This paper focuses on the challenges associated with managing the transportation processes within contemporary railways in the context of growing integration of digital technologies. Despite a significant degree of automation in data collection and routine operations, the responsibility for making critical decisions during failures and non-standard situations continues to rely on the expertise of dispatchers, as there are currently no universal models to guide these scenarios. The study explores emerging trends in the development of railway operation control centres, including advancements in cloud computing, AI-driven adaptive planning, and system integration. It also high-lights the lack of formalized failure management protocols in large railway networks and proposes a comprehensive assessment model for responding to failure scenarios, ranging from normal operations to various forms of disruptions and delays. Additionally, the paper investigates the concept of information time reserve in the rehabilitation of railway operation control systems.