Workshop: Cyber Resilience and Quantum Computing in Railway Engineering and Operations

Tuesday, March 7, 2023


Jeong H. Kim Engineering Building
University of Maryland
College Park, MD

MARCH 7TH-8TH, 2023

March 7th: Reception - 6:30pm - 8:00pm
March 8th: Workshop - 8:30am - 4:30pm

The past decade has witnessed the rapid advancement of digital technology and cyber issues due to the explosive growth of data and recent breakthroughs in artificial intelligence, as well as the subfield of machine learning. These breakthroughs continue to generate value across different domains of railway engineering and operations. The most pressing problems arise from data storage, data sharing, privacy, and cyber-related concerns, due to the digital nature of the information and data being collected. Railway transportation in the future will contribute significantly to mobility; therefore, digitalization, cybersecurity, and artificial intelligence are key to higher capacity and passenger satisfaction. Rail cybersecurity is a fundamental requirement for smooth and safe operations. The increased connectivity and digitalization of rail systems and the heavy dependence on new technology, such as the Internet of Things (IoT), sensors and tools, has created cyber vulnerability of rail systems and operations to cyber-attacks.

Railway operations involve a range of scheduling activities, from operational train
dispatching to provisional timetables. Incorrect decisions can have a serious impact on operations and safety. Quantum computing in railway engineering and operations is relatively new, and its formulation and analysis is at an early stage. The future use of digital twins in railway track engineering is very promising. It provides a computational that evolves over time to persistently represent the railway structure and its components, systems, and processes. Digital twins underpin intelligent automation by supporting data-driven decision making and
enabling asset-specific analysis and system behavior. Within the context of railway systems, digital twins represent the flow of information among connected platforms and the central clearing house for data and visualization. As railway agencies convert to digital twin capabilities, agencies have to migrate towards continuous real-time railway data models and calibrate by pairing data from real-time sensors, meters, and weather. Little research and fewer efforts have so far taken place to exploit the hierarchical relationship between systems in an integrated way. This area is ripe for quantum computation processes. A simulation may be used to optimize the configuration of the railway systems and components.

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