Innovative Applications of Big Data in the Railway Industry

Nonfiction, Reference & Language, Transportation, Railroads, Computers, Database Management, Data Processing, Science & Nature, Technology
Cover of the book Innovative Applications of Big Data in the Railway Industry by , IGI Global
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Author: ISBN: 9781522531784
Publisher: IGI Global Publication: November 30, 2017
Imprint: Engineering Science Reference Language: English
Author:
ISBN: 9781522531784
Publisher: IGI Global
Publication: November 30, 2017
Imprint: Engineering Science Reference
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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