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Titlebook: Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certifi; 4th International Co Simon Collart-Du

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发表于 2025-3-21 16:23:13 | 显示全部楼层 |阅读模式
书目名称Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certifi
副标题4th International Co
编辑Simon Collart-Dutilleul,Anne E. Haxthausen,Thierry
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certifi; 4th International Co Simon Collart-Du
描述This book constitutes the refereed proceedings of the 4th International Conference on Reliability, Safety, and Security of Railway Systems, RSSRail 2022, held in Paris, France, in June 2022.. The 16 full papers presented in this book were carefully reviewed and selected from numerous submissions. They cover a range of topics including railways system and infrastructure advance modelling; scheduling and track planning; safety process and validation; modelling; formal verification; and security..
出版日期Conference proceedings 2022
关键词architecting; architecture verification and validation; artificial intelligence; computer hardware; comp
版次1
doihttps://doi.org/10.1007/978-3-031-05814-1
isbn_softcover978-3-031-05813-4
isbn_ebook978-3-031-05814-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

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发表于 2025-3-21 20:49:37 | 显示全部楼层
Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certifi978-3-031-05814-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Conference proceedings 202222, held in Paris, France, in June 2022.. The 16 full papers presented in this book were carefully reviewed and selected from numerous submissions. They cover a range of topics including railways system and infrastructure advance modelling; scheduling and track planning; safety process and validation; modelling; formal verification; and security..
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Acceleration Techniques for Symbolic Simulation of Railway Timetablessent transformation rules that allow minimizing the size of the system state representation (which train is where with which probability), without losing exactness. Based on these transformation rules, we propose two different approaches to decrease the simulation effort and thus the running time of
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