Electromagnetic Sensing System Predicts Natural Train Wrecks

Tel Aviv University’s Prof. Lev V. Eppelbaum along with a team of researchers is working on an early warning system for train operators to escape train wrecks caused by natural disasters such as sinkholes, avalanches, landslides, earthquakes and flash floods.

Their work is part of a research program called European Project FP7, which is carried out by an international team comprising researchers from seven different countries.

Prof. Lev V. Eppelbaum of Tel Aviv University

Electromagnetic sensing data collected from magnetic sensors, soil sensors, airplanes, satellites and unmanned aircrafts, in conjunction with state-of-the-art scientific technologies, helps in the prevention of train accidents triggered by natural calamities and terrorist attacks.

According to Prof. Eppelbaum, his diverse research team is on the verge of developing a novel interpretation system from the data collected for the detection of attack on railway tracks. He added that this system can predict natural calamities affecting railway tracks more reliably, and customizing this system on the basis of geophysical and climatic parameters of different regions is a big challenge. This research work will be partially over by 2011.

Source: http://www.aftau.org

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