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Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification

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Cover of 'Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification'

Table of Contents

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    Book Overview
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    Chapter 1 Connected or Autonomous Trains?
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    Chapter 2 Towards a Tool-Based Domain Specific Approach for Railway Systems Modeling and Validation
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    Chapter 3 Statistical Model Checking of Hazards in an Autonomous Tramway Positioning System
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    Chapter 4 Performance Evaluation of Metro Regulations Using Probabilistic Model-Checking
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    Chapter 5 Automated Planning of ETCS Tracks
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    Chapter 6 The Recent Applications of Machine Learning in Rail Track Maintenance: A Survey
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    Chapter 7 Safe and Time-Optimal Control for Railway Games
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    Chapter 8 A Tool-Supported Model-Based Method for Facilitating the EN50129-Compliant Safety Approval Process
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    Chapter 9 Efficient Data Validation for Geographical Interlocking Systems
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    Chapter 10 Formal Model Validation Through Acceptance Tests
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    Chapter 11 A Separation of Concerns Approach for the Verified Modelling of Railway Signalling Rules
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    Chapter 12 RBS2HLL
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    Chapter 13 Property-Based Modelling and Validation of a CBTC Zone Controller in Event-B
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    Chapter 14 Interlocking Formal Verification at Alstom Signalling
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    Chapter 15 Survey on Formal Methods and Tools in Railways: The ASTRail Approach
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    Chapter 16 B-Specification of Relay-Based Railway Interlocking Systems Based on the Propositional Logic of the System State Evolution
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    Chapter 17 Threat Modeling in the Railway Domain
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    Chapter 18 Integration Approach for Communications-Based Train Control Applications in a High Assurance Security Architecture
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    Chapter 19 Merging Worlds – Aligning Safety and Security
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Mentioned by

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2 tweeters
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1 Wikipedia page

Readers on

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5 Mendeley
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Title
Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification
Published by
Springer International Publishing, July 2019
DOI 10.1007/978-3-030-18744-6
ISBNs
978-3-03-018743-9, 978-3-03-018744-6
Editors

Collart-Dutilleul, Simon, Lecomte, Thierry, Romanovsky, Alexander

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 40%
Student > Master 2 40%
Student > Doctoral Student 1 20%
Readers by discipline Count As %
Engineering 3 60%
Computer Science 2 40%