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DFT modeling approach for operational risk assessment of railway infrastructure

Weik, Norman and Volk, Matthias and Katoen, Joost-Pieter and Nießen, Nils (2022) DFT modeling approach for operational risk assessment of railway infrastructure. International Journal on Software Tools for Technology Transfer, 24 (3), pp. 331-350. Springer. doi: 10.1007/s10009-022-00652-4. ISSN 1433-2779.

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Official URL: https://link.springer.com/article/10.1007/s10009-022-00652-4


Reliability engineering of railway infrastructure aims to understand failure processes and to improve the efficiency and effectiveness of investments and maintenance planning such that a high quality of service is achieved. While formal methods are widely used to verify the design specifications of safety-critical components in train control, quantitative methods to analyze the service reliability associated with specific system designs are only starting to emerge. In this paper, we strive to advance the use of formal fault-tree modeling for providing a quantitative assessment of the railway infrastructure's service reliability in the design phase. While, individually, most subsystems required for route-setting and train control are well understood, the system's reliability to globally provide its designated service capacity is less studied. To this end, we present a framework based on dynamic fault trees that allows to analyze train routability based on train paths projected in the interlocking system. We particularly focus on the dependency of train paths on track-based assets such as switches and crossings, which are particularly prone to failures due to their being subject to weather and heavy wear. By using probabilistic model checking to analyze and verify the reliability of feasible route sets for scheduled train lines, performance metrics for reliability analysis of the system as a whole as well as criticality analysis of individual (sub-)components become available. The approach, which has been previously discussed in our paper at FMICS 2019, is further refined, and additional algorithmic approaches, analysis settings and application scenarios in infrastructure and maintenance planning are discussed.

Item URL in elib:https://elib.dlr.de/144220/
Document Type:Article
Title:DFT modeling approach for operational risk assessment of railway infrastructure
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Weik, NormanUNSPECIFIEDhttps://orcid.org/0000-0002-5977-9958UNSPECIFIED
Volk, MatthiasUniversity of TwenteUNSPECIFIEDUNSPECIFIED
Katoen, Joost-PieterRWTH Aachen UniversityUNSPECIFIEDUNSPECIFIED
Date:5 April 2022
Journal or Publication Title:International Journal on Software Tools for Technology Transfer
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 331-350
Series Name:Special Issue: FMICS 2019/2020
Keywords:Dynamic fault trees, Railways, Risk assessment, Railway infrastructure, Routability
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Rail Transport
DLR - Research area:Transport
DLR - Program:V SC Schienenverkehr
DLR - Research theme (Project):V - Digitalisierung und Automatisierung des Bahnsystems (old), V - INTRA - Infrastruktur und Transformation
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Design and Evaluation of Mobility Solutions, BS
Deposited By: Weik, Norman
Deposited On:28 Jul 2022 10:45
Last Modified:28 Jul 2022 10:45

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