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Book Synopsis
Use of big data has proven to be beneficial within many different industries, especially in the field of engineering; however, infiltration of this type of technology into more traditional heavy industries, such as the railways, has been limited.

Innovative Applications of Big Data in the Railway Industry is a pivotal reference source for the latest research findings on the utilization of data sets in the railway industry. Featuring extensive coverage on relevant areas such as driver support systems, railway safety management, and obstacle detection, this publication is an ideal resource for transportation planners, engineers, policymakers, and graduate-level engineering students seeking current research on a specific application of big data and its effects on transportation.

Innovative Applications of Big Data in the

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    A Hardback by Shruti Kohli, A.V. Senthil Kumar, John M. Easton

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      Book details

      Publisher IGI Global
      Published 30 November 2017
      ISBN-13 9781522531760
      978-1522531760
      ISBN-10 1522531769
      Also in:
      Computing Digital and IT general topics Technology, Engineering & Agriculture Railway technology, engineering and trades

      Description

      Book Synopsis
      Use of big data has proven to be beneficial within many different industries, especially in the field of engineering; however, infiltration of this type of technology into more traditional heavy industries, such as the railways, has been limited.

      Innovative Applications of Big Data in the Railway Industry is a pivotal reference source for the latest research findings on the utilization of data sets in the railway industry. Featuring extensive coverage on relevant areas such as driver support systems, railway safety management, and obstacle detection, this publication is an ideal resource for transportation planners, engineers, policymakers, and graduate-level engineering students seeking current research on a specific application of big data and its effects on transportation.

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