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Big Data and Natural Language Processing for Analysing Railway Safety

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Publication date11/2017
Host publicationInnovative Applications of Big Data in the Railway Industry
EditorsDr. Shruti Kohli, Dr. A.V. Senthil Kumar, Dr. J.M. Easton, Prof. C. Roberts
PublisherIGI Global Publishing
Pages240-267
Number of pages28
ISBN (electronic)9781522531777
ISBN (print)9781522531760
<mark>Original language</mark>English

Abstract

In this work, we focus on accident causation for the railway industry by exploiting text analysis approaches mainly Natural Language Processing (NLP). We review and analyse investigation reports of railway accidents in the UK, published by the Rail Accident Investigation Branch (RAIB), aiming to reveal the presence of entities which are informative of causes and failures such as human, technical and external. We give an overview of a framework based on NLP and machine learning to analyse the raw text from RAIB reports which would assist risk and incident analysis experts to study causal relationship between causes and failures
towards the overall safety in rail industry. The approach can also be generalized to other safety critical domains such as aviation etc.