industry has been at the forefront in utilizing and implementing Analytics and Big Data, from ridership forecasting to transit operations Rail transit systems have been especially involved with these IT concepts, and tend to be especially amenable to the advantages of Analytics and Big Data because they are generally closed systems that involve sophisticated processing of large volumes of data. The more that public transportation professionals and decision makers understand the role of Analytics and Big Data in their industry in perspective, the more effectively they will be able to utilize its promise. This paper gives an overview of Big Data technologies in context of transportation with specific to Railways. This paper also gives an insight on how the existing data modules from the transport authority combines Big Data and how can be incorporated in providing maintenance decision making.

Idioma originalInglés
Páginas (desde-hasta)457-467
Número de páginas11
PublicaciónProcedia Computer Science
Volumen53
N.º1
DOI
EstadoPublicada - 2015
Publicado de forma externa
EventoINNS Conference on Big Data 2015 - San Francisco, Estados Unidos
Duración: 8 ago 201510 ago 2015

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 11: Ciudades y comunidades sostenibles
    ODS 11: Ciudades y comunidades sostenibles

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