Applying Safety-Critical Fault Tolerant Principles to Survivable Transportation Control Networks

摘要

This project attempted to address the survivability of intelligent traffic control systems, with a special focus on Design and Survivability. We feel that the city of Moscow Intelligent Transportation System (ITS) project offered a unique window of opportunity to study survivability concepts as applied to complex, real-time traffic control networks. Within the national initiative to analyze the extent of vulnerabilities of critical infrastructures to cyber treats, this research attempts to integrate the design concepts of survivability into an ITS. Under normal traffic conditions, network operation is optimized for system-wide objective functions (i.e., minimize network-wide delay or maximize throughput) and system users modify their behavior accordingly by altering their departure time, travel route, or mode of travel. However, when the system is operating under extreme events (e.g., overloaded, damaged, or impacted by accidents and weather conditions) system optimization and dynamics become much more complex due to the interaction between system users, network controls, communication networks, and the physical infrastructure. These interactions are not well understood. This project explored methods to model this problem via simulation and graph theory, with layers for communication, control and physical infrastructures. The results are several analyses of the Moscow ITS project, documented in two papers and one technical report.