Analyzing And Forecasting Railway Data Using
Linear Data Analysis
Author(s)
E. T. Selig, G. M. Cardillo, E. Stephens & A. Smith
Abstract
Railways collect enormous amounts of data about the current state and use of
their assets. Data collection system for work recording, track and rail
measurement, asset databases, track charts, GIS maps, operations (scheduling),
and engineering are required to operate a railway. The data from each of these
systems have value on their own, but when aggregated together and analyzed
produce a formerly untapped information source. The analysis of railway data is
not new. What is new is that railways can now put in practice a continuous,
consistent and controlled action and planning across the entire railway by
automation of the analysis.
This paper discusses the new and patent pending Analysis and Forecasting
engine. The Engine is one of four parts of a system specifically designed to
address the four Information Technology challenges of Corridor Infrastructure
Management – 1: integration, 2: visualization, 3: data management, and 4: data
analysis. The systems’ integration capabilities enable the connection of different
data sources into a combined and linked data source. It provides visualization
tools to \“see” information within a database of thousands of kilometres and
terabytes of data. The system provides the necessary data maintenance tools for
data import and alignment. The system provides processing tools and a database
to efficiently store and maintain thousands of kilometres of data. The system
enables railways to experiment and apply rules quickly and efficiently without
needing to develop new software. The Analysis and Forecasting engine enables
a simplified method for processing and analyzing the unified data. The four
elements provide an enterprise-class Corridor Infrastructure Management (CIM)
system to enable management of a reliable, safe, planned, and cost efficient
railway.
Keywords
Related Book
Other papers in this volume
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