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Department of Earth Sciences and Research Center for the Geological Risks (CERI) and University of Rome “La Sapienza"

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1 Papers

Experimenting an Embedded-sensor Network for Early Warning of Natural Risks Due to Fast Failures along Railways

Authors: Andrea Fantini ¹ , Massimo Magrini ² , Salvatore Martino ¹ , Davide Moroni ² , Gabriele Pieri ² , Alberto Prestininzi ³ and Ovidio Salvetti ²

Affiliations: ¹ Department of Earth Sciences and Research Center for the Geological Risks (CERI) and University of Rome “La Sapienza”, Italy , ² Institute of Information Science and Technologies, National Research Council, Via Moruzzi and 1, Italy , ³ Department of Earth Sciences and Research Center for the Geological Risks (CERI) and University of Rome “La Sapienza", Italy

Digital Object Identifier: 10.5220/0005462200850091

Proceedings of IMTA-5 2015/VISIGRAPP, ISBN: 978-989-758-094-9

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This paper deals with a project for real-time monitoring of railway tracks to detect events, such as fast failures from natural risks, which may threaten the transit of trains. The paper describes a network of smart sensors for early warning of these endangering events. Three main types of fast-failure events involving railways were identified: sinkhole, rock and debris falls. A case study on a known test site and experimentation with various scenarios were carried out with a view to developing algorithms capable of spotting and localising them. Results demonstrate the good performance of the network in monitoring the investigated events.