Case study
MOBIAM Fuenlabrada: Optimized mobility through Big-data, integrated information and multimodal algorithms System, virtual desktop, GB2S-UPM (2019-21)
Funded by: Ministry of Science, Innovation and Universities (RETOS) and FEDER
MOBIAM, developed by Virtual Desk, is a global mobility platform that transforms how cities manage public and private transportation. Integrating traffic data for vehicles, public transport, pedestrians, weather, and pollution, MOBIAM uses big data technologies to characterize multimodal mobility, build multimodal supply chains, and predict future demand, offering innovative solutions for more efficient and sustainable urban mobility.
Funded by:
The immediate resolution of any incidents that occur on a daily basis is critical for the proper functioning of the service.
+ 5M €
En costes anuales
90%
Retrasos prolongados
100%
Falta de interoperabilidad
It is based on a big data platform that characterizes multimodal mobility in cities and builds multimodal chains.
- Fragmented data: Information on traffic, public transport and other sources is often scattered, making it difficult to get a comprehensive view of mobility.
- Dynamic demand: The variability in mobility patterns requires predictive tools to anticipate needs and optimize resources.
- Sustainability: Reducing environmental impact and improving transport efficiency are key priorities in urban environments.
- User experience: Citizens demand real-time information and accessible services to facilitate their travel.
MOBIAM is a integral big data-based platform that addresses these challenges with the following features:
- Multimodal data integration: Collects and processes traffic data from private vehicles, public transport, pedestrians, weather and pollution, creating a unified view of urban mobility.
- Advanced analysis: Uses big data and machine learning algorithms to build multimodal transport chains and origin-destination matrices, identifying usage patterns.
- Demand forecasting: Predictive models that consider exogenous variables (such as weather or events) to anticipate peak demand and optimize planning.
- Real-time information: Provides up-to-date data to operators and users through mobile applications and information panels, improving the citizen experience.
- Optimized sustainability: Algorithms that minimize energy consumption and emissions through efficient route and resource planning.
- Regulatory compliance: Implementation of security measures aligned with the GDPR to protect user data.
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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