Learning from Close Calls

Hughes, Peter, Figueres-Esteban, Miguel and Van Gulijk, Coen (2015) Learning from Close Calls. Technical Report. SPARK, Huddersfield, UK.

	PDF - Published Version Restricted to Registered users only Download (1MB)
Preview	PDF - Additional Metadata Download (62kB) | Preview

Abstract

This report is the first deliverable from the Learning From Close Call Events project being undertaken by the University of Huddersfield as part of the Strategic Partnership with RSSB. The Close Call database is maintained by RSSB, detailing safety‐related incidents from the railway which had
the potential to, but did not, lead to accidents. The object of the project is to use computer-based methods to extract safety learning from the unstructured data in the Close Call database. This work reports the proof-of-principle for computer-based extraction of safety lessons from the Close
Call database; it demonstrates a functioning process for computer-based information extraction and demonstrates its successful use in two case studies.

Item Type:	Monograph (Technical Report)
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
Schools:	School of Computing and Engineering School of Computing and Engineering > Institute of Railway Research
Related URLs:	Author Publisher http://www.sparkrail.org/Lists/Records/D...
Depositing User:	Miguel Figueres Esteban
Date Deposited:	30 Apr 2015 10:46
Last Modified:	11 Aug 2017 21:44
URI:	http://eprints.hud.ac.uk/id/eprint/24256

Downloads

Repository Staff Only: item control page

View Item