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Sensors 2012, 12(12), 16228-16249; doi:10.3390/s121216228

Track Detection in Railway Sidings Based on MEMS Gyroscope Sensors

1
Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, Campus Nord UPC, 08034 Barcelona, Spain
2
Department of Automatic Control, Universitat Politècnica de Catalunya, Campus Nord UPC, 08034 Barcelona, Spain
3
SENER Ingenieria y Sistemas,S.A., Provença 392, 08025 Barcelona, Spain
*
Author to whom correspondence should be addressed.
Received: 12 September 2012 / Revised: 9 November 2012 / Accepted: 13 November 2012 / Published: 23 November 2012
(This article belongs to the Section Physical Sensors)
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Abstract

The paper presents a two-step technique for real-time track detection in single-track railway sidings using low-cost MEMS gyroscopes. The objective is to reliably know the path the train has taken in a switch, diverted or main road, immediately after the train head leaves the switch. The signal delivered by the gyroscope is first processed by an adaptive low-pass filter that rejects noise and converts the temporal turn rate data in degree/second units into spatial turn rate data in degree/meter. The conversion is based on the travelled distance taken from odometer data. The filter is implemented to achieve a speed-dependent cut-off frequency to maximize the signal-to-noise ratio. Although direct comparison of the filtered turn rate signal with a predetermined threshold is possible, the paper shows that better detection performance can be achieved by processing the turn rate signal with a filter matched to the rail switch curvature parameters. Implementation aspects of the track detector have been optimized for real-time operation. The detector has been tested with both simulated data and real data acquired in railway campaigns. View Full-Text
Keywords: track detection; MEMS gyroscope; adaptive matched filtering; railway navigation track detection; MEMS gyroscope; adaptive matched filtering; railway navigation
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Broquetas, A.; Comerón, A.; Gelonch, A.; Fuertes, J.M.; Castro, J.A.; Felip, D.; López, M.A.; Pulido, J.A. Track Detection in Railway Sidings Based on MEMS Gyroscope Sensors. Sensors 2012, 12, 16228-16249.

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