Omnicom to help demonstrate joint ‘RAMP’ project at ICT on Trains workshop

Following two successful editions in 2011 (Prague) and in 2013 (Milan), CENELEC decided to organise this third edition of the workshop “ICT on TRAINS”.

This also reflects the increasingly important role that Information and Communication Technologies (ICT) have in the railway sector, as they are the basis for more attractive, comfortable and added-value services for travellers. They can also offer innovation in fleet management both from operational and maintenance points of view. The focus of this workshop is on information exchange and sharing, on-board trains, on ground and between board and ground applications.

The main objectives of the 2015 Edition of the workshop are:

  • Identify needs and requirements for information exchange coming from European policy, regulations, technical specifications and standards
  • Track the progress of information sharing solutions in current ICT best practices, products and research projects
  • Present and analyse the state of the art of information exchange in ICT innovative products

On Day 2 of this year’s workshop, Graham Shields, Omnicom Project Manager for the RAMP – Railway Asset Management Platform collaborative project, will be speaking on Intelligent monitoring systems and results analysis using cloud technology.

RAMP is a Cybula Limited, Institute of Railway Research, Omnicom Engineering Limited and University of York collaborative project that is funded partly funded by Innovate UK, and the RSSB. It purpose is to develop a Railway Asset Monitoring Platform (RAMP) to encompass big data, primarily focusing on prediction both future track quality and the deterioration rates of discrete track geometry defects such as twist, alignment and top.

The project is addressing the challenges of using data recorded by manned and unattended geometry measuring systems and methods of automatically identifying and flagging anomalies in the data and the techniques that can be used to perform run on run analysis of the same route with the required degree of accuracy.

Empirical models are being used to predict track geometry deterioration together with methods for identifying the effect of both past and future maintenance, be that tamping or stoneblowing.

Techniques have being developed and implemented in a cloud based environment as a Service demonstrator, with the ability to handle large volumes of track geometry data, automating analytics on track quality, forecasting the future track quality and discrete faults and distributing the results to frontline maintenance staff.

RAMP has the potential for presenting a ‘rich picture’ by incorporating a variety of other data sets to aid decision making.


ICT on Trains Workshop
University of Birmingham — 8th & 9th of September, 2015

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