The SPECTRA project, a National R&D consortium formed by 8 companies and supported by another 10 research organizations including the BISITE research group of the University of Salamanca, is part of the "Cien 2015" funded by the Centre for Technology and Industry development (CDTI).

This project, which began in 2015 with a budget of €9.9M, will last 48 months. The main objective of the project is to improve urban mobility by reducing traffic congestion and its corresponding impact on the environment, which will be achieved by building a model that incorporates a wide range of technologies. That is precisely the reason for the Consortium, led by AYESA (national and international leader in Smart Mobility), as each one of the collaborating companies and organizations will support the event by providing the latest cutting edge tech materials and technology research (carbon nanofibers, various types of graphene, ceramics, batteries Pb-Ac, power electronics, ultra-light composite structures based on thermosetting resins with high-performance fibers, RTM processes, and intelligent software as Big Data, social computing and self-organizing systems), all of which makes it possible to build a model with cutting-edge technological innovations.

The companies participating in the consortium are: AYESA, GRUPO ANTOLIN INGENIERÍA, FAGOR ELECTRÓNICAEXIDE TECHNOLOGIES, JOFEMAR, FAE, SOFITEC and NOXIUM. The consortium is completed by collaborations with public universities and national technological centers (UPM, USAL, UAM, US, CSIC-INCAR, CSIC-CINN GRADIENT, GAIKER, ITCL and MATERFAD).

The role of BISITE within the large consortium is to work with AYESA to create intelligent traffic control systems with the company. This requires a Cloud platform capable of processing all the data related to traffic volume and emissions collected by various types of sensors strategically placed throughout the city in areas with high levels of traffic such as seaports, football stadiums, etc., as well as inside intelligent vehicles. The platform will also be able to obtain information from public databases in order to improve rush hour traffic congestion by regulating the traffic lights in specific areas of interest

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