A Decision Support System For Track
Maintenance
Author(s)
C. Meier-Hirmer, A. Sen´ee, G. Riboulet, F. Sourget
& M. Roussignol
Abstract
For any railway infrastructure manager, track maintenance is one of the most
important tasks to perform. This mission requires a regular follow-up of
geometric track quality and monitoring of intervention execution. Among other
tools, TIMON, a computer application using track geometry measurements and
maintenance operation data, is currently in use in France. This application
illustrates the evolution of track quality indicators.
We present a possible extension of this tool: a systematic analysis of the
available data by applying a stochastic model for the track geometry deterioration
is proposed. The use of environmental variables in order to identify the significance
of their influence on track degradation is introduced.
The stochastic model has two advantages: on the one hand it enables one to take
into account the intrinsic variability of the degradation phenomenon and on the
other, significant environmental variables are included into the model. The work
presented here aims to classify sections of the high-speed railway network with
respect to similar degradation behaviour. Two different graphical representations
that could ease decision-making are proposed.
Keywords: track degradation, stochastic process, maintenance scheduling,
classification, decision support tool.
1 Introduction
In order to control track geometry, periodic levelling measurements are carried
out by a measurement vehicle called Mauzin. The inspection step depends on the
UIC group (indicator of the line importance). This study refers to high speed lines
Keywords
track degradation, stochastic process, maintenance scheduling,
classification, decision support tool.
Related Book
Other papers in this volume
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