Real-Time Train Tracking from Distributed Acoustic Sensing Data
Source abstract
Abstract
In the context of railway safety, it is crucial to know the positions of all trains moving along the infrastructure. In this contribution, we present an algorithm that extracts the positions of moving trains for a given point in time from Distributed Acoustic Sensing (DAS) signals. These signals are obtained by injecting light pulses into an optical fiber close to the railway tracks and measuring the Rayleigh backscatter. We show that the vibrations of moving objects can be identified and tracked in real-time yielding train positions every second. To speed up the algorithm, we describe how the calculations can partly be based on graphical processing units. The tracking quality is assessed by counting the inaccurate and lost train tracks for two different types of cable installations.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Fiber Optic Sensors · Railway Engineering and Dynamics · Advanced Photonic Communication Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
AIT Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria
NBG Fosa GmbH, Johannesgasse 15, 1010 Vienna, Austria
Funding
Wiener Wirtschaftsagentur
References (17)
Show source-provided references
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