EGALITE

Research on EGNOS/Galileo in Aviation and Terrestrial Multi-sensors Mobility Applications for Emergency Prevention and Handling

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 Obiettivo del progetto (Objective)

'The EGALITE project is designed for intersectorial transfer of knowledge and staff training between large university from Poland, Silesian University of Technology, and two efficient SMEs: Pildo from Spain and LG Nexera from Austria. The project will achieve this goal in the field of multi-sensors mobility applications for emergency prevention and handling using European EGNOS/Galileo global navigation satellite system (GNSS). Through collaborative research programme, the partners will develop prototypes of original and innovative terrestrial and aviation GNSS applications. Starting with multisensor studies and exploiting professional integrating technologies, the EGALITE partnership will propose, implement, and verify in the field tests: (1) new functionalities to e-Call service intended to bring through mobile devices with integrated accelerometers rapid assistance to motorists involved in a collision or traffic jams anywhere in EU, (2) system aimed to prevent emergency for helicopters flying close to ground in foggy conditions by warning a pilot about proximity of electric lines using satellite navigation systems integrated with electromagnetic field sensors. The research will be carried out also in artificial intelligence and machine learning in order to recognise the type of emergency situation from sensor raw data supplemented by mathematical models. The project will study the employment of a hardware black box installed in vehicles that will wirelessly send information about airbag deployment, impact (measured by accelerometers), and fire (measured by thermal sensors) as well as GNSS coordinates to local emergency agencies. The use of mass-market mobile phones devices with integrated GNSS receiver in combination with accelerometer will be also considered in implementation of the enhanced e-Call service concept. For that purpose, investigating of the precision limits in positioning techniques for single frequency low cost GNSS receivers will also be studied.'

Introduzione (Teaser)

Intelligent transport systems can detect incidents and contribute to implementing emergency response plans, ensuring safer road networks in Europe. The EU supports research to further improve communication between vehicle and road infrastructure.

Descrizione progetto (Article)

The Global Navigation Satellite System (GNSS) allows its users with a compatible device to determine their position, velocity and local time by processing signals from satellites in orbit around Earth. The European Geostationary Navigation Overlay Service (EGNOS), Europe's GNSS as a precursor of Galileo, guarantees precise positioning services.

EGNOS is designed for civil aviation operations. However, the characteristics of the EGNOS signal also allow land transport applications. Solutions and technologies able to deliver value-added services for road transport are being developed by the EU-funded project http://www.egalite-project.eu/ (EGALITE) (Research on EGNOS/Galileo in aviation and terrestrial multi-sensors mobility applications for emergency prevention and handling).

Researchers from Poland collaborate with two SMEs from Spain and Austria to add new functionalities to the pan-European eCall service. Capitalising on the efforts of past research projects and company investments, the EGALITE team works on providing assistance to motorists involved in a collision or traffic jam through mobile devices.

Specifically, use of mobile phones equipped with a GNSS receiver in combination with an accelerometer is being explored to enable continuous tracking services. GNSS-tracking devices ensure that the user's position, date and time, the speed and, of course, any deviations from predefined paths are transmitted automatically to a monitoring centre.

At the monitoring centre, positions will be displayed on maps to inform emergency response authorities and support the implementation of emergency response plans. Research is also being carried out in artificial intelligence and machine learning to assist in recognising the type of emergency situation from raw data by means of mathematical models.

Next, EGALITE researchers plan to gradually extend the use of EGNOS to prevent emergencies from happening for helicopters during landing.