Enabling better performance

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    Description

    The ADCI project is being trialled by LNER and c2c and is based on data analysis by the University of Huddersfield using software developed by Cogitare that is now ready for industry roll out. It aims to use on-train data recorders to assess driving technique in respect of safety, energy consumption and punctuality. It will provide an app to enable drivers to assess their own performance and enables targeted support to be provided to individual drivers. The project will also identify common performance issue along the driver’s route.

    The industry has done much to reduce signals passed at danger (SPADs) which, until recently, were normalised by train miles. A more meaningful approach considers how many red signal approaches result in SPADs. To facilitate this, the University of Huddersfield has developed the web based RAATS tool (Red Aspect Approaches To Signals) which uses the train describer data available under Network Rail’s open data initiative. As well as improving SPAD analysis, RAATS provides valuable performance data by, for example, showing where red signals routinely delay trains.

    Period1 Jun 2019

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