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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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書目名稱Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certifi
副標(biāo)題4th International Co
編輯Simon Collart-Dutilleul,Anne E. Haxthausen,Thierry
視頻videohttp://file.papertrans.cn/827/826426/826426.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面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
關(guān)鍵詞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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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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