Project description
Satellite data for improved land transport maintenance and efficiency
Satellite data has revolutionised data collection across various sectors, providing invaluable benefits to scientific research and enhancing tracking and monitoring capabilities. However, there remains untapped potential for using satellite technology in smaller-scale tracking operations. In this context, the EU-funded SPATRA project aims to harness satellite data for monitoring and management purposes. Specifically, the project intends to develop two downstream applications for rail and road transport. By leveraging satellite and in situ data, SPATRA will enable the tracking of road congestion and temperature-related impacts on railway infrastructure and logistics. This data will then be utilised to enhance efficiency and maintenance practices in these sectors.
Objective
SPATRA aims at increasing the use of satellite data in land transport by developing two demonstrators in new downstream applications for monitoring and management of rail and road transport.
SPATRA will use satellite with assisted in-situ data to develop two innovative applications for smart transport and logistics, to solve problems of principal modes of land transport, road and rail: road traffic congestions and negative impact of extreme temperatures on railway infrastructure.
SPATRA will provide benefits of satellite-based logistics and road traffic flow monitoring extended beyond improved efficiency by reducing congestion and improving the flow of goods and people.
A novel space-based service predicting the risk of rail buckling based on downstream application for estimation of the rail temperature will be developed that can support rail management plan to prevent track buckling induced train derailments.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
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Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
28359 Bremen
Germany