CHALLENGES, CONSTRAINTS, AND FUTURE PERSPECTIVES IN THE DEVELOPMENT OF SOFTWARE SOLUTIONS FOR RAILWAY TRANSPORT

Abstract

This paper analyzes the key challenges, limitations, and development prospects of software solutions in the railway transport sector. In addition to the core analyses, the paper briefly mentions challenges such as the technical complexity of the system, high initial costs, maintenance requirements, and organizational obstacles, without providing an in-depth discussion, as these were not the primary focus of the research. In addition to identifying critical issues, the paper highlights modern trends in railway digitalization, including the application of artificial intelligence, machine learning, the Internet of Things, autonomous trains, and big data analytics. It also presents specific software tools used for timetable planning, resource management, infrastructure design, and safety enhancement. The conclusion emphasizes that successful implementation requires a strategic approach, cross-sector cooperation, and continuous investment in digital technologies to make the railway sector more efficient, safer, and sustainable.