Big Data and Natural Language Processing for Analysing Railway Safety

Syeda, Kanza Noor and Shirazi, Syed Noor Ul Hassan and Naqvi, Syed Asad Ali and Parkinson, Howard J. and Bamford, Gary (2017) Big Data and Natural Language Processing for Analysing Railway Safety. In: Innovative Applications of Big Data in the Railway Industry. IGI Global Publishing, pp. 240-267. ISBN 9781522531760

Full text not available from this repository.


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.

Item Type:
Contribution in Book/Report/Proceedings
ID Code:
Deposited By:
Deposited On:
04 May 2017 14:18
Last Modified:
21 Nov 2022 16:12