Detection of high-speed red-aspect approaches using a multi-data approach

Rawia El Rashidy, Peter Hughes, Coen Van Gulijk

Research output: Contribution to journalArticle

Abstract

This paper proposes a proactive safety indicator for Signals Passed at Danger (SPAD) using multiple data sources. The proposed technique integrates data sources using a graph database and R software to store, process and analyze the train services and signals data to yield a key performance indicator for high-speed red-aspect approaches. The method is illustrated using a case study where three data sources were used viz., On Train Data Recorders (OTDR), Red Aspect Approach to Signals (RAATS) data and the railway infrastructure manager's signal database. The proposed approach aims to shift safety management for SPADs from ‘avoiding things going wrong’ to ‘ensuring that everything goes right’. The approach is complementary to the current driver competency performance system, potentially allowing the driver supervisors to evaluate drivers' braking style without any subjectivity. It also indicates which signals on the infrastructure may be particularly prone to SPADs, even if a SPAD has not occurred there yet.
Original languageEnglish
Pages (from-to)583-588
Number of pages6
JournalSafety Science
Volume120
Early online date12 Aug 2019
DOIs
Publication statusE-pub ahead of print - 12 Aug 2019

Fingerprint

Information Storage and Retrieval
Supervisory personnel
Braking
Databases
Safety Management
Managers
driver
Software
infrastructure
Safety
performance
subjectivity
German Federal Railways
manager
SPAD
management

Cite this

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Detection of high-speed red-aspect approaches using a multi-data approach. / El Rashidy, Rawia; Hughes, Peter; Van Gulijk, Coen.

In: Safety Science, Vol. 120, 01.12.2019, p. 583-588.

Research output: Contribution to journalArticle

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