D48.1 - Autonomous Route Setting (AnRS) conceptual studies: use case list and concept definition

Kurzfassung

This concept study offers an in-depth exploration into the development of an advanced system called autonomous route setting (AnRS) for railway systems, with a specific focus on Grade of Automation 4 (GoA4). The study starts with an introduction to GoA4, detailing its role in achieving high levels of automation where human intervention is minimized, and transitions into a discussion on Automatic Route Setting (ARS), emphasizing its significance in optimizing railway operations. The introduction also covers the latest technological advancements and future trends influencing this field. These include the integration of artificial intelligence (AI) and machine learning, which are novel decision-making processes and predictive maintenance. Sustainability efforts are highlighted, showcasing how modern systems aim to reduce environmental impact. The expansion of global railway networks is discussed, reflecting on how international trends shape local practices. Additionally, the study addresses the evolution of human-machine interactions, aiming to enhance user experience and operational efficiency, and emphasizes the importance of cybersecurity to protect complex automated systems from potential threats. The section concludes by discussing the benefits and challenges associated with these innovations, providing a balanced perspective on their practical implications. In the "State of the Art" section, the document examines the functional requirements of GoA4, offering a thorough overview of current implementations and real-world applications. It explores regulatory considerations essential for compliance and presents an analysis of ARS functionality, including critical components such as the Smart Wayside Object Controller and Radio Driving Mode. This section provides a foundation for understanding how existing technologies are applied and regulated in practice. The central focus of the study is the AnRS concept. This section initiates with the development of use cases, defining practical scenarios and applications. It then progresses to a detailed examination of requirements, including compliance with standards and guidelines such as railML, SCI-CC from EULYNX, IEC/ISO, and various regulatory frameworks. A comprehensive function specification follows, addressing both operational and system needs to ensure that the system meets its intended goals effectively. The document further elaborates on the system architecture and conceptual integration, presenting a detailed design that aligns with existing infrastructure and interlocking interfaces. This ensures that the new system can be seamlessly integrated into current operations without causing disruptions. An operational concept analysis is included, featuring scenario planning and a demonstration case study. This case study illustrates the practical application of the AnRS system, providing a concrete example of how the proposed system operates in a real-world setting. The study concludes by summarizing the key findings and emphasizing the transformative potential of autonomous route setting for the railway industry. The document highlights how this innovative approach can enhance safety, efficiency, and reliability in railway operations, setting a new benchmark for automation. By providing a detailed framework based on the ARCADIA method, the study aims to support future advancements and ensure the successful implementation of autonomous systems in the railway sector.