{"product_id":"9783032351494","title":"Reliability, Risk and Safety Analysis of Railway Transport Control Systems","description":"\u003ch3\u003eLecture Notes in Intelligent Transportation and Infrastructure\u003c\/h3\u003e\u003ch1\u003eReliability, Risk and Safety Analysis of Railway Transport Control Systems\u003c\/h1\u003e\u003ch3\u003eIgor Shubinsky | Efim Rozenberg | Alexander Bochkov | Hendrik Schäbe\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eBusiness \u0026amp; Economics \/ Operations Research\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003eThis book offers a comprehensive presentation of methods for analysing reliability, safety, and risk in railway control systems. It introduces a model‑based approach to hybrid reliability and safety assessment, supported by a structured ontology that brings together core concepts from reliability engineering, functional safety, and cybersecurity. It covers structural and functional reliability, the prediction of rare dangerous events, and the mathematical models and metrics used to evaluate critical railway components. Approaches for normalising reliability indicators, analysing switching algorithms, and understanding systematic failures complement the discussion, together with expert‑based techniques for estimating failure distributions where statistical data are limited. Modern challenges, such as the safety of AI‑supported systems, information security risks, and the role of digital twins in preventing hazardous failures, are explored in depth. Practical examples include derailment‑risk reduction, assessment of train movements under prohibited signals, and the use of automated signalling to improve safety at railway stations. Graph‑based methods for evaluating operational safety and tools for modelling fire risks on locomotives are also included. It further presents methods for analysing incomplete expert preferences and constructing risk matrices within the ALARP framework, applicable not only to railway systems but also to other high‑reliability industries.\u003c\/p\u003e\r\n\u003cp\u003eProviding both theoretical foundations and practical applications, this book is a valuable resource for railway engineers, safety specialists, risk analysts, and students in railway and transport engineering.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003cp\u003eProf. Dr. Igor B. Shubinsky is a Chief Expert at JSC NIIAS (Research and Design Institute for Information Technology, Signalling and Telecommunications on Railway Transport) in Moscow, Russia. He holds a Doctor of Technical Sciences degree and is a renowned expert in the fields of technical systems reliability, functional safety, fault tolerance, information security and asset management. Dr. Shubinsky has an extensive publication record, including numerous books on the reliability and safety of control systems, particularly for railway transport, and serves on the editorial board of the journal \"Dependability\" (which he founded) and other scientific publications.\u003c\/p\u003e\r\n\u003cp\u003eProf. Dr. Efim N. Rozenberg is the First Deputy General Director of JSC NIIAS and Chief Designer for Traffic Safety on Russian Railways, Russia. He as well as a full member of the Academy of Electrical Sciences. As one of Russia's leading scientists in railway automation and informatization, his work focuses on functional safety, intelligent systems, train traffic control and intelligent transportation management systems. With a Hirsch index of 21 and hundreds of publications, he is also a member of the editorial boards of all major Russian transport industry journals.\u003c\/p\u003e\r\n\u003cp\u003eDr. Alexander V. Bochkov is the Scientific Secretary at JSC NIIAS, Moscow, and a Researcher at Gazprom Gaznadzor, LLC, Russia. He holds a Doctor of Science degree and has a strong background in system engineering and theoretical physics. His areas of expertise include risk assessment and management, vulnerability analysis of large-scale systems, and mathematical modeling. Dr. Bochkov is a prolific author with numerous journal articles, books, and book chapters on risk analysis, safety science, and the protection of critical infrastructure, and he is the founder of the Gnedenko Forum.\u003c\/p\u003e\r\n\u003cp\u003eDr. Hendrik Schäbe is a Senior Expert for Reliability and Safety at TÜV Rheinland InterTraffic GmbH in Cologne, Germany. He holds a Doctorate in Physics (Dr. rer. nat.) and a habilitation in mathemathical statistics and is the author of over 200 publications. His work spans a wide range of fields including relativistic physics, reliability theory, mathematical statistics, and safety engineering. Dr. Schäbe has made significant contributions to safety assessment processes in European railways, risk analysis for automatic train operation, and has co-authored key studies on auditable AI systems and risk acceptance criteria for automated driving.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e21 December 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer Nature Switzerland\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9783032351494\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":51324264906892,"sku":"9783032351494","price":179.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783032351494.jpg?v=1783554741","url":"https:\/\/lateknightbooks.com\/products\/9783032351494","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}