Case study
CITIZENS DEMANDED INNOVATION
Madrid's EMT manages more than 2,500 buses and needed to increase its knowledge of citizens' mobility in the city to improve its traffic and transport models, allowing it to improve the service it provides through the planning of its infrastructure and services.
Madrid's Municipal Transport Company (EMT Madrid), committed to providing an efficient, sustainable, and user-centered public transport service, has collaborated with Virtual Desk to implement a big data-based solution. This technology has enabled EMT Madrid to analyze large volumes of data to optimize operations, improve the passenger experience, and advance towards smarter mobility in the capital.
To obtain this knowledge, up until that point, they relied on the traditional system of household surveys, which was clearly obsolete and extremely expensive to implement, and on data from various sensors and devices.
2,5MM €
In annual costs
0%
Processing of unstructured information
0%
Application of AI models
EMT suspected that the large volume of data it had available, and the existence of new sources of information, would make it possible, through their combination and organization, to achieve a greater understanding of mobility.
- Massive volume of data: The bus network generated large amounts of operational and user data that were not being fully utilized.
- Operational efficiency: It was necessary to optimize routes, schedules and resources to reduce costs and waiting times.
- Passenger satisfaction: Users demanded more accurate information and personalized services.
- Urban sustainability: Reducing environmental impact required more efficient, data-driven planning.
Virtual Desk developed a big data solution tailored to the needs of EMT Madrid, which included:
- Big data analytics platform: A centralized system for collecting, processing, and analyzing large volumes of operational and user data in real time.
- Route and schedule optimization: Data analysis algorithms to identify usage patterns and dynamically adjust transport supply.
- Personalized information for users: Tools that use data to provide passengers with real-time information on schedules, occupancy, and transportation alternatives.
- Sustainable management: Data analysis to minimize fuel consumption and emissions through efficient fleet planning.
- Regulatory compliance: Implementation of security measures aligned with the GDPR to protect user data and operations.
Virtual Desk's big data solution has allowed us to make the most of the information generated by our transport network, improving efficiency, sustainability and the passenger experience in Madrid.
Our platform guarantees accurate, real-time data exchange between institutions, improving reliability and providing a more efficient service for dependent individuals.
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