RailTech : Deep Analytics on Security & Safety

Abstract : This work is focused on RailTech, an emerging technology in rail operation from the perspectives of intelligent management information systems. RailTech integrates intelligent Driver Advice System (DAS), traffic control centre (TCC) and real-time fault diagnostics (RTFD). The technology is analyzed through deep analytics along seven ‘S’ dimensions: scope (S1), system (S2), structure (S3), strategy (S4), security(S5), staff-resources (S6) and skill-style-support (S7). It highlights technology life-cycle analysis on S-Curve and also shows SWOT analysis on three different types of RailTech system architectures. Finally, this work outlines the basic building blocks of real–time fault diagnostics in terms of a set of system verification algorithms: System Verification Algorithm-Control [SVA-C], System Verification Algorithm-Resources [SVA-R], System Verification Algorithm-Data [SVA-D], Fault Tree Analytics [SVA-FTA], FME analytics [SVA-FMEA] and TFPG Analytics [SVA-TFPGA].
Keywords : RailTech, Driver Advice System, Real-time fault diagnostics, Fault tree analysis, FMEA, Time Propagation Failure Graph (TFPG), Control flow, Resource flow, Data flow