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Estimating the frequency of trains approaching red signals: A case study for improving the understanding of SPAD risk

Stow, Julian, Zhao, Yunshi and Harrison, Chris (2016) Estimating the frequency of trains approaching red signals: A case study for improving the understanding of SPAD risk. IET Intelligent Transport Systems. ISSN 1751-956X (In Press)

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Abstract

This paper describes a novel technique for estimating the frequency with which trains approach signals showing a red aspect. This knowledge is potentially important for understanding the likelihood of a signal being passed at danger (SPAD) at individual signals and also for normalisation of SPAD data, both locally and nationally, for trending and benchmarking. The industry currently uses estimates for the number of red aspect approaches based on driver surveys which are considered to have significant shortcomings. Data for this analysis is sourced from publicly available live feeds provided by Network Rail which give information on train movements and signal states. The development of the analysis model and supporting software are described and some sample results from case studies are presented. An initial study of seven signalling areas showed that approximately 3.3% of all signal approaches are to red signals. However, it also highlighted that there is a large variation in the red approach rates between signalling areas and between individual signals. SPAD risk assessment at individual signals may be significantly enhanced by the ability to estimate red approach rates for individual signals using the techniques described.

Item Type: Article
Uncontrolled Keywords: signals passed at danger, red signals, SPADS, railways, safety, signalling
Subjects: T Technology > TF Railroad engineering and operation
Schools: School of Computing and Engineering > Institute of Railway Research
School of Computing and Engineering
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Depositing User: Julian Stow
Date Deposited: 15 Jun 2016 15:49
Last Modified: 15 Jun 2016 15:51
URI: http://eprints.hud.ac.uk/id/eprint/28623

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