Project cooperationUpdated on 12 April 2024

Seeking collaboration in CL5-2024-D6-01-06

Álvaro Flores Cueto

Head of Innovation at Rovimatica

Córdoba, Andalucía, Spain

About

ROVIMATICA is looking to join forces to apply for the Horizon Europe topic CL5-2024-D6-01-06, focusing on optimizing multimodal traffic management. With a robust portfolio of innovative technologies and deep expertise in AI-driven traffic solutions. Our potential contributions include:

  1. Multimodal Traffic Data Acquisition Systems: Utilizing advanced AI, like vision transformers, to provide real-time, actionable traffic data across various transport modes.

  2. Advanced Algorithms for Traffic Analysis: Tailored algorithms for decentralized data processing, ensuring comprehensive analysis of multimodal transport networks.

  3. Cost-Effective Equipment Design: We design and deploy economical and integrated hardware solutions for extensive multimodal traffic data gathering.

  4. Sophisticated Sensory Deployment: Our advanced sensing technologies capture complex data, facilitating deeper insights into network dynamics.

  5. Sensor Fusion and AI Algorithms: We develop cutting-edge algorithms for data integration and traffic prediction, enhancing system reliability and network design.

  6. Mobile Apps for Data Acquisition: User-friendly applications that allow easy reporting of transport data by passengers and freight operators.

  7. Digital Platform for Stakeholder Interaction: Our platforms promote effective collaboration among all stakeholders in the transport value chain.

  8. Prototyping and Real-World Testing: We test our technological solutions in real-world scenarios to demonstrate their impact on traffic efficiency and safety.

  9. Data Sharing Governance and Incentives: We establish models that foster data sharing and interoperability across the transport ecosystem.

Stage

  • Early

Type

  • Partner looking for consortium

Organisation

Rovimatica

Company (SME)

Córdoba, Spain

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