Innovative Applications of Big Data in the Railway Industry
- 8h 31m
- A.V. Senthil Kumar, Clive Roberts (eds), John M. Easton, Shruti Kohli
- IGI Global
- 2018
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.
In this Book
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Big Data in Railway O&M: A Dependability Approach
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Blockchains: A Distributed Data Ledger for the Rail Industry
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Visual and LIDAR Data Processing and Fusion as an Element of Real Time Big Data Analysis for Rail Vehicle Driver Support Systems
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Wayside Train Monitoring Systems: Origin and Application
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Scalable Software Framework for Real–Time Data Processing in the Railway Environment
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Predicting Behavior of Passengers Using Data Collected Through Smart Cards
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Dynamic Behavior Analysis of Railway Passengers
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Intelligent Transport Systems Services in VANETs and Case Study in Urban Environment
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Study and Analysis of Delay Factors of Delhi Metro Using Data Sciences and Social Media: Automatic Delay Prediction System for Delhi Metro
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Social Media as a Tool to Understand Behaviour on the Railways
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Big Data and Natural Language Processing for Analysing Railway Safety: Analysis of Railway Incident Reports
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Evolution of Indian Railways Through IoT
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Application of Big Data Technologies for Quantifying the Key Factors Impacting Passenger Journey in a Multi–Modal Transportation Environment
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Big Data Analytics for Train Delay Prediction: A Case Study in the Italian Railway Network
