An Automated Method for the Study of Human Reliability in Railway Supervision Systems

This paper presents an original experimental protocol, which aims to study human reliability in railway systems by computing the human error probability (HEP) of human operators. The experiment is conducted on a railway traffic management system that places operators in simulated situations involvin...

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Published inIEEE transactions on intelligent transportation systems Vol. 19; no. 10; pp. 3360 - 3375
Main Authors Ferlin, Antoine, Qiu, Siqi, Bon, Philippe, Sallak, Mohamed, Collart Dutilleul, Simon, Schon, Walter, Cherfi-Boulanger, Zohra
Format Journal Article
LanguageEnglish
Published New York IEEE 01.10.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN1524-9050
1558-0016
DOI10.1109/TITS.2017.2779565

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Abstract This paper presents an original experimental protocol, which aims to study human reliability in railway systems by computing the human error probability (HEP) of human operators. The experiment is conducted on a railway traffic management system that places operators in simulated situations involving railway failures. The obtained experimental result is analyzed first by two classical human reliability analysis methods to estimate the HEP of each subject. Then, a model of human operators using valuation-based system is proposed. Finally, a methodology automatically populates the proposed model by allowing the verification of temporal properties on the simulation trace.
AbstractList This paper presents an original experimental protocol, which aims to study human reliability in railway systems by computing the human error probability (HEP) of human operators. The experiment is conducted on a railway traffic management system that places operators in simulated situations involving railway failures. The obtained experimental result is analyzed first by two classical human reliability analysis methods to estimate the HEP of each subject. Then, a model of human operators using valuation-based system is proposed. Finally, a methodology automatically populates the proposed model by allowing the verification of temporal properties on the simulation trace.
Author Collart Dutilleul, Simon
Qiu, Siqi
Ferlin, Antoine
Bon, Philippe
Schon, Walter
Sallak, Mohamed
Cherfi-Boulanger, Zohra
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Keywords PROBABILITE DE DEFAILLANCE
GESTION DU TRAFIC
HUMAN RELIABILITY ANALYSIS
HUMAN ERROR PROBABILITY
LINEAR TEMPORAL LOGIC (LTL)
STATISTICAL BUCHI AUTOMATON
SIMULATION
RAILWAY/ERTMS
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TRANSPORT FERROVIAIRE
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SubjectTerms Accidents
Analytical models
Computer Science
Computer simulation
Context modeling
Embedded Systems
experiments
Human error
human error probability
Human factors
Human reliability analysis
linear temporal logic (LTL)
Modeling and Simulation
Operators
Rail transportation
railway/ERTMS
Railways
Reliability
Reliability analysis
statistical Büchi automaton
System reliability
Task analysis
Traffic management
Title An Automated Method for the Study of Human Reliability in Railway Supervision Systems
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