The SEGVAUTO-5Gen programme aims to carry out cutting-edge research to improve the mobility of the future. The consortium is made up of 9 research groups, two groups and six associated companies, bringing together almost a hundred researchers, led by the most recognised researchers in their speciality in the Community of Madrid. It is framed within the scientific area of Ecological Transition and is made up of eight scientific-technical objectives. These objectives will promote propulsion systems based on hydrogen technologies, perception and behaviour prediction systems based on context information, context-adapted decision-making systems, advanced traffic and mobility management systems based on hybrid intelligence, intelligent, connected and cooperative V2I mobility systems, analysis of vehicle maintenance on road safety and emissions, and the application of digital twins to improve occupant safety.

The SEGVAUTO-5Gen programme is the result of collaboration between research groups linked to mobility and vehicles in the Community of Madrid. This collaboration has been maintained for more than 18 years and has been funded in four consecutive calls for R&D programmes for technology groups in the Community of Madrid. 

The programme is framed in the scientific area of Ecological Transition and in the sub-areas of: Energy storage systems and new energy vectors, hydrogen technologies; Navigation systems, traffic control and transport safety, including connected mobility and applications of ICT technologies (Big Data, AI, 5G) to intelligent mobility. Mobility as a service and Design, development and manufacturing of propulsion systems and auxiliary systems for transport vehicles. It is also linked to the Communications and Digital Transformation area in its Virtual Reality Systems and Digital Twins sub-area.

The programme is composed of eight scientific and technical objectives. These objectives will drive the design and development of propulsion systems based on hydrogen technologies, digital models to improve the energy efficiency of hybrid and/or electric vehicles for collective and industrial transport through advanced dynamic and structural simulation tools, perception and behaviour prediction systems based on context and interaction information (HMI) between autonomous vehicles and road users to improve transport safety, context-aware decision making systems for safe and robust navigation of autonomous vehicles based on explainable and reliable artificial intelligence, advanced traffic and mobility management systems for micro and macro decision making based on hybrid intelligence and collective data, intelligent, connected and cooperative vehicle-infrastructure mobility systems, analysis and assessment of the level and evolution of vehicle maintenance, road safety and emissions based on machine learning techniques and models, and the application of digital twins to improve safety in passenger transport.

The 8 objectives pursued by this programme of activities are:

1. Design and development of propulsion systems based on hydrogen technologies.
2. Digital models for improving the energy efficiency of hybrid and/or electric vehicles for collective and industrial transport by means of advanced dynamic and structural simulation tools.
3. Context and interaction information (HMI)-based behaviour perception and prediction systems between autonomous vehicles and road users for improved transport safety
4. Context-aware decision-making systems for safe and robust navigation of autonomous vehicles based on explainable and reliable artificial intelligence..
5. Advanced traffic and mobility management systems for micro and macro decision making based on hybrid intelligence and collective data.
6. Intelligent, connected and cooperative vehicle-infrastructure mobility systems.
7. Analysis and evaluation of the level and evolution of vehicle maintenance, road safety and emissions based on machine learning techniques and models.
8. Application of digital twins to improve passenger transport safety.

El consorcio actual está formado por 9 grupos de investigación de la Comunidad de Madrid, junto con dos grupos y seis empresas asociados. El equipo investigador aglutina más de un centenar de investigadores, liderados por los investigadores más reconocidos en su especialidad de la Comunidad de Madrid. La gestión y coordinación de este potencial investigador e innovador, la asume el INSIA, institución que cuenta con un gran equipo investigador y dilatada experiencia en el liderazgo de proyectos de investigación. Es la quinta vez que asume, la coordinación de este tipo de programas.

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