Big Data Risk Analysis for Railway Safety

Van Gulijk, Coen, Hughes, Peter and Figueres-Esteban, Miguel (2016) Big Data Risk Analysis for Railway Safety. In: World Congress of Railway Research, 29th May - June 2nd 2016, Milan. (Unpublished)

Preview

PDF - Accepted Version Download (403kB) | Preview

Abstract

Computer scientists are quite clear in their belief that the internet is coming of age. They have a firm belief that the enormous amounts of data floating around in the internet will unchain a management revolution of uncanny proportions. This revolution is referred to as ‘Big Data’. Yet,
to date, the potential benefit of this revolution is scantily investigated for safety and risk
management of the railways. This work reports about an investigation how Big Data can contribute
to safety systems for the GB railways. The experience that is gained also sheds light on Big Data as a driver for change in the railway industry as a whole.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	BDRA, Railway, Safety
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management T Technology > TF Railroad engineering and operation
Schools:	School of Computing and Engineering > Institute of Railway Research
Related URLs:	Author Author Author
Depositing User:	Coen Van Gulijk
Date Deposited:	26 Apr 2016 11:00
Last Modified:	28 Aug 2021 17:13
URI:	http://eprints.hud.ac.uk/id/eprint/28127

Downloads

Repository Staff Only: item control page

View Item