AI4RAILS 2026 – 7th International Workshop on Artificial Intelligence for Railways

An international research workshop dedicated to the application of artificial intelligence technologies in railway systems and transport operations.

About the event

AI4RAILS 2026 – the 7th International Workshop on Artificial Intelligence for Railways – is a specialized academic and industry event focused on the application of artificial intelligence technologies in railway systems. The workshop is organized as part of the International Conference on Optimization and Decision Science (ODS 2026) and will bring together researchers, engineers, and industry experts interested in digital innovation within the rail sector.

The event provides a platform for presenting research results, discussing innovative methodologies, and exploring the role of AI in improving railway operations and infrastructure. Key topics include machine learning applications, neural networks, computer vision, reinforcement learning, and other advanced data-driven methods designed to enhance railway performance and decision-making.

Participants will explore how artificial intelligence can support various aspects of railway systems, including traffic prediction, timetable planning, rolling stock and crew scheduling, and real-time disruption management. Other important themes include predictive maintenance, defect detection, passenger demand forecasting, and data analytics for railway transport.

The workshop also encourages research that combines AI techniques with optimization models to improve planning and operational efficiency across both passenger and freight railway services. By bringing together experts from academia, research institutes, and the railway industry, AI4RAILS 2026 aims to foster collaboration and stimulate innovative solutions that contribute to the digital transformation of modern railway systems.

Through presentations, discussions, and networking opportunities, the event supports the development of advanced intelligent technologies that can help create safer, more reliable, and more efficient rail transport in the future.