At Virtual Desk, we continue to drive the transformation of public transit by leveraging advanced AI and data analytics. We help organizations evolve toward management models that are more efficient, sustainable, and data-driven.

Through our AI4T (Artificial Intelligence for Transport) solution, we have developed an advanced passenger demand forecasting model for Metro de Bilbao. This model is designed to boost operational efficiency and streamline service planning, allowing the organization to stay one step ahead of actual mobility needs.

The solution integrates and processes multiple data streams, including ticketing information, system sensors, open data, and contextual variables such as local events, weather conditions, and historical behavior patterns. This unified data approach enables highly accurate predictions of passenger flow across different time slots, lines, and stations throughout the network.

These predictive capabilities allow Metro de Bilbao to optimize its transit network planning, enhance real-time decision-making, and allocate resources more effectively by matching service supply with forecasted demand. As a result, service quality is increased, inefficiencies are reduced, and the overall passenger experience is improved.

AI4T turns mobility data into actionable insights, enabling smarter public transit management. In doing so, we are accelerating the transition to a more efficient and sustainable model—one that is fully aligned with modern civic needs and where technology serves as the cornerstone for continuous service improvement.