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A data-driven approach to sustainable operation, maintenance and development of the railway electrification system

Funder

Network Rail

Collaborators

Network Rail,

Coventry University (CBiS),

Virgin Trains,

Alstom Transport,

ID Computing.

Project Team

(PI) Dr Alexeis Garcia-Perez, Centre for Business in Society (CBiS),

Amritpal Slaich, Senior Lecturer, Faculty of Business & Law, Coventry University,

Project Objectives

Provide a data-driven, system-view of Overhead Line Equipment in railway to inform Network Rail’s strategy for infrastructure management. 

Impact Statement

A successful data-driven strategy for the management of the railway electrification system would support the railway industry not only operationally but also environmentally and from the perspective of passenger service and comfort. 

As part of a consortium also including Virgin Trains, Alstom Transport and ID Computing, Coventry University supports Network Rail in their efforts to use data to better understand the operation of the railway electrification system.  In particular, this research focuses on the interaction between trains and the electrification system through the analysis of data currently being collected from Overhead Line Equipment using passenger trains.  The ultimate aim is to create a data-driven system-view of railway electrification infrastructure which enables its sustainable operation, maintenance and development by Network Rail.