Case Study: Metro de Madrid boosts digitalization and real-time service planning with Cloudera

Metro de Madrid boosts its digitalization

Metro de Madrid, the rail operator serving Madrid’s 294 km metro network, needed a better way to analyze passenger mobility and plan service using data that had previously been limited, costly to manage, and only available in partial sets. The company also lacked a complete picture of commuter journeys and relied on infrequent surveys that did not reflect events or changing demand.

Metro de Madrid chose Cloudera for its Big Data ecosystem because of its scalability, functionality, and lower total cost of ownership. With Cloudera, the operator now gets real-time analytics every 15 minutes, automatically generates alerts, and uses algorithms to infer trip destinations and produce 80 daily origin-destination matrices instead of one every seven years. The result has been better train planning, improved crowd and COVID-19 capacity control, predictive maintenance, and faster, more informed service decisions.

Metro de Madrid