Safety Analysis of Automatic Train Operation Based on ETCS

Ziyue Tang; Ning Zhao; Khalid Khan; Katinka Wolter

doi:10.1007/978-3-031-43366-5_3

Safety Analysis of Automatic Train Operation Based on ETCS

Ziyue Tang^*
, Ning Zhao
, Khalid Khan
, Katinka Wolter^*

^*Corresponding author for this work

Electronic, Electrical and Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In Germany and throughout Europe, train operation using the European Train Control System (ETCS) is the most common solution for current trains running on the mainlines. This paper presents a safety analysis of the Automatic Train Operation (ATO) system. The System Modeling Language (SysML) is used to visually model the logical relationships of the mainline ATO system based on ETCS. The Failure Mode and Effect Analysis (FMEA) is used to perform a qualitative safety analysis to identify all possible failure modes of the system. State-space modeling and dynamic quantitative analysis are carried out using a Markov chain model. In order to verify the degree of safety of the ATO model, a real data set from a train operator was used for simulation. We show that using an ETCS-based ATO system to control trains can achieve higher reliability on the mainline with less maintenance than if experienced drivers control trains.

Original language	English
Title of host publication	Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification
Subtitle of host publication	5th International Conference, RSSRail 2023, Berlin, Germany, October 10–12, 2023, Proceedings
Editors	Birgit Milius, Simon Collart-Dutilleul, Thierry Lecomte
Publisher	Springer
Pages	43-61
Number of pages	19
Edition	1
ISBN (Electronic)	9783031433665
ISBN (Print)	9783031433658
DOIs	https://doi.org/10.1007/978-3-031-43366-5_3
Publication status	Published - 8 Sept 2023
Event	5th International conference on Reliability, Safety and Security of Railway Systems: Modelling, Analysis, Verification and Certification, RSSRail 2023 - Berlin, Germany Duration: 10 Oct 2023 → 12 Oct 2023

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	14198
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International conference on Reliability, Safety and Security of Railway Systems: Modelling, Analysis, Verification and Certification, RSSRail 2023
Country/Territory	Germany
City	Berlin
Period	10/10/23 → 12/10/23

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

ATO
ETCS
Markov chain
safety analysis
SysML

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-031-43366-5_3

Cite this

Tang, Z., Zhao, N., Khan, K., & Wolter, K. (2023). Safety Analysis of Automatic Train Operation Based on ETCS. In B. Milius, S. Collart-Dutilleul, & T. Lecomte (Eds.), Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification: 5th International Conference, RSSRail 2023, Berlin, Germany, October 10–12, 2023, Proceedings (1 ed., pp. 43-61). (Lecture Notes in Computer Science; Vol. 14198). Springer. https://doi.org/10.1007/978-3-031-43366-5_3

Tang, Ziyue ; Zhao, Ning ; Khan, Khalid et al. / Safety Analysis of Automatic Train Operation Based on ETCS. Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification: 5th International Conference, RSSRail 2023, Berlin, Germany, October 10–12, 2023, Proceedings. editor / Birgit Milius ; Simon Collart-Dutilleul ; Thierry Lecomte. 1. ed. Springer, 2023. pp. 43-61 (Lecture Notes in Computer Science).

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abstract = "In Germany and throughout Europe, train operation using the European Train Control System (ETCS) is the most common solution for current trains running on the mainlines. This paper presents a safety analysis of the Automatic Train Operation (ATO) system. The System Modeling Language (SysML) is used to visually model the logical relationships of the mainline ATO system based on ETCS. The Failure Mode and Effect Analysis (FMEA) is used to perform a qualitative safety analysis to identify all possible failure modes of the system. State-space modeling and dynamic quantitative analysis are carried out using a Markov chain model. In order to verify the degree of safety of the ATO model, a real data set from a train operator was used for simulation. We show that using an ETCS-based ATO system to control trains can achieve higher reliability on the mainline with less maintenance than if experienced drivers control trains.",

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note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 5th International conference on Reliability, Safety and Security of Railway Systems: Modelling, Analysis, Verification and Certification, RSSRail 2023 ; Conference date: 10-10-2023 Through 12-10-2023",

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Tang, Z, Zhao, N, Khan, K & Wolter, K 2023, Safety Analysis of Automatic Train Operation Based on ETCS. in B Milius, S Collart-Dutilleul & T Lecomte (eds), Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification: 5th International Conference, RSSRail 2023, Berlin, Germany, October 10–12, 2023, Proceedings. 1 edn, Lecture Notes in Computer Science, vol. 14198, Springer, pp. 43-61, 5th International conference on Reliability, Safety and Security of Railway Systems: Modelling, Analysis, Verification and Certification, RSSRail 2023, Berlin, Germany, 10/10/23. https://doi.org/10.1007/978-3-031-43366-5_3

Safety Analysis of Automatic Train Operation Based on ETCS. / Tang, Ziyue; Zhao, Ning; Khan, Khalid et al.
Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification: 5th International Conference, RSSRail 2023, Berlin, Germany, October 10–12, 2023, Proceedings. ed. / Birgit Milius; Simon Collart-Dutilleul; Thierry Lecomte. 1. ed. Springer, 2023. p. 43-61 (Lecture Notes in Computer Science; Vol. 14198).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Tang Z, Zhao N, Khan K, Wolter K. Safety Analysis of Automatic Train Operation Based on ETCS. In Milius B, Collart-Dutilleul S, Lecomte T, editors, Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification: 5th International Conference, RSSRail 2023, Berlin, Germany, October 10–12, 2023, Proceedings. 1 ed. Springer. 2023. p. 43-61. (Lecture Notes in Computer Science). doi: 10.1007/978-3-031-43366-5_3